A Jupyter kernel for Stata. Works with Windows, macOS, and Linux.
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Updated
Apr 12, 2024 - Python
Stata is a general-purpose statistical software package used for data analysis, data management, and graphics. The software is available in both command-line and graphical user interface versions, and it is known for its flexibility and scalability. Stata can handle large datasets and offers a wide range of statistical procedures, including descriptive statistics, inferential statistics, and advanced econometrics. Additionally, it has strong data management capabilities, making it a popular choice for data cleaning and preparation tasks. Stata has a large community of users and developers who have created a vast collection of user-written commands and programs that extend its functionality.
A Jupyter kernel for Stata. Works with Windows, macOS, and Linux.
Econometrics and data manipulation functions.
Plugin that adds support for Stata 11–15 for Sublime Text 2 and 3
Let LLM help you achieve your regression with Stata: AI-Powered Stata Code Generation & Regression Analysis.
This repository contains a collection of functions to evaluate investment strategies regarding multiple testing concerns.
Sublime Text package for Stata (improved syntax, snippets, and shortcuts)
An introduction to database and data management in empirical finance
🧠 Growth dynamics of untreated meningiomas
A machine learning–based package for transforming text into instrumental variables (IV).
Transform, query, and merge tabular files with the expressionable command-line tool. This tool is used primarily for gene-expression data.
Flask microservice that serves as the runtime engine behind the OpenStata ecosystem. Takes compiled input and datasets, and runs econometric analysis.
Microservice that snags variable metadata from popular statistical software files.
High-performance distributed translation system for large multilingual datasets using PySpark and OpenAI. Supports caching, checkpointing, and metadata-preserving Stata translation.
The repository is a duplicate of the local folder which contains codes created by Yuanzhan Gao (yg8ch@virginia.edu) to conduct scaled fuzzy matching procedure on EIDL and PPP dataset. Please see the README file for more information.
This tool enables the automatic screening of control variables to adjust the significance of specific variables, similar to Stata's 'oneclick' command, while offering enhanced functionality.
Created by StataCorp