From e0c379522464d942c54f92506451061abf6d4924 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Tue, 20 Feb 2024 18:41:36 -0500 Subject: [PATCH 01/16] add other required packages to setup.py --- setup.py | 69 ++++++++++++++++++++++++++++++++------------------------ 1 file changed, 40 insertions(+), 29 deletions(-) diff --git a/setup.py b/setup.py index b90594a85..4d1be230d 100644 --- a/setup.py +++ b/setup.py @@ -1,38 +1,49 @@ from setuptools import setup -with open('README.md') as f: +with open("README.md") as f: longdesc = f.read() -version = '3.5.0' +version = "3.5.0" config = { - 'description': 'Tax Calculator', - 'url': 'https://github.com/PSLmodels/Tax-Calculator', - 'download_url': 'https://github.com/PSLmodels/Tax-Calculator', - 'description': 'taxcalc', - 'long_description': longdesc, - 'version': version, - 'license': 'CC0 1.0 Universal (CC0 1.0) Public Domain Dedication', - 'packages': ['taxcalc', 'taxcalc.cli'], - 'include_package_data': True, - 'name': 'taxcalc', - 'install_requires': ['setuptools', 'numpy', 'pandas', 'bokeh', 'numba'], - 'classifiers': [ - 'Development Status :: 4 - Beta', - 'Intended Audience :: Developers', - 'Natural Language :: English', - 'License :: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication', - 'Operating System :: OS Independent', - 'Programming Language :: Python', - 'Programming Language :: Python :: 3', - 'Programming Language :: Python :: 3.7', - 'Programming Language :: Python :: 3.8', - 'Programming Language :: Python :: 3.9', - 'Topic :: Software Development :: Libraries :: Python Modules'], - 'tests_require': ['pytest'], - 'entry_points': { - 'console_scripts': ['tc=taxcalc.cli.tc:cli_tc_main'] - } + "description": "Tax Calculator", + "url": "https://github.com/PSLmodels/Tax-Calculator", + "download_url": "https://github.com/PSLmodels/Tax-Calculator", + "description": "taxcalc", + "long_description": longdesc, + "version": version, + "license": "CC0 1.0 Universal (CC0 1.0) Public Domain Dedication", + "packages": ["taxcalc", "taxcalc.cli"], + "include_package_data": True, + "name": "taxcalc", + "install_requires": [ + "setuptools", + "numpy", + "pandas", + "bokeh", + "numba", + "requests", + "paramtools", + "behresp", + "aiohttp", + "curl", + "openpyxl", + ], + "classifiers": [ + "Development Status :: 4 - Beta", + "Intended Audience :: Developers", + "Natural Language :: English", + "License :: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication", + "Operating System :: OS Independent", + "Programming Language :: Python", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Topic :: Software Development :: Libraries :: Python Modules", + ], + "tests_require": ["pytest"], + "entry_points": {"console_scripts": ["tc=taxcalc.cli.tc:cli_tc_main"]}, } setup(**config) From 56f8c71507ac985e8577cbb955bb2cf7bf14667e Mon Sep 17 00:00:00 2001 From: jdebacker Date: Tue, 20 Feb 2024 18:42:08 -0500 Subject: [PATCH 02/16] pin to Python < 3.12 --- conda.recipe/meta.yaml | 6 +++--- environment.yml | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/conda.recipe/meta.yaml b/conda.recipe/meta.yaml index b7a076d8f..9f6d8f8cc 100755 --- a/conda.recipe/meta.yaml +++ b/conda.recipe/meta.yaml @@ -8,7 +8,7 @@ build: requirements: build: - - python + - "python<3.12" - "numpy>=1.14" - "pandas>=1.2.0" - "bokeh>=1.4.0, <3.0.0" @@ -19,9 +19,9 @@ requirements: - aiohttp - curl - openpyxl - + run: - - python + - "python<3.12" - "numpy>=1.14" - "pandas>=1.2.0" - "bokeh>=1.4.0, <3.0.0" diff --git a/environment.yml b/environment.yml index ea0200d93..19dc1a14d 100644 --- a/environment.yml +++ b/environment.yml @@ -2,7 +2,7 @@ name: taxcalc-dev channels: - conda-forge dependencies: -- python +- "python<3.12" - curl - "numpy>=1.14" - "pandas>=1.2.0" From cbc5a59b2efc6c03f1c90fc6794bdb6724755745 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Tue, 20 Feb 2024 19:48:49 -0500 Subject: [PATCH 03/16] remove some from setup.py --- setup.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/setup.py b/setup.py index 4d1be230d..84bf4ea77 100644 --- a/setup.py +++ b/setup.py @@ -24,10 +24,6 @@ "numba", "requests", "paramtools", - "behresp", - "aiohttp", - "curl", - "openpyxl", ], "classifiers": [ "Development Status :: 4 - Beta", From 569f79ce00e550a4f99f2cfb16099b7ec0cb2550 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Wed, 21 Feb 2024 15:58:36 -0500 Subject: [PATCH 04/16] drop extension from license file --- LICENSE.md => LICENSE | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename LICENSE.md => LICENSE (100%) diff --git a/LICENSE.md b/LICENSE similarity index 100% rename from LICENSE.md rename to LICENSE From 7ad749c3dd68ef7c0b0feecfe9e1701f7a0b1b86 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Wed, 21 Feb 2024 16:07:26 -0500 Subject: [PATCH 05/16] update readme metadata --- README.md | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 48eefbd2e..2d5b7091c 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,8 @@ -[![PSL cataloged](https://img.shields.io/badge/PSL-cataloged-a0a0a0.svg)](https://www.PSLmodels.org) -[![Python 3.6+](https://img.shields.io/badge/python-3.6%2B-blue.svg)](https://www.python.org/downloads/release/python-360/) -[![Build Status](https://travis-ci.org/PSLmodels/Tax-Calculator.svg?branch=master)](https://travis-ci.org/PSLmodels/Tax-Calculator) -[![Codecov](https://codecov.io/gh/PSLmodels/Tax-Calculator/branch/master/graph/badge.svg)](https://codecov.io/gh/PSLmodels/Tax-Calculator) +| | | +| --- | --- | +| Org | [![PSL cataloged](https://img.shields.io/badge/PSL-cataloged-a0a0a0.svg)](https://www.PSLmodels.org) [![OS License: CCO-1.0](https://img.shields.io/badge/OS%20License-CCO%201.0-yellow)](https://github.com/PSLmodels/Tax-Calculator/blob/master/LICENSE) [![Jupyter Book Badge](https://jupyterbook.org/badge.svg)](https://pslmodels.github.io/Tax-Calculator/) | +| Package | [![Python 3.9](https://img.shields.io/badge/python-3.9-blue.svg)](https://www.python.org/downloads/release/python-3916/) [![Python 3.10](https://img.shields.io/badge/python-3.10-blue.svg)](https://www.python.org/downloads/release/python-3108/) [![Python 3.11](https://img.shields.io/badge/python-3.10-blue.svg)](https://www.python.org/downloads/release/python-3118/) [![PyPI Latest Release](https://img.shields.io/pypi/v/taxcalc.svg)](https://pypi.org/project/taxcalc/) [![PyPI Downloads](https://img.shields.io/pypi/dm/taxcalc.svg?label=PyPI%20downloads)](https://pypi.org/project/taxcalc/) [![Anaconda](https://img.shields.io/conda/dn/conda-forge/taxcalc?color=brightgreen&label=downloads&logo=conda-forge)](https://anaconda.org/conda-forge/taxcalc)| +| Testing | ![example event parameter](https://github.com/PSLmodels/Tax-Calculator/actions/workflows/build_and_test.yml/badge.svg?branch=master) ![example event parameter](https://github.com/PSLmodels/Tax-Calculator/actions/workflows/deploy_jupyterbook.yml/badge.svg?branch=master) [![Codecov](https://codecov.io/gh/PSLmodels/Tax-Calculator/branch/master/graph/badge.svg)](https://codecov.io/gh/PSLmodels/Tax-Calculator) | Tax-Calculator @@ -11,7 +12,7 @@ Tax-Calculator is an open-source microsimulation model for static analysis of USA federal income and payroll taxes. We are seeking contributors and maintainers. If you are interested in joining the project as a contributor or maintainer, -open a new [issue](https://github.com/PSLmodels/Tax-Calculator/issues) and ping @MattHJensen or @jdebacker -- or just jump right in. +open a new [issue](https://github.com/PSLmodels/Tax-Calculator/issues) and ping [@MattHJensen](https://github.com/MattHJensen/) or [@jdebacker](https://github.com/jdebacker/) -- or just jump right in. Complete documentation is available [here](https://PSLmodels.github.io/Tax-Calculator/). From 2f53f3a13a7b005d3c2d117257920be3dc3e40ff Mon Sep 17 00:00:00 2001 From: jdebacker Date: Wed, 21 Feb 2024 19:04:10 -0500 Subject: [PATCH 06/16] test on python 3.9-3.11 --- .github/workflows/build_and_test.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml index f4eef9568..c57381ee1 100644 --- a/.github/workflows/build_and_test.yml +++ b/.github/workflows/build_and_test.yml @@ -1,4 +1,4 @@ -name: Build Package and Test Source Code [Python 3.7, 3.8, 3.9, 3.10] +name: Build Package and Test Source Code [Python 3.9, 3.10, 2.11] on: [push, pull_request] @@ -8,7 +8,7 @@ jobs: strategy: matrix: os: [ubuntu-latest, windows-latest] - python-version: [3.7, 3.8, 3.9, '3.10'] + python-version: [3.9, '3.10', '3.11'] steps: - name: Checkout From 3ff655e537d79bb4484c302f051aef8116219d88 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Wed, 21 Feb 2024 19:04:25 -0500 Subject: [PATCH 07/16] fix py 3.11 badge --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 2d5b7091c..3c3aba333 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ | | | | --- | --- | | Org | [![PSL cataloged](https://img.shields.io/badge/PSL-cataloged-a0a0a0.svg)](https://www.PSLmodels.org) [![OS License: CCO-1.0](https://img.shields.io/badge/OS%20License-CCO%201.0-yellow)](https://github.com/PSLmodels/Tax-Calculator/blob/master/LICENSE) [![Jupyter Book Badge](https://jupyterbook.org/badge.svg)](https://pslmodels.github.io/Tax-Calculator/) | -| Package | [![Python 3.9](https://img.shields.io/badge/python-3.9-blue.svg)](https://www.python.org/downloads/release/python-3916/) [![Python 3.10](https://img.shields.io/badge/python-3.10-blue.svg)](https://www.python.org/downloads/release/python-3108/) [![Python 3.11](https://img.shields.io/badge/python-3.10-blue.svg)](https://www.python.org/downloads/release/python-3118/) [![PyPI Latest Release](https://img.shields.io/pypi/v/taxcalc.svg)](https://pypi.org/project/taxcalc/) [![PyPI Downloads](https://img.shields.io/pypi/dm/taxcalc.svg?label=PyPI%20downloads)](https://pypi.org/project/taxcalc/) [![Anaconda](https://img.shields.io/conda/dn/conda-forge/taxcalc?color=brightgreen&label=downloads&logo=conda-forge)](https://anaconda.org/conda-forge/taxcalc)| +| Package | [![Python 3.9](https://img.shields.io/badge/python-3.9-blue.svg)](https://www.python.org/downloads/release/python-3916/) [![Python 3.10](https://img.shields.io/badge/python-3.10-blue.svg)](https://www.python.org/downloads/release/python-3108/) [![Python 3.11](https://img.shields.io/badge/python-3.11-blue.svg)](https://www.python.org/downloads/release/python-3118/) [![PyPI Latest Release](https://img.shields.io/pypi/v/taxcalc.svg)](https://pypi.org/project/taxcalc/) [![PyPI Downloads](https://img.shields.io/pypi/dm/taxcalc.svg?label=PyPI%20downloads)](https://pypi.org/project/taxcalc/) [![Anaconda](https://img.shields.io/conda/dn/conda-forge/taxcalc?color=brightgreen&label=downloads&logo=conda-forge)](https://anaconda.org/conda-forge/taxcalc)| | Testing | ![example event parameter](https://github.com/PSLmodels/Tax-Calculator/actions/workflows/build_and_test.yml/badge.svg?branch=master) ![example event parameter](https://github.com/PSLmodels/Tax-Calculator/actions/workflows/deploy_jupyterbook.yml/badge.svg?branch=master) [![Codecov](https://codecov.io/gh/PSLmodels/Tax-Calculator/branch/master/graph/badge.svg)](https://codecov.io/gh/PSLmodels/Tax-Calculator) | From d6a542d8fb17b57e6bbc7d1331f3008d7217aeac Mon Sep 17 00:00:00 2001 From: github-actions Date: Thu, 22 Feb 2024 22:28:02 +0000 Subject: [PATCH 08/16] Update test benchmark 2024-02-22 --- taxcalc/tests/test_stats_benchmark.csv | 596 ++++++++++++------------- 1 file changed, 298 insertions(+), 298 deletions(-) diff --git a/taxcalc/tests/test_stats_benchmark.csv b/taxcalc/tests/test_stats_benchmark.csv index 33625476c..31dd07908 100644 --- a/taxcalc/tests/test_stats_benchmark.csv +++ b/taxcalc/tests/test_stats_benchmark.csv @@ -1,335 +1,335 @@ ,test_id,pytest_obj,status,duration_ms,test_tuple,expected_value,revision,expect,fname,jfname,pfname,good_revision,params,is_paramtools,set_year,csv,fyear,input_data,baseline,reform,assump,outdir,year,base,ref,asm,dumpvar_str,str_valid,num_vars,time_diff -0,taxcalc/tests/test_4package.py::test_for_consistency,,passed,3.8533480000069176,,,,,,,,,,,,,,,,,,,,,,,,,,0.012277999985599308 -1,taxcalc/tests/test_benefits.py::test_benefits,,passed,4128.532368999999,,,,,,,,,,,,,,,,,,,,,,,,,,192.6854849999986 -2,taxcalc/tests/test_calcfunctions.py::test_calc_and_used_vars,,passed,38.0213789999857,,,,,,,,,,,,,,,,,,,,,,,,,,3.261771999973462 -3,taxcalc/tests/test_calcfunctions.py::test_function_args_usage,,passed,1.8888740000022608,,,,,,,,,,,,,,,,,,,,,,,,,,0.0009649999981320434 -4,taxcalc/tests/test_calcfunctions.py::test_DependentCare,,passed,0.2579599999990023,,,,,,,,,,,,,,,,,,,,,,,,,,0.014933999977984114 -5,"taxcalc/tests/test_calcfunctions.py::test_StdDed[Married, young]",,passed,0.1894120000258681,"(0, 1000, [6000, 12000, 6000, 12000, 12000], 45, 44, [1500, 1200, 1500, 1500, 1500], 1000, 2, 0, 0, 0, 2, 0, False, 0)",12000,,,,,,,,,,,,,,,,,,,,,,,,0.00539700002377691 -6,"taxcalc/tests/test_calcfunctions.py::test_StdDed[Married, allow charity]",,passed,0.17630799999324154,"(0, 1000, [6000, 12000, 6000, 12000, 12000], 66, 44, [1500, 1200, 1500, 1500, 1500], 1000, 2, 0, 1, 1, 2, 200, True, 300)",15800,,,,,,,,,,,,,,,,,,,,,,,,0.003023999965989843 -7,"taxcalc/tests/test_calcfunctions.py::test_StdDed[Married, allow charity, over limit]",,passed,0.1756569999997737,"(0, 1000, [6000, 12000, 6000, 12000, 12000], 44, 66, [1500, 1200, 1500, 1500, 1500], 1000, 2, 0, 0, 0, 2, 400, True, 300)",13500,,,,,,,,,,,,,,,,,,,,,,,,0.0020720000293295016 -8,"taxcalc/tests/test_calcfunctions.py::test_StdDed[Married, two old]",,passed,0.17298200000936959,"(0, 1200, [6000, 12000, 6000, 12000, 12000], 66, 67, [1500, 1200, 1500, 1500, 1500], 1000, 2, 0, 0, 0, 2, 0, True, 0)",14400,,,,,,,,,,,,,,,,,,,,,,,,0.0052079999761645845 -9,taxcalc/tests/test_calcfunctions.py::test_StdDed[Single 1],,passed,0.17661800001178563,"(0, 1000, [6000, 12000, 6000, 12000, 12000], 44, 0, [1500, 1200, 1500, 1500, 1500], 1000, 1, 0, 0, 0, 2, 0, True, 0)",6000,,,,,,,,,,,,,,,,,,,,,,,,0.007160000052408633 -10,taxcalc/tests/test_calcfunctions.py::test_StdDed[Single 2],,passed,0.1849129999982324,"(0, 1000, [6000, 12000, 6000, 12000, 12000], 44, 0, [1500, 1200, 1500, 1500, 1500], 1000, 1, 0, 0, 0, 2, 0, True, 