Skip to content

This repository includes replication code and raw data used in the construction of the Global Macro Database.

License

Notifications You must be signed in to change notification settings

KMueller-Lab/Global-Macro-Database

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

The Global Macro Database

Website Badge

License: CC BY-NC-SA 4.0

Link to paper 📄

This repository complements our paper, Müller, Xu, Lehbib, and Chen (2025), which introduces a panel dataset of 46 macroeconomic variables across 243 countries from historical records beginning in the year 1086 until 2024, including projections through the year 2030.

Features

  • Unparalleled Coverage: Combines data from 32 contemporary sources (e.g., IMF, World Bank, OECD) with 78 historical datasets.
  • Extensive Variables: GDP, inflation, government finance, trade, employment, interest rates, and more.
  • Harmonized Data: Resolves inconsistencies and splices all available data together.
  • Scheduled Updates: Regular releases ensure data reliability.
  • Full Transparency: All code is open source and available in this repository.
  • Accessible Formats: Provided in .dta, .csv, .xlsx, and as a Stata package.

Data access

Download via website

Stata package:

net install gmd, from(http://www.globalmacrodata.com/package)
gmd rGDP, country(FRA)

Release schedule

Release Date Details
2025-01-30 Initial release: v2025-01
2025-04-01 v2025-04
2025-07-01 v2025-09
2025-10-01 v2025-12
2026-01-01 v2026-03

Citation

To cite this dataset, please use the following reference:

@techreport{mueller2025global, 
    title = {The Global Macro Database: A New International Macroeconomic Dataset}, 
    author = {Müller, Karsten and Xu, Chenzi and Lehbib, Mohamed and Chen, Ziliang}, 
    year = {2025}, 
    type = {Working Paper}
}

Acknowledgments

The development of the Global Macro Database would not have been possible without the generous funding provided by the Singapore Ministry of Education (MOE) through the PYP grants (WBS A-0003319-01-00 and A-0003319-02-00), a Tier 1 grant (A-8001749- 00-00), and the NUS Risk Management Institute (A-8002360-00-00). This financial support laid the foundation for the successful completion of this extensive project.

About

This repository includes replication code and raw data used in the construction of the Global Macro Database.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •