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Data used in Causal Inference with Python

By Vitor Kamada

E-mail: econometrics.methods@gmail.com

Last updated 8-15-2020

This repository contains the data used in the book: Causal Inference with Python.

Below are the datasets and reference:

1| Chess.xls

Palacios-Huerta, Ignacio, and Oscar Volij. (2009). Field Centipedes. American Economic Review, 99 (4): 1619-35.

2| lakisha_aer.dta

Bertrand, Marianne, and Sendhil Mullainathan. (2004). Are Emily and Greg More Employable Than Lakisha and Jamal?. A Field Experiment on Labor Market Discrimination. American Economic Review, 94 (4): 991-1013.

3| regdata0.dta

Meyersson, Erik. (2014). Islamic Rule and the Empowerment of the Poor and Pious. Econometrica, 82(1), 229-269.

4| finaldata.dta

Basten, Christoph, and Frank Betz (2013). Beyond Work Ethic: Religion, Individual, and Political Preferences. American Economic Journal: Economic Policy, 5 (3): 67-91. Online Appendix

5| MS_data_all_years_regs.dta

Ziebarth, Nicolas L. (2013). Identifying the Effects of Bank Failures from a Natural Experiment in Mississippi during the Great Depression. American Economic Journal: Macroeconomics, 5 (1): 81-101.

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Data for the book Causal Inference with Python.

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