0)",6000,,,,,,,,,,,,,,,,,,,,,,,,0.01702800000202842 -11,"taxcalc/tests/test_calcfunctions.py::test_StdDed[Married, Single]",,passed,0.17993499997714935,"(0, 1000, [6000, 12000, 6000, 12000, 12000], 44, 0, [1500, 1200, 1500, 1500, 1500], 1000, 3, 1, 0, 0, 2, 0, True, 0)",0,,,,,,,,,,,,,,,,,,,,,,,,0.014104000030101843 -12,"taxcalc/tests/test_calcfunctions.py::test_StdDed[Marrid, Single, dep, under earn]",,passed,0.1747450000095796,"(1, 200, [6000, 12000, 6000, 12000, 12000], 44, 0, [1500, 1200, 1500, 1500, 1500], 1000, 3, 0, 0, 0, 2, 0, True, 0)",1000,,,,,,,,,,,,,,,,,,,,,,,,0.004165000035527611 -13,"taxcalc/tests/test_calcfunctions.py::test_StdDed[Married, Single, dep, over earn]",,passed,0.18193800002563876,"(1, 1000, [6000, 12000, 6000, 12000, 12000], 44, 0, [1500, 1200, 1500, 1500, 1500], 1000, 3, 0, 0, 0, 2, 0, True, 0)",1350,,,,,,,,,,,,,,,,,,,,,,,,0.010997000060797346 -14,taxcalc/tests/test_calcfunctions.py::test_EI_PayrollTax[case 1],,passed,0.254122000001189,"(120000, 10000, 15000, 100, 2000, 0.12, 0.03, 0, 99999999999, 400, 0, 0, 0, 0, 0, 0, None, None, None, None, None, None, None, None, None, None, None)","(0, 4065, 4065, 0, 0, 3252, 25000, 10000, 15000, 10100, 17000)",,,,,,,,,,,,,,,,,,,,,,,,0.012257999969733702 -15,taxcalc/tests/test_calcfunctions.py::test_EI_PayrollTax[case 2],,passed,0.2240869999923234,"(120000, 10000, 15000, 100, 2000, 0.12, 0.03, 0, 99999999999, 400, 2000, 0, 10000, 0, 0, 3000, None, None, None, None, None, None, None, None, None, None, None)","(15000, 6146.25, 4065, 2081.25, 1040.625, 4917, 38959.375, 21167.5, 17791.875, 21380, 19820)",,,,,,,,,,,,,,,,,,,,,,,,0.009384000009049487 -16,taxcalc/tests/test_calcfunctions.py::test_EI_PayrollTax[case 3],,passed,0.24267099999519814,"(120000, 150000, 15000, 100, 2000, 0.12, 0.03, 0, 99999999999, 400, 2000, 0, 10000, 0, 0, 3000, None, None, None, None, None, None, None, None, None, None, None)","(15000, 22202.25, 21453, 749.25, 374.625, 16773, 179625.375, 161833.5, 17791.875, 161380, 19820)",,,,,,,,,,,,,,,,,,,,,,,,0.029362000049104636 -17,taxcalc/tests/test_calcfunctions.py::test_EI_PayrollTax[case 4],,passed,0.22459800001684016,"(120000, 500000, 15000, 100, 2000, 0.12, 0.03, 0, 400000, 400, 2000, 0, 10000, 0, 0, 3000, None, None, None, None, None, None, None, None, None, None, None)","(15000, 46067.85, 31953, 749.25, 374.625, 30138.6, 529625.375, 511833.5, 17791.875, 511380, 19820)",,,,,,,,,,,,,,,,,,,,,,,,0.011939000017946455 -18,taxcalc/tests/test_calcfunctions.py::test_EI_PayrollTax[case 5],,passed,0.22399699997777134,"(120000, 10000, 15000, 100, 2000, 0.12, 0.03, 0, 99999999999, 400, 300, 0, 0, 0, 0, 0, None, None, None, None, None, None, None, None, None, None, None)","(300, 4065, 4065, 0, 0, 3285.3, 25300, 10279.1875, 15000, 10382, 17000)",,,,,,,,,,,,,,,,,,,,,,,,0.010206000013113226 -19,taxcalc/tests/test_calcfunctions.py::test_EI_PayrollTax[case 6],,passed,0.23545799999169503,"(120000, 10000, 15000, 100, 2000, 0.12, 0.03, 0, 99999999999, 400, 0, 0, 0, 0, -40000, 0, None, None, None, None, None, None, None, None, None, None, None)","(-40000, 4065, 4065, 0, 0, 3252, 0, 0, 15000, 10100, 17000)",,,,,,,,,,,,,,,,,,,,,,,,0.022719999975606725 -20,taxcalc/tests/test_calcfunctions.py::test_AfterTaxIncome,,passed,0.17711000000986132,,,,,,,,,,,,,,,,,,,,,,,,,,0.002313000010190136 -21,taxcalc/tests/test_calcfunctions.py::test_ExpandIncome,,passed,0.19104599999764105,,,,,,,,,,,,,,,,,,,,,,,,,,0.025445000005674956 -22,taxcalc/tests/test_calcfunctions.py::test_LumpSumTax[test_tuple0-expected_value0],,passed,0.18258000000059837,"(1, 1, 2, 0, 0, 1000)","(0, 1000)",,,,,,,,,,,,,,,,,,,,,,,,0.01005699999723228 -23,taxcalc/tests/test_calcfunctions.py::test_LumpSumTax[test_tuple1-expected_value1],,passed,0.17057699997735654,"(0, 1, 2, 0, 0, 1000)","(0, 1000)",,,,,,,,,,,,,,,,,,,,,,,,0.007570999997597028 -24,taxcalc/tests/test_calcfunctions.py::test_LumpSumTax[test_tuple2-expected_value2],,passed,0.16986700001098143,"(1, 1, 2, 100, 0, 1000)","(0, 1000)",,,,,,,,,,,,,,,,,,,,,,,,0.006862000020646519 -25,taxcalc/tests/test_calcfunctions.py::test_LumpSumTax[test_tuple3-expected_value3],,passed,0.17412400001148853,"(0, 2, 1, 100, 200, 1000)","(200, 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-141,taxcalc/tests/test_parameters.py::test_params_class[revision8-raise],,passed,10.589551999999003,,,{'str_param': {2004: [9]}},raise,,,,,,,,,,,,,,,,,,,,,,0.27598599996281337 -142,taxcalc/tests/test_parameters.py::test_params_class[revision9-noerror],,passed,12.414357000011478,,,{'str_param': {2004: 'nonlinear'}},noerror,,,,,,,,,,,,,,,,,,,,,,0.14962500000592627 -143,taxcalc/tests/test_parameters.py::test_params_class[revision10-error],,passed,10.382736999986264,,,{'str_param': {2004: 'unknownvalue'}},error,,,,,,,,,,,,,,,,,,,,,,0.26450600000771374 -144,taxcalc/tests/test_parameters.py::test_params_class[revision11-raise],,passed,10.91504700002588,,,{'str_param': {2004: ['nonlinear']}},raise,,,,,,,,,,,,,,,,,,,,,,0.5289040000207024 -145,taxcalc/tests/test_parameters.py::test_params_class[revision12-raise],,passed,10.775918000035745,,,{'real_param': {2004: 'linear'}},raise,,,,,,,,,,,,,,,,,,,,,,0.47628600003690913 -146,taxcalc/tests/test_parameters.py::test_params_class[revision13-raise],,passed,13.135908999970525,,,"{'real_param': {2004: [0.2, 0.3]}}",raise,,,,,,,,,,,,,,,,,,,,,,1.4168999999810694 -147,taxcalc/tests/test_parameters.py::test_params_class[revision14-raise],,passed,11.742886999968505,,,{'real_param-indexed': {2004: True}},raise,,,,,,,,,,,,,,,,,,,,,,0.5443929999273696 -148,taxcalc/tests/test_parameters.py::test_params_class[revision15-raise],,passed,8.178616000009242,,,{'unknown_param-indexed': {2004: False}},raise,,,,,,,,,,,,,,,,,,,,,,0.437066000017694 -149,taxcalc/tests/test_parameters.py::test_json_file_contents[consumption.json],,passed,178.4727509999584,,,,,consumption.json,,,,,,,,,,,,,,,,,,,,,2.0651349999525337 -150,taxcalc/tests/test_parameters.py::test_json_file_contents[policy_current_law.json],,passed,108637.030482,,,,,policy_current_law.json,,,,,,,,,,,,,,,,,,,,,4965.389421 -151,taxcalc/tests/test_parameters.py::test_json_file_contents[growdiff.json],,passed,689.0932929999849,,,,,growdiff.json,,,,,,,,,,,,,,,,,,,,,5.611541999940073 -152,taxcalc/tests/test_parameters.py::test_parameters_mentioned[consumption.json-consumption.py],,passed,0.2577489999566751,,,,,,consumption.json,consumption.py,,,,,,,,,,,,,,,,,,,-0.012037000033160383 -153,taxcalc/tests/test_parameters.py::test_parameters_mentioned[policy_current_law.json-calcfunctions.py],,passed,9.058121000009578,,,,,,policy_current_law.json,calcfunctions.py,,,,,,,,,,,,,,,,,,,0.1777040000092711 -154,taxcalc/tests/test_parameters.py::test_parameters_mentioned[growdiff.json-growdiff.py],,passed,0.26356000000760105,,,,,,growdiff.json,growdiff.py,,,,,,,,,,,,,,,,,,,-0.0005050000027040369 -155,taxcalc/tests/test_parameters.py::test_expand_xd_errors,,passed,4.957391999994343,,,,,,,,,,,,,,,,,,,,,,,,,,0.009967999972104735 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0)",6000,,,,,,,,,,,,,,,,,,,,,,,,-0.0012390000279083047 +10,taxcalc/tests/test_calcfunctions.py::test_StdDed[Single 2],,passed,0.17124999999396096,"(0, 1000, [6000, 12000, 6000, 12000, 12000], 44, 0, [1500, 1200, 1500, 1500, 1500], 1000, 1, 0, 0, 0, 2, 0, True, 0)",6000,,,,,,,,,,,,,,,,,,,,,,,,-0.013663000004271453 +11,"taxcalc/tests/test_calcfunctions.py::test_StdDed[Married, Single]",,passed,0.17015900002093076,"(0, 1000, [6000, 12000, 6000, 12000, 12000], 44, 0, [1500, 1200, 1500, 1500, 1500], 1000, 3, 1, 0, 0, 2, 0, True, 0)",0,,,,,,,,,,,,,,,,,,,,,,,,-0.009775999956218528 +12,"taxcalc/tests/test_calcfunctions.py::test_StdDed[Marrid, Single, dep, under earn]",,passed,0.17213300000662457,"(1, 200, [6000, 12000, 6000, 12000, 12000], 44, 0, [1500, 1200, 1500, 1500, 1500], 1000, 3, 0, 0, 0, 2, 0, True, 0)",1000,,,,,,,,,,,,,,,,,,,,,,,,-0.0026120000029550283 +13,"taxcalc/tests/test_calcfunctions.py::test_StdDed[Married, Single, dep, over earn]",,passed,0.17036999997799285,"(1, 1000, [6000, 12000, 6000, 12000, 12000], 44, 0, [1500, 1200, 1500, 1500, 1500], 1000, 3, 0, 0, 0, 2, 0, True, 0)",1350,,,,,,,,,,,,,,,,,,,,,,,,-0.011568000047645854 +14,taxcalc/tests/test_calcfunctions.py::test_EI_PayrollTax[case 1],,passed,0.24134299999900577,"(120000, 10000, 15000, 100, 2000, 0.12, 0.03, 0, 99999999999, 400, 0, 0, 0, 0, 0, 0, None, None, None, None, None, None, None, None, None, None, None)","(0, 4065, 4065, 0, 0, 3252, 25000, 10000, 15000, 10100, 17000)",,,,,,,,,,,,,,,,,,,,,,,,-0.012779000002183238 +15,taxcalc/tests/test_calcfunctions.py::test_EI_PayrollTax[case 2],,passed,0.21805899999094436,"(120000, 10000, 15000, 100, 2000, 0.12, 0.03, 0, 99999999999, 400, 2000, 0, 10000, 0, 0, 3000, None, None, None, None, None, None, None, None, None, None, None)","(15000, 6146.25, 4065, 2081.25, 1040.625, 4917, 38959.375, 21167.5, 17791.875, 21380, 19820)",,,,,,,,,,,,,,,,,,,,,,,,-0.006028000001379041 +16,taxcalc/tests/test_calcfunctions.py::test_EI_PayrollTax[case 3],,passed,0.21671599998285274,"(120000, 150000, 15000, 100, 2000, 0.12, 0.03, 0, 99999999999, 400, 2000, 0, 10000, 0, 0, 3000, None, None, None, None, None, None, None, None, None, None, None)","(15000, 22202.25, 21453, 749.25, 374.625, 16773, 179625.375, 161833.5, 17791.875, 161380, 19820)",,,,,,,,,,,,,,,,,,,,,,,,-0.025955000012345353 +17,taxcalc/tests/test_calcfunctions.py::test_EI_PayrollTax[case 4],,passed,0.21471200000178214,"(120000, 500000, 15000, 100, 2000, 0.12, 0.03, 0, 400000, 400, 2000, 0, 10000, 0, 0, 3000, None, None, None, None, None, None, None, None, None, None, None)","(15000, 46067.85, 31953, 749.25, 374.625, 30138.6, 529625.375, 511833.5, 17791.875, 511380, 19820)",,,,,,,,,,,,,,,,,,,,,,,,-0.00988600001505796 +18,taxcalc/tests/test_calcfunctions.py::test_EI_PayrollTax[case 5],,passed,0.21365099999570702,"(120000, 10000, 15000, 100, 2000, 0.12, 0.03, 0, 99999999999, 400, 300, 0, 0, 0, 0, 0, None, None, None, None, None, None, None, None, None, None, None)","(300, 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-189,taxcalc/tests/test_policy.py::test_reform_with_removed_parameter,,passed,3960.8880029999796,,,,,,,,,,,,,,,,,,,,,,,,,,7.091397000010602 -190,taxcalc/tests/test_policy.py::test_reform_with_out_of_range_error,,passed,1909.071042999983,,,,,,,,,,,,,,,,,,,,,,,,,,-50.580490000072814 -191,taxcalc/tests/test_policy.py::test_reform_with_warning,,passed,2085.90743000002,,,,,,,,,,,,,,,,,,,,,,,,,,-13.201936999962527 -192,taxcalc/tests/test_policy.py::test_reform_with_scalar_vector_errors,,passed,6831.391929999995,,,,,,,,,,,,,,,,,,,,,,,,,,-15.944665000006353 -193,taxcalc/tests/test_policy.py::test_index_offset_reform,,passed,8381.789118999961,,,,,,,,,,,,,,,,,,,,,,,,,,5.198125999924741 -194,taxcalc/tests/test_policy.py::test_cpi_offset_affect_on_prior_years,,passed,6215.2408499999865,,,,,,,,,,,,,,,,,,,,,,,,,,-50.87572900004034 -195,taxcalc/tests/test_policy.py::test_cpi_offset_on_reverting_params,,passed,9209.351596000033,,,,,,,,,,,,,,,,,,,,,,,,,,-10.883589000059146 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+196,taxcalc/tests/test_policy.py::test_raise_errors_regression,,passed,1994.147403999989,,,,,,,,,,,,,,,,,,,,,,,,,,-5.1613640000030045 +197,taxcalc/tests/test_policy.py::TestAdjust::test_simple_adj,>,passed,5337.859665999986,,,,,,,,,,,,,,,,,,,,,,,,,,38.92698299995391 +198,taxcalc/tests/test_policy.py::TestAdjust::test_adj_without_index_1,>,passed,5648.955270000044,,,,,,,,,,,,,,,,,,,,,,,,,,-90.77070799998 +199,taxcalc/tests/test_policy.py::TestAdjust::test_adj_without_index_2,>,passed,5632.829136999988,,,,,,,,,,,,,,,,,,,,,,,,,,-83.42145900002106 +200,taxcalc/tests/test_policy.py::TestAdjust::test_activate_index,>,passed,5524.364030000015,,,,,,,,,,,,,,,,,,,,,,,,,,-187.08699600000546 +201,taxcalc/tests/test_policy.py::TestAdjust::test_apply_cpi_offset,>,passed,9767.032943000004,,,,,,,,,,,,,,,,,,,,,,,,,,-220.74168899996403 +202,taxcalc/tests/test_policy.py::TestAdjust::test_multiple_cpi_swaps,>,passed,4620.013771999993,,,,,,,,,,,,,,,,,,,,,,,,,,-78.26451100004306 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+209,taxcalc/tests/test_records.py::test_correct_Records_instantiation,,passed,390.3487339999856,,,,,,,,,,,,,,,,,,,,,,,,,,6.909336000035182 +210,taxcalc/tests/test_records.py::test_read_cps_data,,passed,621.0226059999968,,,,,,,,,,,,,,,,,,,,,,,,,,3.3156719999851703 +211,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,e00200,e00200p,e00200s\n1, 2, 200000, 200000, 0.03\n]",,passed,405.1079299999856,,,,,,,,,,,,"RECID,MARS,e00200,e00200p,e00200s 1, 2, 200000, 200000, 0.03 -",,,,,,,,,,,,,,-10.084124999934886 -212,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,e00900,e00900p,e00900s\n1, 2, 200000, 200000, 0.03\n]",,passed,403.82186800002273,,,,,,,,,,,,"RECID,MARS,e00900,e00900p,e00900s +",,,,,,,,,,,,,,-0.6169710001131534 +212,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,e00900,e00900p,e00900s\n1, 2, 200000, 200000, 0.03\n]",,passed,402.42404999997916,,,,,,,,,,,,"RECID,MARS,e00900,e00900p,e00900s 1, 2, 200000, 200000, 0.03 -",,,,,,,,,,,,,,-7.650618000070551 -213,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,e02100,e02100p,e02100s\n1, 2, 200000, 200000, 0.03\n]",,passed,401.1134999999513,,,,,,,,,,,,"RECID,MARS,e02100,e02100p,e02100s +",,,,,,,,,,,,,,-1.3978180000435714 +213,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,e02100,e02100p,e02100s\n1, 2, 200000, 200000, 0.03\n]",,passed,402.85212100002354,,,,,,,,,,,,"RECID,MARS,e02100,e02100p,e02100s 1, 2, 200000, 200000, 0.03 -",,,,,,,,,,,,,,-20.42751099997986 -214,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,e00200,e00200p,e00200s\n1, 4, 200000, 100000, 100000\n]",,passed,405.62963800005036,,,,,,,,,,,,"RECID,MARS,e00200,e00200p,e00200s +",,,,,,,,,,,,,,1.7386210000722713 +214,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,e00200,e00200p,e00200s\n1, 4, 200000, 100000, 100000\n]",,passed,398.1418010000084,,,,,,,,,,,,"RECID,MARS,e00200,e00200p,e00200s 1, 4, 200000, 100000, 100000 -",,,,,,,,,,,,,,-7.743949999849065 -215,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,e00900,e00900p,e00900s\n1, 4, 200000, 100000, 100000\n]",,passed,394.0204419999418,,,,,,,,,,,,"RECID,MARS,e00900,e00900p,e00900s +",,,,,,,,,,,,,,-7.4878370000420205 +215,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,e00900,e00900p,e00900s\n1, 4, 200000, 100000, 100000\n]",,passed,402.4517820000142,,,,,,,,,,,,"RECID,MARS,e00900,e00900p,e00900s 1, 4, 200000, 100000, 100000 -",,,,,,,,,,,,,,-18.32244400009131 -216,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,e02100,e02100p,e02100s\n1, 4, 200000, 100000, 100000\n]",,passed,397.4099040000283,,,,,,,,,,,,"RECID,MARS,e02100,e02100p,e02100s +",,,,,,,,,,,,,,8.431340000072396 +216,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,e02100,e02100p,e02100s\n1, 4, 200000, 100000, 100000\n]",,passed,400.2194569999915,,,,,,,,,,,,"RECID,MARS,e02100,e02100p,e02100s 1, 4, 200000, 100000, 100000 -",,,,,,,,,,,,,,-17.54436400005943 -217,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,k1bx14s\n1, 4, 0.03\n]",,passed,402.9432579999366,,,,,,,,,,,,"RECID,MARS,k1bx14s +",,,,,,,,,,,,,,2.8095529999632163 +217,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,k1bx14s\n1, 4, 0.03\n]",,passed,402.45173200003137,,,,,,,,,,,,"RECID,MARS,k1bx14s 1, 4, 0.03 -",,,,,,,,,,,,,,-9.355754000125728 -218,"taxcalc/tests/test_records.py::test_read_data[RxCID,MARS\n1, 2\n]",,passed,1.8320280000807543,,,,,,,,,,,,"RxCID,MARS +",,,,,,,,,,,,,,-0.49152599990520685 +218,"taxcalc/tests/test_records.py::test_read_data[RxCID,MARS\n1, 2\n]",,passed,1.5586249999728352,,,,,,,,,,,,"RxCID,MARS 1, 2 -",,,,,,,,,,,,,,0.034028000072794384 -219,"taxcalc/tests/test_records.py::test_read_data[RECID,e00300\n1, 456789\n]",,passed,1.5007219999461086,,,,,,,,,,,,"RECID,e00300 +",,,,,,,,,,,,,,-0.2734030001079193 +219,"taxcalc/tests/test_records.py::test_read_data[RECID,e00300\n1, 456789\n]",,passed,1.3693210000269573,,,,,,,,,,,,"RECID,e00300 1, 456789 -",,,,,,,,,,,,,,0.08063099994615186 -220,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS\n1, 6\n]",,passed,395.1372959999162,,,,,,,,,,,,"RECID,MARS +",,,,,,,,,,,,,,-0.13140099991915122 +220,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS\n1, 6\n]",,passed,400.4286580000098,,,,,,,,,,,,"RECID,MARS 1, 6 -",,,,,,,,,,,,,,-15.571635000014794 -221,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,EIC\n1, 5, 4\n]",,passed,404.09305699995457,,,,,,,,,,,,"RECID,MARS,EIC +",,,,,,,,,,,,,,5.2913620000936135 +221,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,EIC\n1, 5, 4\n]",,passed,401.4784610000106,,,,,,,,,,,,"RECID,MARS,EIC 1, 5, 4 -",,,,,,,,,,,,,,-6.722374000105447 -222,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,e00600,e00650\n1, 1, 8, 9\n]",,passed,403.709823999975,,,,,,,,,,,,"RECID,MARS,e00600,e00650 +",,,,,,,,,,,,,,-2.6145959999439583 +222,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,e00600,e00650\n1, 1, 8, 9\n]",,passed,400.95404100003407,,,,,,,,,,,,"RECID,MARS,e00600,e00650 1, 1, 8, 9 -",,,,,,,,,,,,,,-8.540576999962468 -223,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,e01500,e01700\n1, 1, 6, 7\n]",,passed,400.4191730000457,,,,,,,,,,,,"RECID,MARS,e01500,e01700 +",,,,,,,,,,,,,,-2.7557829999409478 +223,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,e01500,e01700\n1, 1, 6, 7\n]",,passed,405.19038399997953,,,,,,,,,,,,"RECID,MARS,e01500,e01700 1, 1, 6, 7 -",,,,,,,,,,,,,,-12.51378599999947 -224,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,PT_SSTB_income\n1, 1, 2\n]",,passed,397.98758900008124,,,,,,,,,,,,"RECID,MARS,PT_SSTB_income +",,,,,,,,,,,,,,4.771210999933828 +224,"taxcalc/tests/test_records.py::test_read_data[RECID,MARS,PT_SSTB_income\n1, 1, 2\n]",,passed,401.3542189999839,,,,,,,,,,,,"RECID,MARS,PT_SSTB_income 1, 1, 2 -",,,,,,,,,,,,,,-16.61983899987257 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+276,taxcalc/tests/test_utils.py::test_table_columns_labels,,passed,0.11097800006609759,,,,,,,,,,,,,,,,,,,,,,,,,,0.004100000069229295 From b4ed00df4ea24044dcbb9956b03fc4ae7cc50674 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Sat, 24 Feb 2024 10:38:17 -0500 Subject: [PATCH 09/16] update benchmark stats --- taxcalc/tests/test_stats_benchmark.csv | 34 ++++++++++++++++++++++++++ 1 file changed, 34 insertions(+) diff --git a/taxcalc/tests/test_stats_benchmark.csv b/taxcalc/tests/test_stats_benchmark.csv index 31dd07908..f3e7e8e0e 100644 --- a/taxcalc/tests/test_stats_benchmark.csv +++ b/taxcalc/tests/test_stats_benchmark.csv @@ -302,6 +302,7 @@ surtax RECID FLPDYR +<<<<<<< HEAD ",False,8.0,-66.3790539999809 247,taxcalc/tests/test_taxcalcio.py::test_output_options,,passed,22105.670846000066,,,,,,,,,,,,,,,,,,,,,,,,,,-116.19489099996281 248,taxcalc/tests/test_taxcalcio.py::test_write_doc_file,,passed,12772.544447999962,,,,,,,,,,,,,,,,,,,,,,,,,,-122.62910600008945 @@ -333,3 +334,36 @@ 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100644 --- a/docs/index.md +++ b/docs/index.md @@ -12,6 +12,12 @@ via: conda install -c conda-forge taxcalc ``` +or with [PyPI](https://pypi.org/project/taxcalc/) via: + +``` +pip install taxcalc +``` + When using [micro data](https://github.com/PSLmodels/taxdata#about-taxdata-repository) that represent the USA population, Tax-Calculator can estimate the aggregate @@ -59,6 +65,12 @@ If you are already using Tax-Calculator, upgrade using the following command: conda update -c conda-forge taxcalc ``` +or + +``` +pip install -U taxcalc +``` + If you're a new user, read {doc}`usage/starting`. ## Disclaimer From 142f3f35dbf83d84eab8e220027b7cf1f2ed26c0 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Sat, 24 Feb 2024 11:24:33 -0500 Subject: [PATCH 11/16] fix conda forge install instructions --- docs/index.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/index.md b/docs/index.md index c46af9416..41b2140cd 100644 --- a/docs/index.md +++ b/docs/index.md @@ -9,7 +9,7 @@ You can install it with [Anaconda](https://www.anaconda.com/products/individual) via: ``` -conda install -c conda-forge taxcalc +conda update taxcalc ``` or with [PyPI](https://pypi.org/project/taxcalc/) via: @@ -62,7 +62,7 @@ The cross-model validation work with NBER's TAXSIM-27 model is described If you are already using Tax-Calculator, upgrade using the following command: ``` -conda update -c conda-forge taxcalc +conda update conda-forge::taxcalc ``` or From a5b88642adaddbc047c6416e0a58c5b8620c4131 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Sun, 25 Feb 2024 18:16:25 -0500 Subject: [PATCH 12/16] update recipes to pip install --- docs/recipes/recipe00.ipynb | 973 ++++++++++------------------- docs/recipes/recipe01.ipynb | 76 ++- docs/recipes/recipe02.ipynb | 601 +++++++++--------- docs/recipes/recipe03.ipynb | 61 +- docs/recipes/recipe04.ipynb | 43 +- docs/recipes/recipe04_pandas.ipynb | 65 +- docs/recipes/recipe05.ipynb | 70 ++- docs/recipes/recipe06.ipynb | 35 +- 8 files changed, 817 insertions(+), 1107 deletions(-) diff --git a/docs/recipes/recipe00.ipynb b/docs/recipes/recipe00.ipynb index 142068e19..e894967c1 100644 --- a/docs/recipes/recipe00.ipynb +++ b/docs/recipes/recipe00.ipynb @@ -14,7 +14,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": { "tags": [ "remove-cell" @@ -22,23 +22,15 @@ }, "outputs": [], "source": [ - "# Install conda and taxcalc if in Google Colab.\n", - "# the `&> /dev/null` silences output except for errors\n", + "# Install taxcalc if not already installed\n", "import sys\n", - "if 'google.colab' in sys.modules and 'taxbrain' not in sys.modules:\n", - " !wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh &> /dev/null\n", - " !bash Miniconda3-latest-Linux-x86_64.sh -bfp /usr/local &> /dev/null\n", - " # Append path to be able to run packages installed with conda\n", - " # This must correspond to the conda Python version, which may differ from\n", - " # the base Colab Python installation.\n", - " sys.path.append('/usr/local/lib/python3.8/site-packages')\n", - " # Install taxbrain\n", - " !yes | conda install -c conda-forge taxcalc &> /dev/null" + "if 'taxcalc' not in sys.modules:\n", + " %pip install taxcalc &> /dev/null # dev/null suppresses output" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": { "hide-output": false }, @@ -69,7 +61,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": { "hide-output": false }, @@ -87,7 +79,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": { "hide-output": false }, @@ -108,7 +100,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": { "hide-output": false }, @@ -126,7 +118,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": { "hide-output": false }, @@ -146,7 +138,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": { "hide-output": false }, @@ -165,7 +157,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": { "hide-output": false }, @@ -186,7 +178,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": { "hide-output": false }, @@ -210,7 +202,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": { "hide-output": false }, @@ -219,8 +211,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "2020_CLP_itax_rev($B)= 1321.487\n", - "2020_REF_itax_rev($B)= 1329.959\n" + "2020_CLP_itax_rev($B)= 764.170\n", + "2020_REF_itax_rev($B)= 766.855\n" ] } ], @@ -238,7 +230,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": { "hide-output": false }, @@ -280,7 +272,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": { "hide-output": false }, @@ -288,11 +280,10 @@ { "data": { 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    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"1052\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js\": \"YF85VygJKMVnHE+lLv2AM93Vbstr0yo2TbIu5v8se5Rq3UQAUmcuh4aaJwNlpKwa\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.1.min.js\": \"KKuas3gevv3PvrlkyCMzffFeaMq5we/a2QsP5AUoS3mJ0jmaCL7jirFJN3GoE/lM\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.1.min.js\": \"MK/uFc3YT18pkvvXRl66tTHjP0/dxoSH2e/eiNMFIguKlun2+WVqaPTWmUy/zvh4\"};\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n if (url in hashes) {\n element.crossOrigin = \"anonymous\";\n element.integrity = \"sha384-\" + hashes[url];\n }\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n \n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.1.min.js\"];\n var css_urls = [];\n \n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n if (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n var cell = $(document.getElementById(\"1052\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" + "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = document.createElement(\"script\");\n node.appendChild(script);\n }\n\n /**\n * Handle when an output is cleared or removed\n */\n function handleClearOutput(event, handle) {\n const cell = handle.cell;\n\n const id = cell.output_area._bokeh_element_id;\n const server_id = cell.output_area._bokeh_server_id;\n // Clean up Bokeh references\n if (id != null && id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n\n if (server_id !== undefined) {\n // Clean up Bokeh references\n const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n cell.notebook.kernel.execute(cmd_clean, {\n iopub: {\n output: function(msg) {\n const id = msg.content.text.trim();\n if (id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n }\n\n function register_renderer(events, OutputArea) {\n\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n const toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[toinsert.length - 1]);\n element.append(toinsert);\n return toinsert\n }\n\n /* Handle when an output is cleared or removed */\n events.on('clear_output.CodeCell', handleClearOutput);\n events.on('delete.Cell', handleClearOutput);\n\n /* Handle when a new output is added */\n events.on('output_added.OutputArea', handleAddOutput);\n\n /**\n * Register the mime type and append_mime function with output_area\n */\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n /* Is output safe? */\n safe: true,\n /* Index of renderer in `output_area.display_order` */\n index: 0\n });\n }\n\n // register the mime type if in Jupyter Notebook environment and previously unregistered\n if (root.Jupyter !== undefined) {\n const events = require('base/js/events');\n const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n }\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
    • \\n\"+\n \"
  • use INLINE resources instead, as so:
    • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n const el = document.getElementById(\"1055\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\nif (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(\"1055\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));", + "application/vnd.bokehjs_load.v0+json": "" }, "metadata": {}, "output_type": "display_data" @@ -607,12 +301,7 @@ "data": { "text/html": [ "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n" + "
