Data Analysis Case Study codebase for R, Python and Stata

R, Python and Stata code for
Data Analysis for Business, Economics, and Policy
by Gábor Békés (CEU) and Gábor Kézdi (U. Michigan)
Published on 6 May 2021 by Cambridge University Press
gabors-data-analysis.com

How to use

All code available for R, Stata and Python. To see options for various languages, check out:

1. R -- How to run code in R
2. Stata -- How to run code in Stata
3. Python -- How to run code in Python

On the textbook's website, we have detailed discussion of how to set up libraries, get data: Overview of data and code

Status

The Latest release, 0.9.0 "Frank Exchange of Views" was released 14 August 2025.

Overall, the transition to seaborn and pyfixest drove most of the Python‑side evolution, while the R side adopted fixest/marginaleffects. Stata materials remained largely stable, reflecting a focus on modernizing the Python and R components for reproducibility and ease of use. No Julia yet. See detailes in the changelog / release notes.

Organization

1. Each case study has a separate folder.
2. Within case study folders, codes in different languages are simply stored together.
3. Data should be downloaded and stored in a separate folder.

Code language versions

1. R -- We used R 4.0.2.
2. Stata -- We used version 15, allmost all code should work in version 13 up.
3. Python -- We used Python 3.12.0.

Get data

Data is hosted on OSF.io

Get data by datasets

Found an error or have a suggestion?

Awesome, we know there are errors and bugs. Or just much better ways to do a procedure.

To make a suggestion, please open a github issue here with a title containing the case study name. You may also contact us directctly. Cheers!