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

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

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

The Latest release v0.8.2 (aka " Very Little Gravitas Indeed" is available as of 21 March 2022.
There will be additional minor bugfixes, edits, and v1.0.0 expected later.

1. R -- All code arw ready. Used for graphs in textbook. An environment with all librariries necessary, as renv is now available.
2. Stata -- All code are ready. In the lack of native machine learning capabilities, no code for chapters 15,16,17, some limitations for chapter 18. This shall change, once we test the new python link-ups. Only planned for version v1.1.0 expected late 2021.
3. Python -- All all codes are ready. Some minor diff to book due to variation in akgos, An environment with all librariries necessary, as pipenv is available.

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.

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 3.8.0.

Data is hosted on OSF.io

Get data by datasets

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!