\n" ] }, "metadata": {}, @@ -620,34 +309,7 @@ }, { "data": { - "application/javascript": [ - "(function(root) {\n", - " function embed_document(root) {\n", - " \n", - " var docs_json = {\"273ee692-dd1c-49e7-b5f5-b2d375de677c\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1013\"}],\"center\":[{\"id\":\"1016\"},{\"id\":\"1020\"}],\"height\":500,\"left\":[{\"id\":\"1017\"}],\"renderers\":[{\"id\":\"1038\"},{\"id\":\"1043\"},{\"id\":\"1048\"}],\"title\":{\"id\":\"1003\"},\"toolbar\":{\"id\":\"1028\"},\"width\":850,\"x_range\":{\"id\":\"1005\"},\"x_scale\":{\"id\":\"1009\"},\"y_range\":{\"id\":\"1007\"},\"y_scale\":{\"id\":\"1011\"}},\"id\":\"1002\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1062\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"line_color\":\"blue\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1036\",\"type\":\"Line\"},{\"attributes\":{\"axis\":{\"id\":\"1013\"},\"ticker\":null},\"id\":\"1016\",\"type\":\"Grid\"},{\"attributes\":{\"data\":{\"x\":[5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99],\"y\":{\"__ndarray__\":\"AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAZsMK9GG6Dj8AAAAAAAAAAAAAAAAAAAAAwaAslbVZWz98k+9PZJ+ZP1lLdc79sMQ/AFQM1vhZzD/S5JYICr3LP6OcJRWibc4/MMLGq/39zT9PWf3IGiLNP+a9nJK6c8w/QW5C1v/kyj+ggBUyRufKP6HmXDF7z8w/RmgVczH1xD8sY032SojIP0J47uXCJ8g/up7e89JpyD8ESmFP+yzHP6p7b/9Pv8Y/GDYcNT34xD91d+We0W3FP6Bk1I3IYcc/je35QGKmxD9DixqhatfFP5ALuWCpLcc/qeKR8yiAxT8GFDe7thLJP1Jj+YYEWsU/oOLbLL/ExT/q4IBbYf3FPz5esoyR5cU/TdWoId+/xD96YOm6Y33GP/ZjL7RlEcg/Ynbw0F0Tyz9gaumYMyTJPzMVPWJ3K8g/LfE3sXjFxj9H2IlkqKDHP38VyjAZcsw/J7mamdKYyT9i3DuZnkbJPxOhF0W+rck/gE43fHuLyz9D26FjrHjOP9jfroXRss0/m0N7bJYBzj9igyjoZPLNP2MO4/BhatA/Mr5XF2S9zT8cSJNwSh7PP/iXFodpw88/EWXazA0nzz9tVJGx63vPPyioGj+c/s4/3zYRM4Njzj+xl7hjYwrPPxLeL3dIStA/JsxZEljMzz8bjVcNpFrQP/5ckoCsENA/3ZJfnBSC0D/GWgTT4tvPPwL/4TOPUNA/17rWKlI30D81LJ3HFcfOP6iPOproxc8/pY3YQHM9zj/E4PBLK5/PP/wTY9RxXNA/6L+xOai70j+NZZ+Kis/TP1TxioB+8NM/RMTIEK901D9T/4e+OcTUPyOR3Wo2b9Q/9K+2aXDS1D/er6Vfem7TP2mp64dg5tM/9KDyBw7g0z+6zvfIFLrSP4KydgzJ3tA/MTTD6CBnzT8HGrTjbvLDP+rKWgaGgK0/jqhK1Dgltb9aJLCaZG/9vw==\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[95]}},\"selected\":{\"id\":\"1061\"},\"selection_policy\":{\"id\":\"1060\"}},\"id\":\"1035\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1064\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1009\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"Baseline 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{ @@ -675,7 +337,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": { "hide-output": false }, @@ -707,27 +369,27 @@ " \n", " \n", " Returns (#m)\n", - " 205.440\n", + " 204.480\n", " \n", " \n", " AGI ($b)\n", - " 11475.571\n", + " 11573.238\n", " \n", " \n", " Itemizers (#m)\n", - " 30.950\n", + " 27.730\n", " \n", " \n", " Itemized Deduction ($b)\n", - " 824.019\n", + " 752.189\n", " \n", " \n", " Standard Deduction Filers (#m)\n", - " 174.490\n", + " 176.750\n", " \n", " \n", " Standard Deduction ($b)\n", - " 3188.464\n", + " 3075.468\n", " \n", " \n", " Personal Exemption ($b)\n", @@ -735,35 +397,35 @@ " \n", " \n", " Taxable Income ($b)\n", - " 8513.062\n", + " 8617.397\n", " \n", " \n", " Regular Tax ($b)\n", - " 1505.162\n", + " 1505.274\n", " \n", " \n", " AMT Income ($b)\n", - " 10856.448\n", + " 11012.668\n", " \n", " \n", " AMT Liability ($b)\n", - " 0.923\n", + " 0.568\n", " \n", " \n", " AMT Filers (#m)\n", - " 0.420\n", + " 0.090\n", " \n", " \n", " Tax before Credits ($b)\n", - " 1506.085\n", + " 1505.841\n", " \n", " \n", " Refundable Credits ($b)\n", - " 103.539\n", + " 654.861\n", " \n", " \n", " Nonrefundable Credits ($b)\n", - " 94.954\n", + " 99.385\n", " \n", " \n", " Reform Surtaxes ($b)\n", @@ -771,27 +433,27 @@ " \n", " \n", " Other Taxes ($b)\n", - " 13.895\n", + " 12.575\n", " \n", " \n", " Ind Income Tax ($b)\n", - " 1321.487\n", + " 764.170\n", " \n", " \n", " Payroll Taxes ($b)\n", - " 1186.745\n", + " 1217.941\n", " \n", " \n", " Combined Liability ($b)\n", - " 2508.233\n", + " 1982.111\n", " \n", " \n", " With Income Tax <= 0 (#m)\n", - " 101.340\n", + " 135.170\n", " \n", " \n", " With Combined Tax <= 0 (#m)\n", - " 69.360\n", + " 98.150\n", " \n", " \n", " UBI Benefits ($b)\n", @@ -799,11 +461,11 @@ " \n", " \n", " Total Benefits, Consumption Value ($b)\n", - " 3650.123\n", + " 3617.042\n", " \n", " \n", " Total Benefits Cost ($b)\n", - " 3650.123\n", + " 3617.042\n", " \n", " \n", "\n", @@ -811,34 +473,34 @@ ], "text/plain": [ " 2020\n", - "Returns (#m) 205.440\n", - "AGI ($b) 11475.571\n", - "Itemizers (#m) 30.950\n", - "Itemized Deduction ($b) 824.019\n", - "Standard Deduction Filers (#m) 174.490\n", - "Standard Deduction ($b) 3188.464\n", + "Returns (#m) 204.480\n", + "AGI ($b) 11573.238\n", + "Itemizers (#m) 27.730\n", + "Itemized Deduction ($b) 752.189\n", + "Standard Deduction Filers (#m) 176.750\n", + "Standard Deduction ($b) 3075.468\n", "Personal Exemption ($b) 0.000\n", - "Taxable Income ($b) 8513.062\n", - "Regular Tax ($b) 1505.162\n", - "AMT Income ($b) 10856.448\n", - "AMT Liability ($b) 0.923\n", - "AMT Filers (#m) 0.420\n", - "Tax before Credits ($b) 1506.085\n", - "Refundable Credits ($b) 103.539\n", - "Nonrefundable Credits ($b) 94.954\n", + "Taxable Income ($b) 8617.397\n", + "Regular Tax ($b) 1505.274\n", + "AMT Income ($b) 11012.668\n", + "AMT Liability ($b) 0.568\n", + "AMT Filers (#m) 0.090\n", + "Tax before Credits ($b) 1505.841\n", + "Refundable Credits ($b) 654.861\n", + "Nonrefundable Credits ($b) 99.385\n", "Reform Surtaxes ($b) 0.000\n", - "Other Taxes ($b) 13.895\n", - "Ind Income Tax ($b) 1321.487\n", - "Payroll Taxes ($b) 1186.745\n", - "Combined Liability ($b) 2508.233\n", - "With Income Tax <= 0 (#m) 101.340\n", - "With Combined Tax <= 0 (#m) 69.360\n", + "Other Taxes ($b) 12.575\n", + "Ind Income Tax ($b) 764.170\n", + "Payroll Taxes ($b) 1217.941\n", + "Combined Liability ($b) 1982.111\n", + "With Income Tax <= 0 (#m) 135.170\n", + "With Combined Tax <= 0 (#m) 98.150\n", "UBI Benefits ($b) 0.000\n", - "Total Benefits, Consumption Value ($b) 3650.123\n", - "Total Benefits Cost ($b) 3650.123" + "Total Benefits, Consumption Value ($b) 3617.042\n", + "Total Benefits Cost ($b) 3617.042" ] }, - "execution_count": 13, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -856,7 +518,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": { "hide-output": false }, @@ -888,63 +550,63 @@ " \n", " \n", " Returns (#m)\n", - " 205.440\n", + " 204.480\n", " \n", " \n", " AGI ($b)\n", - " 11475.571\n", + " 11573.238\n", " \n", " \n", " Itemizers (#m)\n", - " 30.860\n", + " 27.660\n", " \n", " \n", " Itemized Deduction ($b)\n", - " 821.244\n", + " 749.755\n", " \n", " \n", " Standard Deduction Filers (#m)\n", - " 174.580\n", + " 176.820\n", " \n", " \n", " Standard Deduction ($b)\n", - " 3190.011\n", + " 3076.756\n", " \n", " \n", " Personal Exemption ($b)\n", - " 387.209\n", + " 375.177\n", " \n", " \n", " Taxable Income ($b)\n", - " 8274.064\n", + " 8369.678\n", " \n", " \n", " Regular Tax ($b)\n", - " 1511.260\n", + " 1505.595\n", " \n", " \n", " AMT Income ($b)\n", - " 10859.047\n", + " 11014.938\n", " \n", " \n", " AMT Liability ($b)\n", - " 0.978\n", + " 0.585\n", " \n", " \n", " AMT Filers (#m)\n", - " 0.450\n", + " 0.090\n", " \n", " \n", " Tax before Credits ($b)\n", - " 1512.239\n", + " 1506.180\n", " \n", " \n", " Refundable Credits ($b)\n", - " 106.802\n", + " 658.196\n", " \n", " \n", " Nonrefundable Credits ($b)\n", - " 89.372\n", + " 93.705\n", " \n", " \n", " Reform Surtaxes ($b)\n", @@ -952,27 +614,27 @@ " \n", " \n", " Other Taxes ($b)\n", - " 13.895\n", + " 12.575\n", " \n", " \n", " Ind Income Tax ($b)\n", - " 1329.959\n", + " 766.855\n", " \n", " \n", " Payroll Taxes ($b)\n", - " 1186.745\n", + " 1217.941\n", " \n", " \n", " Combined Liability ($b)\n", - " 2516.705\n", + " 1984.796\n", " \n", " \n", " With Income Tax <= 0 (#m)\n", - " 103.730\n", + " 137.340\n", " \n", " \n", " With Combined Tax <= 0 (#m)\n", - " 69.930\n", + " 98.910\n", " \n", " \n", " UBI Benefits ($b)\n", @@ -980,11 +642,11 @@ " \n", " \n", " Total Benefits, Consumption Value ($b)\n", - " 3650.123\n", + " 3617.042\n", " \n", " \n", " Total Benefits Cost ($b)\n", - " 3650.123\n", + " 3617.042\n", " \n", " \n", "\n", @@ -992,34 +654,34 @@ ], "text/plain": [ " 2020\n", - "Returns (#m) 205.440\n", - "AGI ($b) 11475.571\n", - "Itemizers (#m) 30.860\n", - "Itemized Deduction ($b) 821.244\n", - "Standard Deduction Filers (#m) 174.580\n", - "Standard Deduction ($b) 3190.011\n", - "Personal Exemption ($b) 387.209\n", - "Taxable Income ($b) 8274.064\n", - "Regular Tax ($b) 1511.260\n", - "AMT Income ($b) 10859.047\n", - "AMT Liability ($b) 0.978\n", - "AMT Filers (#m) 0.450\n", - "Tax before Credits ($b) 1512.239\n", - "Refundable Credits ($b) 106.802\n", - "Nonrefundable Credits ($b) 89.372\n", + "Returns (#m) 204.480\n", + "AGI ($b) 11573.238\n", + "Itemizers (#m) 27.660\n", + "Itemized Deduction ($b) 749.755\n", + "Standard Deduction Filers (#m) 176.820\n", + "Standard Deduction ($b) 3076.756\n", + "Personal Exemption ($b) 375.177\n", + "Taxable Income ($b) 8369.678\n", + "Regular Tax ($b) 1505.595\n", + "AMT Income ($b) 11014.938\n", + "AMT Liability ($b) 0.585\n", + "AMT Filers (#m) 0.090\n", + "Tax before Credits ($b) 1506.180\n", + "Refundable Credits ($b) 658.196\n", + "Nonrefundable Credits ($b) 93.705\n", "Reform Surtaxes ($b) 0.000\n", - "Other Taxes ($b) 13.895\n", - "Ind Income Tax ($b) 1329.959\n", - "Payroll Taxes ($b) 1186.745\n", - "Combined Liability ($b) 2516.705\n", - "With Income Tax <= 0 (#m) 103.730\n", - "With Combined Tax <= 0 (#m) 69.930\n", + "Other Taxes ($b) 12.575\n", + "Ind Income Tax ($b) 766.855\n", + "Payroll Taxes ($b) 1217.941\n", + "Combined Liability ($b) 1984.796\n", + "With Income Tax <= 0 (#m) 137.340\n", + "With Combined Tax <= 0 (#m) 98.910\n", "UBI Benefits ($b) 0.000\n", - "Total Benefits, Consumption Value ($b) 3650.123\n", - "Total Benefits Cost ($b) 3650.123" + "Total Benefits, Consumption Value ($b) 3617.042\n", + "Total Benefits Cost ($b) 3617.042" ] }, - "execution_count": 14, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1037,7 +699,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": { "hide-output": false }, @@ -1073,175 +735,175 @@ " \n", " \n", " 0-10n\n", - " 0.114430\n", - " 0.000000\n", - " 0.000000\n", - " -8.336880\n", - " -8.336880\n", + " 0.103662\n", + " -0.292423\n", + " -0.292423\n", + " -6.364313\n", + " -6.364313\n", " \n", " \n", " 0-10z\n", - " 8.403193\n", - " 0.000000\n", - " 0.000000\n", - " 0.000000\n", - " 0.000000\n", + " 8.289516\n", + " -17.339037\n", + " -17.339037\n", + " 17.339037\n", + " 17.339037\n", " \n", " \n", " 0-10p\n", - " 12.024905\n", - " -0.658431\n", - " -0.658431\n", - " 39.100850\n", - " 39.100850\n", + " 12.054710\n", + " -25.583473\n", + " -25.583473\n", + " 66.416417\n", + " 66.416417\n", " \n", " \n", " 10-20\n", - " 20.546100\n", - " -8.163146\n", - " -8.462583\n", - " 254.161426\n", - " 254.460863\n", + " 20.448902\n", + " -52.554387\n", + " -52.900799\n", + " 308.444021\n", + " 308.790433\n", " \n", " \n", " 20-30\n", - " 20.544257\n", - " -6.965458\n", - " -8.028696\n", - " 483.759011\n", - " 484.822249\n", + " 20.447972\n", + " -53.636240\n", + " -54.653772\n", + " 542.850180\n", + " 543.867712\n", " \n", " \n", " 30-40\n", - " 20.544358\n", - " 0.378259\n", - " -0.870559\n", - " 662.399548\n", - " 663.648366\n", + " 20.448551\n", + " -46.759061\n", + " -48.021038\n", + " 718.059905\n", + " 719.321882\n", " \n", " \n", " 40-50\n", - " 20.543396\n", - " 6.744895\n", - " 5.119558\n", - " 826.755409\n", - " 828.380745\n", + " 20.448614\n", + " -44.573176\n", + " -46.294368\n", + " 888.228515\n", + " 889.949708\n", " \n", " \n", " 50-60\n", - " 20.544877\n", - " 17.232458\n", - " 14.844037\n", - " 1027.126836\n", - " 1029.515257\n", + " 20.448520\n", + " -39.736886\n", + " -42.405082\n", + " 1100.805232\n", + " 1103.473428\n", " \n", " \n", " 60-70\n", - " 20.544650\n", - " 35.578883\n", - " 32.102435\n", - " 1288.718946\n", - " 1292.195394\n", + " 20.448182\n", + " -30.590266\n", + " -34.290827\n", + " 1381.854900\n", + " 1385.555461\n", " \n", " \n", " 70-80\n", - " 20.544138\n", - " 74.685647\n", - " 70.005515\n", - " 1638.897669\n", - " 1643.577800\n", + " 20.448218\n", + " 2.337068\n", + " -2.517134\n", + " 1742.953419\n", + " 1747.807621\n", " \n", " \n", " 80-90\n", - " 20.544566\n", - " 155.808839\n", - " 148.199487\n", - " 2184.242996\n", - " 2191.852349\n", + " 20.447460\n", + " 85.024868\n", + " 76.807708\n", + " 2292.728158\n", + " 2300.945318\n", " \n", " \n", " 90-100\n", - " 20.544658\n", - " 1046.845328\n", - " 1077.708556\n", - " 4758.309062\n", - " 4727.445834\n", + " 20.449858\n", + " 987.873311\n", + " 1014.344944\n", + " 4737.770572\n", + " 4711.298939\n", " \n", " \n", " ALL\n", - " 205.443528\n", - " 1321.487275\n", - " 1329.959319\n", - " 13155.134872\n", - " 13146.662827\n", + " 204.484164\n", + " 764.170298\n", + " 766.854698\n", + " 13791.086043\n", + " 13788.401642\n", " \n", " \n", " 90-95\n", - " 10.271604\n", - " 170.933865\n", - " 165.558035\n", - " 1491.100907\n", - " 1496.476737\n", + " 10.225611\n", + " 142.001368\n", + " 136.439568\n", + " 1532.001747\n", + " 1537.563546\n", " \n", " \n", " 95-99\n", - " 8.218293\n", - " 332.400614\n", - " 330.837087\n", - " 1841.803092\n", - " 1843.366620\n", + " 8.177219\n", + " 322.467707\n", + " 320.116774\n", + " 1821.899805\n", + " 1824.250737\n", " \n", " \n", " Top 1%\n", - " 2.054761\n", - " 543.510848\n", - " 581.313434\n", - " 1425.405063\n", - " 1387.602477\n", + " 2.047027\n", + " 523.404237\n", + " 557.788601\n", + " 1383.869020\n", + " 1349.484656\n", " \n", " \n", "\n", "" ], "text/plain": [ - " funits(#m) itax1($b) itax2($b) aftertax_inc1($b) \\\n", - "0-10n 0.114430 0.000000 0.000000 -8.336880 \n", - "0-10z 8.403193 0.000000 0.000000 0.000000 \n", - "0-10p 12.024905 -0.658431 -0.658431 39.100850 \n", - "10-20 20.546100 -8.163146 -8.462583 254.161426 \n", - "20-30 20.544257 -6.965458 -8.028696 483.759011 \n", - "30-40 20.544358 0.378259 -0.870559 662.399548 \n", - "40-50 20.543396 6.744895 5.119558 826.755409 \n", - "50-60 20.544877 17.232458 14.844037 1027.126836 \n", - "60-70 20.544650 35.578883 32.102435 1288.718946 \n", - "70-80 20.544138 74.685647 70.005515 1638.897669 \n", - "80-90 20.544566 155.808839 148.199487 2184.242996 \n", - "90-100 20.544658 1046.845328 1077.708556 4758.309062 \n", - "ALL 205.443528 1321.487275 1329.959319 13155.134872 \n", - "90-95 10.271604 170.933865 165.558035 1491.100907 \n", - "95-99 8.218293 332.400614 330.837087 1841.803092 \n", - "Top 1% 2.054761 543.510848 581.313434 1425.405063 \n", + " funits(#m) itax1($b) itax2($b) aftertax_inc1($b) \\\n", + "0-10n 0.103662 -0.292423 -0.292423 -6.364313 \n", + "0-10z 8.289516 -17.339037 -17.339037 17.339037 \n", + "0-10p 12.054710 -25.583473 -25.583473 66.416417 \n", + "10-20 20.448902 -52.554387 -52.900799 308.444021 \n", + "20-30 20.447972 -53.636240 -54.653772 542.850180 \n", + "30-40 20.448551 -46.759061 -48.021038 718.059905 \n", + "40-50 20.448614 -44.573176 -46.294368 888.228515 \n", + "50-60 20.448520 -39.736886 -42.405082 1100.805232 \n", + "60-70 20.448182 -30.590266 -34.290827 1381.854900 \n", + "70-80 20.448218 2.337068 -2.517134 1742.953419 \n", + "80-90 20.447460 85.024868 76.807708 2292.728158 \n", + "90-100 20.449858 987.873311 1014.344944 4737.770572 \n", + "ALL 204.484164 764.170298 766.854698 13791.086043 \n", + "90-95 10.225611 142.001368 136.439568 1532.001747 \n", + "95-99 8.177219 322.467707 320.116774 1821.899805 \n", + "Top 1% 2.047027 523.404237 557.788601 1383.869020 \n", "\n", " aftertax_inc2($b) \n", - "0-10n -8.336880 \n", - "0-10z 0.000000 \n", - "0-10p 39.100850 \n", - "10-20 254.460863 \n", - "20-30 484.822249 \n", - "30-40 663.648366 \n", - "40-50 828.380745 \n", - "50-60 1029.515257 \n", - "60-70 1292.195394 \n", - "70-80 1643.577800 \n", - "80-90 2191.852349 \n", - "90-100 4727.445834 \n", - "ALL 13146.662827 \n", - "90-95 1496.476737 \n", - "95-99 1843.366620 \n", - "Top 1% 1387.602477 " + "0-10n -6.364313 \n", + "0-10z 17.339037 \n", + "0-10p 66.416417 \n", + "10-20 308.790433 \n", + "20-30 543.867712 \n", + "30-40 719.321882 \n", + "40-50 889.949708 \n", + "50-60 1103.473428 \n", + "60-70 1385.555461 \n", + "70-80 1747.807621 \n", + "80-90 2300.945318 \n", + "90-100 4711.298939 \n", + "ALL 13788.401642 \n", + "90-95 1537.563546 \n", + "95-99 1824.250737 \n", + "Top 1% 1349.484656 " ] }, - "execution_count": 15, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1259,7 +921,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": { "hide-output": false }, @@ -1294,115 +956,115 @@ " \n", " \n", " 0-10n\n", - " 0.114430\n", - " 0.000000e+00\n", - " 0.000000e+00\n", + " 0.103662\n", + " 0.000000\n", + " 0.000000\n", " 0.000000\n", " \n", " \n", " 0-10z\n", - " 8.403193\n", - " 0.000000e+00\n", - " 0.000000e+00\n", - " NaN\n", + " 8.289516\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", " \n", " \n", " 0-10p\n", - " 12.024905\n", - " 1.629896e-22\n", - " 1.355434e-20\n", + " 12.054710\n", + " 0.000000\n", + " 0.000000\n", " 0.000000\n", " \n", " \n", " 10-20\n", - " 20.546100\n", - " -2.994368e-01\n", - " -1.457390e+01\n", - " 0.117814\n", + " 20.448902\n", + " -0.346412\n", + " -16.940394\n", + " 0.112310\n", " \n", " \n", " 20-30\n", - " 20.544257\n", - " -1.063238e+00\n", - " -5.175354e+01\n", - " 0.219787\n", + " 20.447972\n", + " -1.017532\n", + " -49.762006\n", + " 0.187443\n", " \n", " \n", " 30-40\n", - " 20.544358\n", - " -1.248819e+00\n", - " -6.078645e+01\n", - " 0.188530\n", + " 20.448551\n", + " -1.261977\n", + " -61.714742\n", + " 0.175748\n", " \n", " \n", " 40-50\n", - " 20.543396\n", - " -1.625336e+00\n", - " -7.911722e+01\n", - " 0.196592\n", + " 20.448614\n", + " -1.721193\n", + " -84.171605\n", + " 0.193778\n", " \n", " \n", " 50-60\n", - " 20.544877\n", - " -2.388421e+00\n", - " -1.162538e+02\n", - " 0.232534\n", + " 20.448520\n", + " -2.668196\n", + " -130.483583\n", + " 0.242386\n", " \n", " \n", " 60-70\n", - " 20.544650\n", - " -3.476448e+00\n", - " -1.692143e+02\n", - " 0.269760\n", + " 20.448182\n", + " -3.700560\n", + " -180.972592\n", + " 0.267797\n", " \n", " \n", " 70-80\n", - " 20.544138\n", - " -4.680132e+00\n", - " -2.278086e+02\n", - " 0.285566\n", + " 20.448218\n", + " -4.854202\n", + " -237.389972\n", + " 0.278504\n", " \n", " \n", " 80-90\n", - " 20.544566\n", - " -7.609353e+00\n", - " -3.703827e+02\n", - " 0.348375\n", + " 20.447460\n", + " -8.217160\n", + " -401.867019\n", + " 0.358401\n", " \n", " \n", " 90-100\n", - " 20.544658\n", - " 3.086323e+01\n", - " 1.502251e+03\n", - " -0.648618\n", + " 20.449858\n", + " 26.471633\n", + " 1294.465375\n", + " -0.558736\n", " \n", " \n", " ALL\n", - " 205.443528\n", - " 8.472045e+00\n", - " 4.123783e+01\n", - " -0.064401\n", + " 204.484164\n", + " 2.684400\n", + " 13.127667\n", + " -0.019465\n", " \n", " \n", " 90-95\n", - " 10.271604\n", - " -5.375830e+00\n", - " -5.233682e+02\n", - " 0.360528\n", + " 10.225611\n", + " -5.561800\n", + " -543.908766\n", + " 0.363041\n", " \n", " \n", " 95-99\n", - " 8.218293\n", - " -1.563528e+00\n", - " -1.902497e+02\n", - " 0.084891\n", + " 8.177219\n", + " -2.350932\n", + " -287.497784\n", + " 0.129037\n", " \n", " \n", " Top 1%\n", - " 2.054761\n", - " 3.780259e+01\n", - " 1.839756e+04\n", - " -2.652059\n", + " 2.047027\n", + " 34.384364\n", + " 16797.217391\n", + " -2.484655\n", " \n", " \n", "\n", @@ -1410,25 +1072,25 @@ ], "text/plain": [ " funits(#m) agg_diff($b) mean_diff($) aftertaxinc_diff(%)\n", - "0-10n 0.114430 0.000000e+00 0.000000e+00 0.000000\n", - "0-10z 8.403193 0.000000e+00 0.000000e+00 NaN\n", - "0-10p 12.024905 1.629896e-22 1.355434e-20 0.000000\n", - "10-20 20.546100 -2.994368e-01 -1.457390e+01 0.117814\n", - "20-30 20.544257 -1.063238e+00 -5.175354e+01 0.219787\n", - "30-40 20.544358 -1.248819e+00 -6.078645e+01 0.188530\n", - "40-50 20.543396 -1.625336e+00 -7.911722e+01 0.196592\n", - "50-60 20.544877 -2.388421e+00 -1.162538e+02 0.232534\n", - "60-70 20.544650 -3.476448e+00 -1.692143e+02 0.269760\n", - "70-80 20.544138 -4.680132e+00 -2.278086e+02 0.285566\n", - "80-90 20.544566 -7.609353e+00 -3.703827e+02 0.348375\n", - "90-100 20.544658 3.086323e+01 1.502251e+03 -0.648618\n", - "ALL 205.443528 8.472045e+00 4.123783e+01 -0.064401\n", - "90-95 10.271604 -5.375830e+00 -5.233682e+02 0.360528\n", - "95-99 8.218293 -1.563528e+00 -1.902497e+02 0.084891\n", - "Top 1% 2.054761 3.780259e+01 1.839756e+04 -2.652059" + "0-10n 0.103662 0.000000 0.000000 0.000000\n", + "0-10z 8.289516 0.000000 0.000000 0.000000\n", + "0-10p 12.054710 0.000000 0.000000 0.000000\n", + "10-20 20.448902 -0.346412 -16.940394 0.112310\n", + "20-30 20.447972 -1.017532 -49.762006 0.187443\n", + "30-40 20.448551 -1.261977 -61.714742 0.175748\n", + "40-50 20.448614 -1.721193 -84.171605 0.193778\n", + "50-60 20.448520 -2.668196 -130.483583 0.242386\n", + "60-70 20.448182 -3.700560 -180.972592 0.267797\n", + "70-80 20.448218 -4.854202 -237.389972 0.278504\n", + "80-90 20.447460 -8.217160 -401.867019 0.358401\n", + "90-100 20.449858 26.471633 1294.465375 -0.558736\n", + "ALL 204.484164 2.684400 13.127667 -0.019465\n", + "90-95 10.225611 -5.561800 -543.908766 0.363041\n", + "95-99 8.177219 -2.350932 -287.497784 0.129037\n", + "Top 1% 2.047027 34.384364 16797.217391 -2.484655" ] }, - "execution_count": 16, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1436,6 +1098,13 @@ "source": [ "diff_extract" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -1459,7 +1128,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.8" + "version": "3.9.13" }, "title": "Basic Recipe: Static Analysis of a Simple Reform" }, diff --git a/docs/recipes/recipe01.ipynb b/docs/recipes/recipe01.ipynb index 27590f221..addfe695e 100644 --- a/docs/recipes/recipe01.ipynb +++ b/docs/recipes/recipe01.ipynb @@ -14,41 +14,49 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 1, "metadata": { "tags": [ "remove-cell" ] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], "source": [ - "# Install conda and taxcalc if in Google Colab.\n", - "# the `&> /dev/null` silences output except for errors\n", + "# Install taxcalc if not already installed\n", "import sys\n", - "if 'google.colab' in sys.modules and 'taxbrain' not in sys.modules:\n", - " !wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh &> /dev/null\n", - " !bash Miniconda3-latest-Linux-x86_64.sh -bfp /usr/local &> /dev/null\n", - " # Append path to be able to run packages installed with conda\n", - " # This must correspond to the conda Python version, which may differ from\n", - " # the base Colab Python installation.\n", - " sys.path.append('/usr/local/lib/python3.8/site-packages')\n", - " # Install taxbrain\n", - " !yes | conda install -c conda-forge taxcalc &> /dev/null" + "if 'taxcalc' not in sys.modules:\n", + " %pip install taxcalc &> /dev/null # dev/null suppresses output" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 2, "metadata": { "hide-output": false }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jason.debacker/Library/Python/3.9/lib/python/site-packages/urllib3/__init__.py:34: NotOpenSSLWarning: urllib3 v2.0 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with 'LibreSSL 2.8.3'. See: https://github.com/urllib3/urllib3/issues/3020\n", + " warnings.warn(\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "2018_REFORM1_iitax_rev($B)= 1490.622\n", - "2018_REFORM2_iitax_rev($B)= 1318.628\n", + "2018_REFORM1_iitax_rev($B)= 1357.959\n", + "2018_REFORM2_iitax_rev($B)= 1191.548\n", "\n" ] } @@ -121,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 3, "metadata": { "hide-output": false }, @@ -134,22 +142,22 @@ "(taxfall is count of funits with cut in income tax in reform 2 vs 1)\n", "(taxrise is count of funits with rise in income tax in reform 2 vs 1)\n", " funits(#m) taxfall(#m) taxrise(#m) agg_diff($b) mean_diff($) aftertax_income_diff(%)\n", - "0-10n 0.106585 0.000000 0.000000 0.000000 0.000000 0.000000\n", - "0-10z 8.200964 0.000000 0.000000 0.000000 0.000000 NaN\n", - "0-10p 11.685544 0.145729 0.017773 -0.010031 -0.858403 0.026886\n", - "10-20 19.993379 6.131286 2.879208 -0.737282 -36.876308 0.307117\n", - "20-30 19.992590 9.819025 2.904122 -1.767789 -88.422187 0.388099\n", - "30-40 19.995314 8.928170 2.495154 -3.420389 -171.059528 0.551945\n", - "40-50 19.993436 10.540007 2.490796 -5.754637 -287.826313 0.746778\n", - "50-60 19.994152 12.663991 2.070555 -8.569910 -428.620835 0.894647\n", - "60-70 19.992890 13.910415 1.784819 -11.604895 -580.451123 0.964668\n", - "70-80 19.994268 15.376689 1.552446 -16.537168 -827.095476 1.080738\n", - "80-90 19.993895 17.040071 1.620336 -26.070610 -1303.928552 1.277742\n", - "90-100 19.993808 18.220631 1.530360 -97.520960 -4877.557973 2.180188\n", - "ALL 199.936825 112.776014 19.345569 -171.993672 -860.240085 1.396031\n", - "90-95 9.996300 9.017015 0.757695 -23.229363 -2323.796032 1.660532\n", - "95-99 7.997983 7.390026 0.586730 -41.609762 -5202.531695 2.400130\n", - "Top 1% 1.999525 1.813590 0.185935 -32.681835 -16344.800972 2.438041\n" + "0-10n 0.099275 0.000000 0.000000 0.000000 0.000000 0.000000\n", + "0-10z 8.084542 0.000000 0.000000 0.000000 0.000000 NaN\n", + "0-10p 11.735976 0.169109 0.011897 -0.011921 -1.015744 0.031171\n", + "10-20 19.921421 6.244056 2.883407 -0.773509 -38.828008 0.322410\n", + "20-30 19.920369 10.151692 2.378508 -1.896750 -95.216620 0.419345\n", + "30-40 19.917881 9.242263 1.994306 -3.502678 -175.855977 0.571117\n", + "40-50 19.923591 11.040202 2.113940 -5.832407 -292.738759 0.767135\n", + "50-60 19.919733 13.189452 2.028448 -8.722775 -437.896167 0.920887\n", + "60-70 19.921081 14.175127 1.733752 -11.955894 -600.162899 1.000052\n", + "70-80 19.921138 15.556599 1.506702 -17.063720 -856.563503 1.126938\n", + "80-90 19.920627 16.985440 1.623547 -26.169065 -1313.666732 1.300501\n", + "90-100 19.920851 18.176315 1.484443 -90.482764 -4542.113487 2.145463\n", + "ALL 199.206484 114.930254 17.758950 -166.411483 -835.371819 1.388568\n", + "90-95 9.960209 8.973904 0.753146 -22.527567 -2261.756334 1.659892\n", + "95-99 7.968375 7.400993 0.540449 -37.453830 -4700.309681 2.287011\n", + "Top 1% 1.992266 1.801418 0.190848 -30.501367 -15309.885606 2.494891\n" ] } ], @@ -183,7 +191,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.8" + "version": "3.9.6" }, "title": "Recipe 1: Directly Comparing Two Reforms" }, diff --git a/docs/recipes/recipe02.ipynb b/docs/recipes/recipe02.ipynb index c8397a372..fda5d9c2a 100644 --- a/docs/recipes/recipe02.ipynb +++ b/docs/recipes/recipe02.ipynb @@ -12,7 +12,20 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "if 'google.colab' in sys.modules:\n", + " !pip install -q condacolab &> /dev/null # dev/null suppresses output\n", + " import condacolab\n", + " condacolab.install()" + ] + }, + { + "cell_type": "code", + "execution_count": null, "metadata": { "tags": [ "remove-cell" @@ -20,24 +33,16 @@ }, "outputs": [], "source": [ - "# Install conda, taxcalc, and behresp if in Google Colab.\n", - "# the `&> /dev/null` silences output except for errors\n", - "import sys\n", - "if 'google.colab' in sys.modules and 'taxbrain' not in sys.modules:\n", - " !wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh &> /dev/null\n", - " !bash Miniconda3-latest-Linux-x86_64.sh -bfp /usr/local &> /dev/null\n", - " # Append path to be able to run packages installed with conda\n", - " # This must correspond to the conda Python version, which may differ from\n", - " # the base Colab Python installation.\n", - " sys.path.append('/usr/local/lib/python3.8/site-packages')\n", - " # Install taxbrain\n", - " !yes | conda install -c conda-forge taxcalc &> /dev/null\n", - " !yes | conda install -c conda-forge behresp &> /dev/null" + "# Install taxcalc if not already installed\n", + "if 'taxcalc' not in sys.modules:\n", + " %pip install taxcalc &> /dev/null # dev/null suppresses output\n", + "if 'behresp' not in sys.modules:\n", + " !yes | conda install conda-forge::behresp #&> /dev/null" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": { "hide-output": false }, @@ -46,9 +51,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "2020_CURRENT_LAW_P__itax_rev($B)= 1321.487\n", - "2020_REFORM_STATIC__itax_rev($B)= 1329.959\n", - "2020_REFORM_DYNAMIC_itax_rev($B)= 1316.667\n" + "2020_CURRENT_LAW_P__itax_rev($B)= 764.170\n", + "2020_REFORM_STATIC__itax_rev($B)= 766.855\n", + "2020_REFORM_DYNAMIC_itax_rev($B)= 755.060\n" ] } ], @@ -109,7 +114,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": { "hide-output": false }, @@ -138,7 +143,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": { "hide-output": false }, @@ -172,39 +177,39 @@ " \n", " \n", " Returns (#m)\n", - " 205.440\n", - " 208.140\n", - " 210.820\n", + " 204.480\n", + " 207.080\n", + " 209.660\n", " \n", " \n", " AGI ($b)\n", - " 11475.571\n", - " 11691.366\n", - " 12219.492\n", + " 11573.238\n", + " 13156.205\n", + " 13723.185\n", " \n", " \n", " Itemizers (#m)\n", - " 30.950\n", - " 29.170\n", - " 30.670\n", + " 27.730\n", + " 32.030\n", + " 31.220\n", " \n", " \n", " Itemized Deduction ($b)\n", - " 824.019\n", - " 760.366\n", - " 809.757\n", + " 752.189\n", + " 880.903\n", + " 882.969\n", " \n", " \n", " Standard Deduction Filers (#m)\n", - " 174.490\n", - " 178.960\n", - " 180.140\n", + " 176.750\n", + " 175.050\n", + " 178.440\n", " \n", " \n", " Standard Deduction ($b)\n", - " 3188.464\n", - " 3289.501\n", - " 3344.937\n", + " 3075.468\n", + " 3066.702\n", + " 3229.758\n", " \n", " \n", " Personal Exemption ($b)\n", @@ -214,51 +219,51 @@ " \n", " \n", " Taxable Income ($b)\n", - " 8513.062\n", - " 8731.100\n", - " 9177.528\n", + " 8617.397\n", + " 10040.159\n", + " 10505.738\n", " \n", " \n", " Regular Tax ($b)\n", - " 1505.162\n", - " 1544.527\n", - " 1635.569\n", + " 1505.274\n", + " 1760.905\n", + " 1864.719\n", " \n", " \n", " AMT Income ($b)\n", - " 10856.448\n", - " 11122.136\n", - " 11611.624\n", + " 11012.668\n", + " 12497.322\n", + " 13059.342\n", " \n", " \n", " AMT Liability ($b)\n", - " 0.923\n", - " 0.883\n", - " 0.902\n", + " 0.568\n", + " 1.811\n", + " 1.322\n", " \n", " \n", " AMT Filers (#m)\n", - " 0.420\n", - " 0.440\n", - " 0.440\n", + " 0.090\n", + " 0.330\n", + " 0.250\n", " \n", " \n", " Tax before Credits ($b)\n", - " 1506.085\n", - " 1545.410\n", - " 1636.472\n", + " 1505.841\n", + " 1762.716\n", + " 1866.041\n", " \n", " \n", " Refundable Credits ($b)\n", - " 103.539\n", - " 867.141\n", - " 102.528\n", + " 654.861\n", + " 827.256\n", + " 98.250\n", " \n", " \n", " Nonrefundable Credits ($b)\n", - " 94.954\n", - " 3.935\n", - " 98.942\n", + " 99.385\n", + " 0.005\n", + " 107.651\n", " \n", " \n", " Reform Surtaxes ($b)\n", @@ -268,39 +273,39 @@ " \n", " \n", " Other Taxes ($b)\n", - " 13.895\n", - " 12.309\n", - " 13.109\n", + " 12.575\n", + " 13.844\n", + " 14.446\n", " \n", " \n", " Ind Income Tax ($b)\n", - " 1321.487\n", - " 686.642\n", - " 1448.110\n", + " 764.170\n", + " 949.299\n", + " 1674.587\n", " \n", " \n", " Payroll Taxes ($b)\n", - " 1186.745\n", - " 1213.929\n", - " 1267.083\n", + " 1217.941\n", + " 1318.728\n", + " 1421.579\n", " \n", " \n", " Combined Liability ($b)\n", - " 2508.233\n", - " 1900.571\n", - " 2715.194\n", + " 1982.111\n", + " 2268.028\n", + " 3096.166\n", " \n", " \n", " With Income Tax <= 0 (#m)\n", - " 101.340\n", - " 136.280\n", - " 102.410\n", + " 135.170\n", + " 127.680\n", + " 95.970\n", " \n", " \n", " With Combined Tax <= 0 (#m)\n", - " 69.360\n", - " 106.330\n", - " 71.670\n", + " 98.150\n", + " 97.700\n", + " 67.730\n", " \n", " \n", " UBI Benefits ($b)\n", @@ -310,15 +315,15 @@ " \n", " \n", " Total Benefits, Consumption Value ($b)\n", - " 3650.123\n", - " 3871.611\n", - " 4112.506\n", + " 3617.042\n", + " 3992.973\n", + " 4069.559\n", " \n", " \n", " Total Benefits Cost ($b)\n", - " 3650.123\n", - " 3871.611\n", - " 4112.506\n", + " 3617.042\n", + " 3992.973\n", + " 4069.559\n", " \n", " \n", "\n", @@ -326,34 +331,34 @@ ], "text/plain": [ " 2020 2021 2022\n", - "Returns (#m) 205.440 208.140 210.820\n", - "AGI ($b) 11475.571 11691.366 12219.492\n", - "Itemizers (#m) 30.950 29.170 30.670\n", - "Itemized Deduction ($b) 824.019 760.366 809.757\n", - "Standard Deduction Filers (#m) 174.490 178.960 180.140\n", - "Standard Deduction ($b) 3188.464 3289.501 3344.937\n", + "Returns (#m) 204.480 207.080 209.660\n", + "AGI ($b) 11573.238 13156.205 13723.185\n", + "Itemizers (#m) 27.730 32.030 31.220\n", + "Itemized Deduction ($b) 752.189 880.903 882.969\n", + "Standard Deduction Filers (#m) 176.750 175.050 178.440\n", + "Standard Deduction ($b) 3075.468 3066.702 3229.758\n", "Personal Exemption ($b) 0.000 0.000 0.000\n", - "Taxable Income ($b) 8513.062 8731.100 9177.528\n", - "Regular Tax ($b) 1505.162 1544.527 1635.569\n", - "AMT Income ($b) 10856.448 11122.136 11611.624\n", - "AMT Liability ($b) 0.923 0.883 0.902\n", - "AMT Filers (#m) 0.420 0.440 0.440\n", - "Tax before Credits ($b) 1506.085 1545.410 1636.472\n", - "Refundable Credits ($b) 103.539 867.141 102.528\n", - "Nonrefundable Credits ($b) 94.954 3.935 98.942\n", + "Taxable Income ($b) 8617.397 10040.159 10505.738\n", + "Regular Tax ($b) 1505.274 1760.905 1864.719\n", + "AMT Income ($b) 11012.668 12497.322 13059.342\n", + "AMT Liability ($b) 0.568 1.811 1.322\n", + "AMT Filers (#m) 0.090 0.330 0.250\n", + "Tax before Credits ($b) 1505.841 1762.716 1866.041\n", + "Refundable Credits ($b) 654.861 827.256 98.250\n", + "Nonrefundable Credits ($b) 99.385 0.005 107.651\n", "Reform Surtaxes ($b) 0.000 0.000 0.000\n", - "Other Taxes ($b) 13.895 12.309 13.109\n", - "Ind Income Tax ($b) 1321.487 686.642 1448.110\n", - "Payroll Taxes ($b) 1186.745 1213.929 1267.083\n", - "Combined Liability ($b) 2508.233 1900.571 2715.194\n", - "With Income Tax <= 0 (#m) 101.340 136.280 102.410\n", - "With Combined Tax <= 0 (#m) 69.360 106.330 71.670\n", + "Other Taxes ($b) 12.575 13.844 14.446\n", + "Ind Income Tax ($b) 764.170 949.299 1674.587\n", + "Payroll Taxes ($b) 1217.941 1318.728 1421.579\n", + "Combined Liability ($b) 1982.111 2268.028 3096.166\n", + "With Income Tax <= 0 (#m) 135.170 127.680 95.970\n", + "With Combined Tax <= 0 (#m) 98.150 97.700 67.730\n", "UBI Benefits ($b) 0.000 0.000 0.000\n", - "Total Benefits, Consumption Value ($b) 3650.123 3871.611 4112.506\n", - "Total Benefits Cost ($b) 3650.123 3871.611 4112.506" + "Total Benefits, Consumption Value ($b) 3617.042 3992.973 4069.559\n", + "Total Benefits Cost ($b) 3617.042 3992.973 4069.559" ] }, - "execution_count": 4, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -371,7 +376,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": { "hide-output": false }, @@ -405,93 +410,93 @@ " \n", " \n", " Returns (#m)\n", - " 205.440\n", - " 208.140\n", - " 210.820\n", + " 204.480\n", + " 207.080\n", + " 209.660\n", " \n", " \n", " AGI ($b)\n", - " 11475.571\n", - " 11691.366\n", - " 12219.492\n", + " 11573.238\n", + " 13156.205\n", + " 13723.185\n", " \n", " \n", " Itemizers (#m)\n", - " 30.860\n", - " 29.100\n", - " 30.580\n", + " 27.660\n", + " 31.890\n", + " 31.110\n", " \n", " \n", " Itemized Deduction ($b)\n", - " 821.244\n", - " 757.934\n", - " 807.273\n", + " 749.755\n", + " 877.489\n", + " 879.822\n", " \n", " \n", " Standard Deduction Filers (#m)\n", - " 174.580\n", - " 179.040\n", - " 180.230\n", + " 176.820\n", + " 175.180\n", + " 178.560\n", " \n", " \n", " Standard Deduction ($b)\n", - " 3190.011\n", - " 3290.859\n", - " 3346.410\n", + " 3076.756\n", + " 3068.785\n", + " 3231.586\n", " \n", " \n", " Personal Exemption ($b)\n", - " 387.209\n", - " 394.699\n", - " 403.152\n", + " 375.177\n", + " 383.210\n", + " 404.808\n", " \n", " \n", " Taxable Income ($b)\n", - " 8274.064\n", - " 8486.881\n", - " 8927.069\n", + " 8369.678\n", + " 9776.270\n", + " 10230.157\n", " \n", " \n", " Regular Tax ($b)\n", - " 1511.260\n", - " 1550.256\n", - " 1643.269\n", + " 1505.595\n", + " 1764.964\n", + " 1871.117\n", " \n", " \n", " AMT Income ($b)\n", - " 10859.047\n", - " 11124.396\n", - " 11613.962\n", + " 11014.938\n", + " 12500.520\n", + " 13062.305\n", " \n", " \n", " AMT Liability ($b)\n", - " 0.978\n", - " 0.964\n", - " 0.978\n", + " 0.585\n", + " 1.927\n", + " 1.414\n", " \n", " \n", " AMT Filers (#m)\n", - " 0.450\n", - " 0.450\n", - " 0.460\n", + " 0.090\n", + " 0.350\n", + " 0.270\n", " \n", " \n", " Tax before Credits ($b)\n", - " 1512.239\n", - " 1551.220\n", - " 1644.247\n", + " 1506.180\n", + " 1766.891\n", + " 1872.531\n", " \n", " \n", " Refundable Credits ($b)\n", - " 106.802\n", - " 867.141\n", - " 106.097\n", + " 658.196\n", + " 827.256\n", + " 101.933\n", " \n", " \n", " Nonrefundable Credits ($b)\n", - " 89.372\n", - " 3.728\n", - " 93.371\n", + " 93.705\n", + " 0.002\n", + " 102.012\n", " \n", " \n", " Reform Surtaxes ($b)\n", @@ -501,39 +506,39 @@ " \n", " \n", " Other Taxes ($b)\n", - " 13.895\n", - " 12.309\n", - " 13.109\n", + " 12.575\n", + " 13.844\n", + " 14.446\n", " \n", " \n", " Ind Income Tax ($b)\n", - " 1329.959\n", - " 692.660\n", - " 1457.889\n", + " 766.855\n", + " 953.478\n", + " 1683.031\n", " \n", " \n", " Payroll Taxes ($b)\n", - " 1186.745\n", - " 1213.929\n", - " 1267.083\n", + " 1217.941\n", + " 1318.728\n", + " 1421.579\n", " \n", " \n", " Combined Liability ($b)\n", - " 2516.705\n", - " 1906.589\n", - " 2724.972\n", + " 1984.796\n", + " 2272.206\n", + " 3104.610\n", " \n", " \n", " With Income Tax <= 0 (#m)\n", - " 103.730\n", - " 138.010\n", - " 104.890\n", + " 137.340\n", + " 129.960\n", + " 98.600\n", " \n", " \n", " With Combined Tax <= 0 (#m)\n", - " 69.930\n", - " 107.270\n", - " 72.360\n", + " 98.910\n", + " 98.600\n", + " 68.450\n", " \n", " \n", " UBI Benefits ($b)\n", @@ -543,15 +548,15 @@ " \n", " \n", " Total Benefits, Consumption Value ($b)\n", - " 3650.123\n", - " 3871.611\n", - " 4112.506\n", + " 3617.042\n", + " 3992.973\n", + " 4069.559\n", " \n", " \n", " Total Benefits Cost ($b)\n", - " 3650.123\n", - " 3871.611\n", - " 4112.506\n", + " 3617.042\n", + " 3992.973\n", + " 4069.559\n", " \n", " \n", "\n", @@ -559,34 +564,34 @@ ], "text/plain": [ " 2020 2021 2022\n", - "Returns (#m) 205.440 208.140 210.820\n", - "AGI ($b) 11475.571 11691.366 12219.492\n", - "Itemizers (#m) 30.860 29.100 30.580\n", - "Itemized Deduction ($b) 821.244 757.934 807.273\n", - "Standard Deduction Filers (#m) 174.580 179.040 180.230\n", - "Standard Deduction ($b) 3190.011 3290.859 3346.410\n", - "Personal Exemption ($b) 387.209 394.699 403.152\n", - "Taxable Income ($b) 8274.064 8486.881 8927.069\n", - "Regular Tax ($b) 1511.260 1550.256 1643.269\n", - "AMT Income ($b) 10859.047 11124.396 11613.962\n", - "AMT Liability ($b) 0.978 0.964 0.978\n", - "AMT Filers (#m) 0.450 0.450 0.460\n", - "Tax before Credits ($b) 1512.239 1551.220 1644.247\n", - "Refundable Credits ($b) 106.802 867.141 106.097\n", - "Nonrefundable Credits ($b) 89.372 3.728 93.371\n", + "Returns (#m) 204.480 207.080 209.660\n", + "AGI ($b) 11573.238 13156.205 13723.185\n", + "Itemizers (#m) 27.660 31.890 31.110\n", + "Itemized Deduction ($b) 749.755 877.489 879.822\n", + "Standard Deduction Filers (#m) 176.820 175.180 178.560\n", + "Standard Deduction ($b) 3076.756 3068.785 3231.586\n", + "Personal Exemption ($b) 375.177 383.210 404.808\n", + "Taxable Income ($b) 8369.678 9776.270 10230.157\n", + "Regular Tax ($b) 1505.595 1764.964 1871.117\n", + "AMT Income ($b) 11014.938 12500.520 13062.305\n", + "AMT Liability ($b) 0.585 1.927 1.414\n", + "AMT Filers (#m) 0.090 0.350 0.270\n", + "Tax before Credits ($b) 1506.180 1766.891 1872.531\n", + "Refundable Credits ($b) 658.196 827.256 101.933\n", + "Nonrefundable Credits ($b) 93.705 0.002 102.012\n", "Reform Surtaxes ($b) 0.000 0.000 0.000\n", - "Other Taxes ($b) 13.895 12.309 13.109\n", - "Ind Income Tax ($b) 1329.959 692.660 1457.889\n", - "Payroll Taxes ($b) 1186.745 1213.929 1267.083\n", - "Combined Liability ($b) 2516.705 1906.589 2724.972\n", - "With Income Tax <= 0 (#m) 103.730 138.010 104.890\n", - "With Combined Tax <= 0 (#m) 69.930 107.270 72.360\n", + "Other Taxes ($b) 12.575 13.844 14.446\n", + "Ind Income Tax ($b) 766.855 953.478 1683.031\n", + "Payroll Taxes ($b) 1217.941 1318.728 1421.579\n", + "Combined Liability ($b) 1984.796 2272.206 3104.610\n", + "With Income Tax <= 0 (#m) 137.340 129.960 98.600\n", + "With Combined Tax <= 0 (#m) 98.910 98.600 68.450\n", "UBI Benefits ($b) 0.000 0.000 0.000\n", - "Total Benefits, Consumption Value ($b) 3650.123 3871.611 4112.506\n", - "Total Benefits Cost ($b) 3650.123 3871.611 4112.506" + "Total Benefits, Consumption Value ($b) 3617.042 3992.973 4069.559\n", + "Total Benefits Cost ($b) 3617.042 3992.973 4069.559" ] }, - "execution_count": 5, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -604,7 +609,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": { "hide-output": false }, @@ -638,93 +643,93 @@ " \n", " \n", " Returns (#m)\n", - " 205.440\n", - " 208.140\n", - " 210.820\n", + " 204.480\n", + " 207.080\n", + " 209.660\n", " \n", " \n", " AGI ($b)\n", - " 11445.873\n", - " 11659.522\n", - " 12185.655\n", + " 11547.479\n", + " 13123.042\n", + " 13686.894\n", " \n", " \n", " Itemizers (#m)\n", - " 30.830\n", - " 29.070\n", - " 30.560\n", + " 27.630\n", + " 31.870\n", + " 31.080\n", " \n", " \n", " Itemized Deduction ($b)\n", - " 819.497\n", - " 756.391\n", - " 805.450\n", + " 748.521\n", + " 875.970\n", + " 878.204\n", " \n", " \n", " Standard Deduction Filers (#m)\n", - " 174.620\n", - " 179.060\n", - " 180.260\n", + " 176.850\n", + " 175.200\n", + " 178.580\n", " \n", " \n", " Standard Deduction ($b)\n", - " 3190.774\n", - " 3291.311\n", - " 3347.043\n", + " 3077.317\n", + " 3069.335\n", + " 3232.059\n", " \n", " \n", " Personal Exemption ($b)\n", - " 387.209\n", - " 394.699\n", - " 403.152\n", + " 375.177\n", + " 383.210\n", + " 404.808\n", " \n", " \n", " Taxable Income ($b)\n", - " 8245.048\n", - " 8455.598\n", - " 8893.866\n", + " 8344.174\n", + " 9743.507\n", + " 10194.449\n", " \n", " \n", " Regular Tax ($b)\n", - " 1498.246\n", - " 1536.636\n", - " 1628.637\n", + " 1494.026\n", + " 1750.669\n", + " 1855.496\n", " \n", " \n", " AMT Income ($b)\n", - " 10830.848\n", - " 11093.908\n", - " 11581.700\n", + " 10990.180\n", + " 12468.655\n", + " 13027.447\n", " \n", " \n", " AMT Liability ($b)\n", - " 0.990\n", - " 0.984\n", - " 1.007\n", + " 0.583\n", + " 1.967\n", + " 1.452\n", " \n", " \n", " AMT Filers (#m)\n", - " 0.440\n", - " 0.450\n", - " 0.460\n", + " 0.090\n", + " 0.350\n", + " 0.280\n", " \n", " \n", " Tax before Credits ($b)\n", - " 1499.236\n", - " 1537.620\n", - " 1629.644\n", + " 1494.609\n", + " 1752.636\n", + " 1856.948\n", " \n", " \n", " Refundable Credits ($b)\n", - " 106.529\n", - " 867.114\n", - " 105.817\n", + " 657.905\n", + " 827.233\n", + " 101.663\n", " \n", " \n", " Nonrefundable Credits ($b)\n", - " 89.619\n", - " 3.744\n", - " 93.623\n", + " 93.933\n", + " 0.002\n", + " 102.266\n", " \n", " \n", " Reform Surtaxes ($b)\n", @@ -734,39 +739,39 @@ " \n", " \n", " Other Taxes ($b)\n", - " 13.579\n", - " 12.004\n", - " 12.784\n", + " 12.290\n", + " 13.496\n", + " 14.083\n", " \n", " \n", " Ind Income Tax ($b)\n", - " 1316.667\n", - " 678.766\n", - " 1442.988\n", + " 755.060\n", + " 938.897\n", + " 1667.103\n", " \n", " \n", " Payroll Taxes ($b)\n", - " 1185.888\n", - " 1212.854\n", - " 1266.008\n", + " 1217.293\n", + " 1317.688\n", + " 1420.460\n", " \n", " \n", " Combined Liability ($b)\n", - " 2502.555\n", - " 1891.620\n", - " 2708.996\n", + " 1972.353\n", + " 2256.585\n", + " 3087.563\n", " \n", " \n", " With Income Tax <= 0 (#m)\n", - " 103.580\n", - " 137.980\n", - " 104.690\n", + " 137.310\n", + " 129.930\n", + " 98.420\n", " \n", " \n", " With Combined Tax <= 0 (#m)\n", - " 69.730\n", - " 107.250\n", - " 72.170\n", + " 98.880\n", + " 98.570\n", + " 68.270\n", " \n", " \n", " UBI Benefits ($b)\n", @@ -776,15 +781,15 @@ " \n", " \n", " Total Benefits, Consumption Value ($b)\n", - " 3650.123\n", - " 3871.611\n", - " 4112.506\n", + " 3617.042\n", + " 3992.973\n", + " 4069.559\n", " \n", " \n", " Total Benefits Cost ($b)\n", - " 3650.123\n", - " 3871.611\n", - " 4112.506\n", + " 3617.042\n", + " 3992.973\n", + " 4069.559\n", " \n", " \n", "\n", @@ -792,34 +797,34 @@ ], "text/plain": [ " 2020 2021 2022\n", - "Returns (#m) 205.440 208.140 210.820\n", - "AGI ($b) 11445.873 11659.522 12185.655\n", - "Itemizers (#m) 30.830 29.070 30.560\n", - "Itemized Deduction ($b) 819.497 756.391 805.450\n", - "Standard Deduction Filers (#m) 174.620 179.060 180.260\n", - "Standard Deduction ($b) 3190.774 3291.311 3347.043\n", - "Personal Exemption ($b) 387.209 394.699 403.152\n", - "Taxable Income ($b) 8245.048 8455.598 8893.866\n", - "Regular Tax ($b) 1498.246 1536.636 1628.637\n", - "AMT Income ($b) 10830.848 11093.908 11581.700\n", - "AMT Liability ($b) 0.990 0.984 1.007\n", - "AMT Filers (#m) 0.440 0.450 0.460\n", - "Tax before Credits ($b) 1499.236 1537.620 1629.644\n", - "Refundable Credits ($b) 106.529 867.114 105.817\n", - "Nonrefundable Credits ($b) 89.619 3.744 93.623\n", + "Returns (#m) 204.480 207.080 209.660\n", + "AGI ($b) 11547.479 13123.042 13686.894\n", + "Itemizers (#m) 27.630 31.870 31.080\n", + "Itemized Deduction ($b) 748.521 875.970 878.204\n", + "Standard Deduction Filers (#m) 176.850 175.200 178.580\n", + "Standard Deduction ($b) 3077.317 3069.335 3232.059\n", + "Personal Exemption ($b) 375.177 383.210 404.808\n", + "Taxable Income ($b) 8344.174 9743.507 10194.449\n", + "Regular Tax ($b) 1494.026 1750.669 1855.496\n", + "AMT Income ($b) 10990.180 12468.655 13027.447\n", + "AMT Liability ($b) 0.583 1.967 1.452\n", + "AMT Filers (#m) 0.090 0.350 0.280\n", + "Tax before Credits ($b) 1494.609 1752.636 1856.948\n", + "Refundable Credits ($b) 657.905 827.233 101.663\n", + "Nonrefundable Credits ($b) 93.933 0.002 102.266\n", "Reform Surtaxes ($b) 0.000 0.000 0.000\n", - "Other Taxes ($b) 13.579 12.004 12.784\n", - "Ind Income Tax ($b) 1316.667 678.766 1442.988\n", - "Payroll Taxes ($b) 1185.888 1212.854 1266.008\n", - "Combined Liability ($b) 2502.555 1891.620 2708.996\n", - "With Income Tax <= 0 (#m) 103.580 137.980 104.690\n", - "With Combined Tax <= 0 (#m) 69.730 107.250 72.170\n", + "Other Taxes ($b) 12.290 13.496 14.083\n", + "Ind Income Tax ($b) 755.060 938.897 1667.103\n", + "Payroll Taxes ($b) 1217.293 1317.688 1420.460\n", + "Combined Liability ($b) 1972.353 2256.585 3087.563\n", + "With Income Tax <= 0 (#m) 137.310 129.930 98.420\n", + "With Combined Tax <= 0 (#m) 98.880 98.570 68.270\n", "UBI Benefits ($b) 0.000 0.000 0.000\n", - "Total Benefits, Consumption Value ($b) 3650.123 3871.611 4112.506\n", - "Total Benefits Cost ($b) 3650.123 3871.611 4112.506" + "Total Benefits, Consumption Value ($b) 3617.042 3992.973 4069.559\n", + "Total Benefits Cost ($b) 3617.042 3992.973 4069.559" ] }, - "execution_count": 6, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -850,7 +855,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.8" + "version": "3.9.18" }, "title": "Recipe 2: Estimating Behavioral Response to Reform" }, diff --git a/docs/recipes/recipe03.ipynb b/docs/recipes/recipe03.ipynb index b78793ed2..649da23c8 100644 --- a/docs/recipes/recipe03.ipynb +++ b/docs/recipes/recipe03.ipynb @@ -18,20 +18,20 @@ "remove-cell" ] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], "source": [ - "# Install conda and taxcalc if in Google Colab.\n", - "# the `&> /dev/null` silences output except for errors\n", + "# Install taxcalc if not already installed\n", "import sys\n", - "if 'google.colab' in sys.modules and 'taxbrain' not in sys.modules:\n", - " !wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh &> /dev/null\n", - " !bash Miniconda3-latest-Linux-x86_64.sh -bfp /usr/local &> /dev/null\n", - " # Append path to be able to run packages installed with conda\n", - " # This must correspond to the conda Python version, which may differ from\n", - " # the base Colab Python installation.\n", - " sys.path.append('/usr/local/lib/python3.8/site-packages')\n", - " # Install taxbrain\n", - " !yes | conda install -c conda-forge taxcalc &> /dev/null" + "if 'taxcalc' not in sys.modules:\n", + " %pip install taxcalc &> /dev/null # dev/null suppresses output" ] }, { @@ -40,7 +40,18 @@ "metadata": { "hide-output": false }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jason.debacker/Library/Python/3.9/lib/python/site-packages/urllib3/__init__.py:34: NotOpenSSLWarning: urllib3 v2.0 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with 'LibreSSL 2.8.3'. See: https://github.com/urllib3/urllib3/issues/3020\n", + " warnings.warn(\n", + "/var/folders/bw/1cvntf9x02b49nfwgy_qnfn00000gp/T/ipykernel_23337/2301227557.py:21: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n", + " gbydf = vardf.groupby('table_row', as_index=False)\n" + ] + } + ], "source": [ "import taxcalc as tc\n", "import numpy as np\n", @@ -84,16 +95,16 @@ "output_type": "stream", "text": [ "AGI Category \t Num(#M)\t Avg($K)\n", - "[-9e+99, 1) \t 0.076\t 0.198\n", - "[1, 5000) \t 3.391\t 0.479\n", - "[5000, 10000) \t 5.145\t 1.228\n", - "[10000, 15000) \t 5.789\t 1.793\n", - "[15000, 20000) \t 3.259\t 3.448\n", - "[20000, 25000) \t 2.663\t 4.204\n", - "[25000, 30000) \t 2.399\t 3.765\n", - "[30000, 40000) \t 4.216\t 2.550\n", - "[40000, 50000) \t 2.418\t 1.418\n", - "[50000, 75000) \t 0.548\t 0.533\n", + "[-9e+99, 1) \t 0.077\t 0.306\n", + "[1, 5000) \t 3.177\t 0.548\n", + "[5000, 10000) \t 4.808\t 1.343\n", + "[10000, 15000) \t 5.338\t 1.878\n", + "[15000, 20000) \t 3.159\t 3.613\n", + "[20000, 25000) \t 2.578\t 4.326\n", + "[25000, 30000) \t 2.303\t 3.867\n", + "[30000, 40000) \t 4.457\t 2.660\n", + "[40000, 50000) \t 2.644\t 1.384\n", + "[50000, 75000) \t 0.536\t 0.547\n", "[75000, 100000) \t 0.000\t nan\n", "[100000, 200000) \t 0.000\t nan\n", "[200000, 500000) \t 0.000\t nan\n", @@ -103,7 +114,7 @@ "[2000000, 5000000) \t 0.000\t nan\n", "[5000000, 10000000) \t 0.000\t nan\n", "[10000000, 9e+99) \t 0.000\t nan\n", - "ALL \t 29.906\t 2.149\n" + "ALL \t 29.077\t 2.254\n" ] } ], @@ -153,7 +164,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.8" + "version": "3.9.6" }, "title": "Recipe 3: Creating a Custom Table" }, diff --git a/docs/recipes/recipe04.ipynb b/docs/recipes/recipe04.ipynb index d38643cc0..f4ed1c18c 100644 --- a/docs/recipes/recipe04.ipynb +++ b/docs/recipes/recipe04.ipynb @@ -13,7 +13,20 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "if 'google.colab' in sys.modules:\n", + " !pip install -q condacolab &> /dev/null # dev/null suppresses output\n", + " import condacolab\n", + " condacolab.install()" + ] + }, + { + "cell_type": "code", + "execution_count": null, "metadata": { "tags": [ "remove-cell" @@ -21,24 +34,16 @@ }, "outputs": [], "source": [ - "# Install conda, taxcalc, and behresp if in Google Colab.\n", - "# the `&> /dev/null` silences output except for errors\n", - "import sys\n", - "if 'google.colab' in sys.modules and 'taxbrain' not in sys.modules:\n", - " !wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh &> /dev/null\n", - " !bash Miniconda3-latest-Linux-x86_64.sh -bfp /usr/local &> /dev/null\n", - " # Append path to be able to run packages installed with conda\n", - " # This must correspond to the conda Python version, which may differ from\n", - " # the base Colab Python installation.\n", - " sys.path.append('/usr/local/lib/python3.8/site-packages')\n", - " # Install taxbrain\n", - " !yes | conda install -c conda-forge taxcalc &> /dev/null\n", - " !yes | conda install -c conda-forge behresp &> /dev/null" + "# Install taxcalc if not already installed\n", + "if 'taxcalc' not in sys.modules:\n", + " %pip install taxcalc &> /dev/null # dev/null suppresses output\n", + "if 'behresp' not in sys.modules:\n", + " !yes | conda install conda-forge::behresp &> /dev/null" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": { "hide-output": false }, @@ -50,9 +55,9 @@ "\n", "Response in Charitable Giving by Earnings Group\n", "Earnings Group \t Num(#M)\tResp($B)\t Resp(%)\n", - "[-9e+99, 50000) \t 153.673\t 0.579\t 0.35\n", - "[50000, 9e+99) \t 51.771\t 2.810\t 1.92\n", - "ALL \t 205.444\t 3.388\t 1.09\n" + "[-9e+99, 50000) \t 151.185\t 0.662\t 0.40\n", + "[50000, 9e+99) \t 53.299\t 3.088\t 1.99\n", + "ALL \t 204.484\t 3.749\t 1.17\n" ] } ], @@ -160,7 +165,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.8" + "version": "3.9.13" }, "title": "Recipe 4: Estimating Differential Reform Response" }, diff --git a/docs/recipes/recipe04_pandas.ipynb b/docs/recipes/recipe04_pandas.ipynb index 56996bc4b..2b3f39499 100644 --- a/docs/recipes/recipe04_pandas.ipynb +++ b/docs/recipes/recipe04_pandas.ipynb @@ -13,7 +13,20 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "if 'google.colab' in sys.modules:\n", + " !pip install -q condacolab &> /dev/null # dev/null suppresses output\n", + " import condacolab\n", + " condacolab.install()" + ] + }, + { + "cell_type": "code", + "execution_count": null, "metadata": { "tags": [ "remove-cell" @@ -21,24 +34,16 @@ }, "outputs": [], "source": [ - "# Install conda, taxcalc, and behresp if in Google Colab.\n", - "# the `&> /dev/null` silences output except for errors\n", - "import sys\n", - "if 'google.colab' in sys.modules and 'taxbrain' not in sys.modules:\n", - " !wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh &> /dev/null\n", - " !bash Miniconda3-latest-Linux-x86_64.sh -bfp /usr/local &> /dev/null\n", - " # Append path to be able to run packages installed with conda\n", - " # This must correspond to the conda Python version, which may differ from\n", - " # the base Colab Python installation.\n", - " sys.path.append('/usr/local/lib/python3.8/site-packages')\n", - " # Install taxbrain\n", - " !yes | conda install -c conda-forge taxcalc &> /dev/null\n", - " !yes | conda install -c conda-forge behresp &> /dev/null" + "# Install taxcalc if not already installed\n", + "if 'taxcalc' not in sys.modules:\n", + " %pip install taxcalc &> /dev/null # dev/null suppresses output\n", + "if 'behresp' not in sys.modules:\n", + " !yes | conda install conda-forge::behresp &> /dev/null" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": { "hide-output": false }, @@ -153,7 +158,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": { "hide-output": false }, @@ -189,23 +194,23 @@ " \n", " 0\n", " [-9e+99, 50000.0)\n", - " 153.673\n", - " 0.579\n", - " 0.354\n", + " 151.185\n", + " 0.662\n", + " 0.399\n", " \n", " \n", " 1\n", " [50000.0, 9e+99)\n", - " 51.771\n", - " 2.810\n", - " 1.924\n", + " 53.299\n", + " 3.088\n", + " 1.992\n", " \n", " \n", " 2\n", " TOTAL\n", - " 205.444\n", - " 3.388\n", - " 1.094\n", + " 204.484\n", + " 3.749\n", + " 1.169\n", " \n", " \n", "\n", @@ -213,12 +218,12 @@ ], "text/plain": [ " Earnings Group Num(#M) Resp($B) Resp(%)\n", - "0 [-9e+99, 50000.0) 153.673 0.579 0.354\n", - "1 [50000.0, 9e+99) 51.771 2.810 1.924\n", - "2 TOTAL 205.444 3.388 1.094" + "0 [-9e+99, 50000.0) 151.185 0.662 0.399\n", + "1 [50000.0, 9e+99) 53.299 3.088 1.992\n", + "2 TOTAL 204.484 3.749 1.169" ] }, - "execution_count": 3, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -249,7 +254,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.8" + "version": "3.9.13" }, "title": "Recipe 4: Estimating Differential Reform Response - pandas version" }, diff --git a/docs/recipes/recipe05.ipynb b/docs/recipes/recipe05.ipynb index b1e8d1581..9a7c458c6 100644 --- a/docs/recipes/recipe05.ipynb +++ b/docs/recipes/recipe05.ipynb @@ -27,60 +27,68 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": { "tags": [ "remove-cell" ] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], "source": [ - "# Install conda and taxcalc if in Google Colab.\n", - "# the `&> /dev/null` silences output except for errors\n", + "# Install taxcalc if not already installed\n", "import sys\n", - "if 'google.colab' in sys.modules and 'taxbrain' not in sys.modules:\n", - " !wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh &> /dev/null\n", - " !bash Miniconda3-latest-Linux-x86_64.sh -bfp /usr/local &> /dev/null\n", - " # Append path to be able to run packages installed with conda\n", - " # This must correspond to the conda Python version, which may differ from\n", - " # the base Colab Python installation.\n", - " sys.path.append('/usr/local/lib/python3.8/site-packages')\n", - " # Install taxbrain\n", - " !yes | conda install -c conda-forge taxcalc &> /dev/null" + "if 'taxcalc' not in sys.modules:\n", + " %pip install taxcalc &> /dev/null # dev/null suppresses output" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": { "hide-output": false }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jason.debacker/Library/Python/3.9/lib/python/site-packages/urllib3/__init__.py:34: NotOpenSSLWarning: urllib3 v2.0 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with 'LibreSSL 2.8.3'. See: https://github.com/urllib3/urllib3/issues/3020\n", + " warnings.warn(\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "2018_REFORM1_iitax_rev($B)= 1490.622\n", - "2018_REFORM2_iitax_rev($B)= 1318.628\n", + "2018_REFORM1_iitax_rev($B)= 1357.959\n", + "2018_REFORM2_iitax_rev($B)= 1191.548\n", "\n", "Extract of 2018 income-tax difference table by expanded-income decile\n", "(taxfall is count of funits with cut in income tax in reform 2 vs 1)\n", "(taxrise is count of funits with rise in income tax in reform 2 vs 1)\n", " funits(#m) taxfall(#m) taxrise(#m) agg_diff($b) mean_diff($) aftertax_income_diff(%)\n", - "<$0K 0.139124 0.0 0.0 0.0 0.0 0.0\n", - "=$0K 29.360997 0.003983 0.002566 -0.000287 -0.009787 -10.994703\n", - "$0-10K 32.634225 2.439499 1.481056 -0.192404 -5.895768 0.153202\n", - "$10-20K 21.215453 11.400456 3.749611 -1.574948 -74.235899 0.523949\n", - "$20-30K 18.488102 13.415713 3.117832 -3.833011 -207.323123 0.911481\n", - "$30-40K 16.846289 13.309936 2.780591 -7.114322 -422.307974 1.398477\n", - "$40-50K 13.333506 11.09226 1.916136 -8.326389 -624.471124 1.663769\n", - "$50-75K 22.922516 20.261737 2.364728 -20.252232 -883.508263 1.781652\n", - "$75-100K 13.730687 12.392468 1.229796 -16.292847 -1186.601008 1.73044\n", - "$100-200K 21.754256 19.722118 1.936147 -41.919663 -1926.963736 1.832605\n", - "$200-500K 7.847764 7.236539 0.604507 -43.906601 -5594.791585 2.662069\n", - "$500-1000K 1.149148 1.07263 0.076518 -15.341258 -13350.120894 2.854432\n", - ">$1000K 0.514758 0.428676 0.086082 -13.239708 -25720.23792 1.98472\n", - "ALL 199.936825 112.776014 19.345569 -171.993672 -860.240085 1.89689\n" + "<$0K 0.129804 0.0 0.0 0.0 0.0 0.0\n", + "=$0K 28.997572 0.003718 0.001407 -0.000261 -0.008994 -10.526744\n", + "$0-10K 32.922181 2.554743 1.40047 -0.203435 -6.179258 0.159624\n", + "$10-20K 21.708136 12.425967 3.591809 -1.710808 -78.80952 0.55683\n", + "$20-30K 18.701441 14.515061 2.676056 -4.194498 -224.287399 0.984496\n", + "$30-40K 16.854735 13.888505 2.418122 -7.553283 -448.140132 1.486787\n", + "$40-50K 13.339599 11.341441 1.754578 -8.763624 -656.963111 1.751975\n", + "$50-75K 22.042293 19.660424 2.143487 -20.04181 -909.243402 1.832268\n", + "$75-100K 13.857519 12.601969 1.151749 -16.995741 -1226.463508 1.787595\n", + "$100-200K 21.789028 19.756532 1.942246 -42.49801 -1950.431685 1.850584\n", + "$200-500K 7.451103 6.918421 0.529425 -41.047952 -5508.976365 2.663093\n", + "$500-1000K 0.967451 0.891342 0.076109 -12.384206 -12800.85902 2.725012\n", + ">$1000K 0.445622 0.372131 0.073491 -11.017856 -24724.688454 1.966994\n", + "ALL 199.206484 114.930254 17.75895 -166.411483 -835.371819 1.899907\n" ] } ], @@ -243,7 +251,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.8" + "version": "3.9.6" }, "title": "Recipe 5: Redefining Expanded Income" }, diff --git a/docs/recipes/recipe06.ipynb b/docs/recipes/recipe06.ipynb index 42a98b335..41b28c10c 100644 --- a/docs/recipes/recipe06.ipynb +++ b/docs/recipes/recipe06.ipynb @@ -32,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "metadata": { "tags": [ "remove-cell" @@ -40,23 +40,15 @@ }, "outputs": [], "source": [ - "# Install conda and taxcalc if in Google Colab.\n", - "# the `&> /dev/null` silences output except for errors\n", + "# Install taxcalc if not already installed\n", "import sys\n", - "if 'google.colab' in sys.modules and 'taxbrain' not in sys.modules:\n", - " !wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh &> /dev/null\n", - " !bash Miniconda3-latest-Linux-x86_64.sh -bfp /usr/local &> /dev/null\n", - " # Append path to be able to run packages installed with conda\n", - " # This must correspond to the conda Python version, which may differ from\n", - " # the base Colab Python installation.\n", - " sys.path.append('/usr/local/lib/python3.8/site-packages')\n", - " # Install taxbrain\n", - " !yes | conda install -c conda-forge taxcalc &> /dev/null" + "if 'taxcalc' not in sys.modules:\n", + " %pip install taxcalc &> /dev/null # dev/null suppresses output" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": { "hide-output": false }, @@ -66,10 +58,10 @@ "output_type": "stream", "text": [ "YEAR UNITS ITAX1 ITAX2 EITC1 EITC2 COLR1 COLR2\n", - "2019 202.7 1402.9 1402.9 59.3 59.3 0.0 0.0\n", - "2020 205.4 1321.5 1042.9 64.3 0.0 0.0 342.8\n", - "2021 208.1 686.6 436.7 93.7 0.0 0.0 343.6\n", - "2022 210.8 1448.1 1170.1 63.6 0.0 0.0 341.5\n" + "2019 201.9 1259.0 1259.0 63.3 63.3 0.0 0.0\n", + "2020 204.5 764.2 473.6 65.5 0.0 0.0 356.1\n", + "2021 207.1 949.3 694.1 76.4 0.0 0.0 331.6\n", + "2022 209.7 1674.6 1386.5 60.7 0.0 0.0 348.8\n" ] } ], @@ -231,6 +223,13 @@ " eitc1 * 1e-9, eitc2 * 1e-9,\n", " colr1 * 1e-9, colr2 * 1e-9))" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -254,7 +253,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.8" + "version": "3.9.6" }, "title": "Recipe 6: Analyzing a Non-Parametric Reform" }, From bec2f7d474d459927ac70d418c7db1cefca606d5 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Sun, 25 Feb 2024 18:18:38 -0500 Subject: [PATCH 13/16] updates to package files --- taxcalc.egg-info/PKG-INFO | 19 +++++++++++-------- taxcalc.egg-info/SOURCES.txt | 2 +- taxcalc.egg-info/requires.txt | 2 ++ 3 files changed, 14 insertions(+), 9 deletions(-) diff --git a/taxcalc.egg-info/PKG-INFO b/taxcalc.egg-info/PKG-INFO index 0f8ed3e11..031857e11 100644 --- a/taxcalc.egg-info/PKG-INFO +++ b/taxcalc.egg-info/PKG-INFO @@ -12,21 +12,24 @@ Classifier: License :: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication Classifier: Operating System :: OS Independent Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 3 -Classifier: Programming Language :: Python :: 3.7 -Classifier: Programming Language :: Python :: 3.8 Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 Classifier: Topic :: Software Development :: Libraries :: Python Modules -License-File: LICENSE.md +License-File: LICENSE Requires-Dist: setuptools Requires-Dist: numpy Requires-Dist: pandas Requires-Dist: bokeh Requires-Dist: numba +Requires-Dist: requests +Requires-Dist: paramtools -[![PSL cataloged](https://img.shields.io/badge/PSL-cataloged-a0a0a0.svg)](https://www.PSLmodels.org) -[![Python 3.6+](https://img.shields.io/badge/python-3.6%2B-blue.svg)](https://www.python.org/downloads/release/python-360/) -[![Build Status](https://travis-ci.org/PSLmodels/Tax-Calculator.svg?branch=master)](https://travis-ci.org/PSLmodels/Tax-Calculator) -[![Codecov](https://codecov.io/gh/PSLmodels/Tax-Calculator/branch/master/graph/badge.svg)](https://codecov.io/gh/PSLmodels/Tax-Calculator) +| | | +| --- | --- | +| Org | [![PSL cataloged](https://img.shields.io/badge/PSL-cataloged-a0a0a0.svg)](https://www.PSLmodels.org) [![OS License: CCO-1.0](https://img.shields.io/badge/OS%20License-CCO%201.0-yellow)](https://github.com/PSLmodels/Tax-Calculator/blob/master/LICENSE) [![Jupyter Book Badge](https://jupyterbook.org/badge.svg)](https://pslmodels.github.io/Tax-Calculator/) | +| Package | [![Python 3.9](https://img.shields.io/badge/python-3.9-blue.svg)](https://www.python.org/downloads/release/python-3916/) [![Python 3.10](https://img.shields.io/badge/python-3.10-blue.svg)](https://www.python.org/downloads/release/python-3108/) [![Python 3.11](https://img.shields.io/badge/python-3.11-blue.svg)](https://www.python.org/downloads/release/python-3118/) [![PyPI Latest Release](https://img.shields.io/pypi/v/taxcalc.svg)](https://pypi.org/project/taxcalc/) [![PyPI Downloads](https://img.shields.io/pypi/dm/taxcalc.svg?label=PyPI%20downloads)](https://pypi.org/project/taxcalc/) [![Anaconda](https://img.shields.io/conda/dn/conda-forge/taxcalc?color=brightgreen&label=downloads&logo=conda-forge)](https://anaconda.org/conda-forge/taxcalc)| +| Testing | ![example event parameter](https://github.com/PSLmodels/Tax-Calculator/actions/workflows/build_and_test.yml/badge.svg?branch=master) ![example event parameter](https://github.com/PSLmodels/Tax-Calculator/actions/workflows/deploy_jupyterbook.yml/badge.svg?branch=master) [![Codecov](https://codecov.io/gh/PSLmodels/Tax-Calculator/branch/master/graph/badge.svg)](https://codecov.io/gh/PSLmodels/Tax-Calculator) | Tax-Calculator @@ -36,7 +39,7 @@ Tax-Calculator is an open-source microsimulation model for static analysis of USA federal income and payroll taxes. We are seeking contributors and maintainers. If you are interested in joining the project as a contributor or maintainer, -open a new [issue](https://github.com/PSLmodels/Tax-Calculator/issues) and ping @MattHJensen or @jdebacker -- or just jump right in. +open a new [issue](https://github.com/PSLmodels/Tax-Calculator/issues) and ping [@MattHJensen](https://github.com/MattHJensen/) or [@jdebacker](https://github.com/jdebacker/) -- or just jump right in. Complete documentation is available [here](https://PSLmodels.github.io/Tax-Calculator/). diff --git a/taxcalc.egg-info/SOURCES.txt b/taxcalc.egg-info/SOURCES.txt index 747863a02..7c9f694e2 100644 --- a/taxcalc.egg-info/SOURCES.txt +++ b/taxcalc.egg-info/SOURCES.txt @@ -1,4 +1,4 @@ -LICENSE.md +LICENSE MANIFEST.in README.md setup.py diff --git a/taxcalc.egg-info/requires.txt b/taxcalc.egg-info/requires.txt index 1f04885ba..f8a31659f 100644 --- a/taxcalc.egg-info/requires.txt +++ b/taxcalc.egg-info/requires.txt @@ -3,3 +3,5 @@ numpy pandas bokeh numba +requests +paramtools From 737b873fb68a59730a035a4703d4e5837a141d74 Mon Sep 17 00:00:00 2001 From: jdebacker Date: Sun, 25 Feb 2024 20:01:39 -0500 Subject: [PATCH 14/16] fix to pandas deprecation warning --- taxcalc/utils.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/taxcalc/utils.py b/taxcalc/utils.py index 031e5631f..f00184ba5 100644 --- a/taxcalc/utils.py +++ b/taxcalc/utils.py @@ -361,7 +361,7 @@ def stat_dataframe(gdf): dframe = add_income_table_row_variable(vdf, income_measure, SOI_AGI_BINS) # construct grouped DataFrame - gdf = dframe.groupby('table_row', as_index=False) + gdf = dframe.groupby('table_row', observed=False, as_index=False) dist_table = stat_dataframe(gdf) del dframe['table_row'] # compute sum row @@ -901,7 +901,7 @@ def mtr_graph_data(vdf, year, weight_by_income_measure=dollar_weighting ) # split dfx into groups specified by 'table_row' column - gdfx = dfx.groupby('table_row', as_index=False) + gdfx = dfx.groupby('table_row', observed=False, as_index=False) # apply the weighting_function to percentile-grouped mtr values mtr1_series = gdfx.apply(weighting_function, 'mtr1').values[:, 1] mtr2_series = gdfx.apply(weighting_function, 'mtr2').values[:, 1] @@ -1018,7 +1018,7 @@ def atr_graph_data(vdf, year, include = [0] * num_bins_with_nonpos + [1] * (100 - num_bins_with_nonpos) included = np.array(include, dtype=bool) # split dfx into groups specified by 'table_row' column - gdfx = dfx.groupby('table_row', as_index=False) + gdfx = dfx.groupby('table_row', observed=False, as_index=False) # apply weighted_mean function to percentile-grouped values avginc_series = gdfx.apply(weighted_mean, 'expanded_income').values[:, 1] avgtax1_series = gdfx.apply(weighted_mean, 'tax1').values[:, 1] @@ -1192,7 +1192,7 @@ def pch_graph_data(vdf, year, pop_quantiles=False): include = [0] * num_bins_with_nonpos + [1] * (100 - num_bins_with_nonpos) included = np.array(include, dtype=bool) # split dfx into groups specified by 'table_row' column - gdfx = dfx.groupby('table_row', as_index=False) + gdfx = dfx.groupby('table_row', observed=False, as_index=False) # apply weighted_mean function to percentile-grouped values avginc_series = gdfx.apply(weighted_mean, 'expanded_income').values[:, 1] change_series = gdfx.apply(weighted_mean, 'chg_aftinc').values[:, 1] From f27093b0ebc8fe3f32acffdd3b6f7283ac66106f Mon Sep 17 00:00:00 2001 From: jdebacker Date: Sun, 25 Feb 2024 21:20:11 -0500 Subject: [PATCH 15/16] update benchmark stats --- taxcalc/tests/test_stats_benchmark.csv | 34 -------------------------- 1 file changed, 34 deletions(-) diff --git a/taxcalc/tests/test_stats_benchmark.csv b/taxcalc/tests/test_stats_benchmark.csv index f3e7e8e0e..31dd07908 100644 --- a/taxcalc/tests/test_stats_benchmark.csv +++ b/taxcalc/tests/test_stats_benchmark.csv @@ -302,7 +302,6 @@ surtax RECID FLPDYR -<<<<<<< HEAD ",False,8.0,-66.3790539999809 247,taxcalc/tests/test_taxcalcio.py::test_output_options,,passed,22105.670846000066,,,,,,,,,,,,,,,,,,,,,,,,,,-116.19489099996281 248,taxcalc/tests/test_taxcalcio.py::test_write_doc_file,,passed,12772.544447999962,,,,,,,,,,,,,,,,,,,,,,,,,,-122.62910600008945 @@ -334,36 +333,3 @@ 274,taxcalc/tests/test_utils.py::test_create_delete_temp_file,,passed,0.2715170001010847,,,,,,,,,,,,,,,,,,,,,,,,,,0.008879000120032288 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-273,taxcalc/tests/test_utils.py::test_read_egg_json,,passed,0.2505240000800768,,,,,,,,,,,,,,,,,,,,,,,,,,0.022056000034354012 -274,taxcalc/tests/test_utils.py::test_create_delete_temp_file,,passed,0.26879800009282917,,,,,,,,,,,,,,,,,,,,,,,,,,0.007358000061685743 -275,taxcalc/tests/test_utils.py::test_bootstrap_se_ci,,passed,0.37664800004222343,,,,,,,,,,,,,,,,,,,,,,,,,,0.0004429999762578518 -276,taxcalc/tests/test_utils.py::test_table_columns_labels,,passed,0.10399300003882672,,,,,,,,,,,,,,,,,,,,,,,,,,-0.004520999937085379 ->>>>>>> origin/master From b433a473cbc3f6b8e464bd1cb141a95f4815f0ad Mon Sep 17 00:00:00 2001 From: github-actions Date: Mon, 26 Feb 2024 18:35:42 +0000 Subject: [PATCH 16/16] Update test benchmark 2024-02-26 --- taxcalc/tests/test_stats_benchmark.csv | 596 ++++++++++++------------- 1 file changed, 298 insertions(+), 298 deletions(-) diff --git a/taxcalc/tests/test_stats_benchmark.csv b/taxcalc/tests/test_stats_benchmark.csv index 31dd07908..e6cface7b 100644 --- a/taxcalc/tests/test_stats_benchmark.csv +++ b/taxcalc/tests/test_stats_benchmark.csv @@ -1,335 +1,335 @@ ,test_id,pytest_obj,status,duration_ms,test_tuple,expected_value,revision,expect,fname,jfname,pfname,good_revision,params,is_paramtools,set_year,csv,fyear,input_data,baseline,reform,assump,outdir,year,base,ref,asm,dumpvar_str,str_valid,num_vars,time_diff -0,taxcalc/tests/test_4package.py::test_for_consistency,,passed,3.8811480000049414,,,,,,,,,,,,,,,,,,,,,,,,,,0.02779999999802385 -1,taxcalc/tests/test_benefits.py::test_benefits,,passed,3902.5216729999956,,,,,,,,,,,,,,,,,,,,,,,,,,-226.010696000003 -2,taxcalc/tests/test_calcfunctions.py::test_calc_and_used_vars,,passed,35.49012400000606,,,,,,,,,,,,,,,,,,,,,,,,,,-2.5312549999796374 -3,taxcalc/tests/test_calcfunctions.py::test_function_args_usage,,passed,1.8604269999968892,,,,,,,,,,,,,,,,,,,,,,,,,,-0.028447000005371592 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2\n]",,passed,415.13847800001713,,,,,,,,,,,,"RECID,MARS,PT_SSTB_income 1, 1, 2 -",,,,,,,,,,,,,,3.3666299999026137 -225,taxcalc/tests/test_records.py::test_for_duplicate_names,,passed,0.8535459999734485,,,,,,,,,,,,,,,,,,,,,,,,,,-0.04406300007531172 -226,taxcalc/tests/test_records.py::test_records_variables_content,,passed,0.6424219999985326,,,,,,,,,,,,,,,,,,,,,,,,,,0.03222699996285883 -227,taxcalc/tests/test_records.py::test_csv_input_vars_md_contents,,passed,0.6573300000241034,,,,,,,,,,,,,,,,,,,,,,,,,,0.00010700006214392488 -228,taxcalc/tests/test_reforms.py::test_2017_law_reform,,passed,4751.594417999968,,,,,,,,,,,,,,,,,,,,,,,,,,-34.601853000026495 -229,taxcalc/tests/test_reforms.py::test_round_trip_reforms[2019],,passed,12839.014559000021,,,,,,,,,,,,,2019.0,,,,,,,,,,,,,-5.220410999867454 -230,taxcalc/tests/test_reforms.py::test_round_trip_reforms[2020],,passed,12800.133754999933,,,,,,,,,,,,,2020.0,,,,,,,,,,,,,7.263064999960989 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