Replication Files for Universal Difference-in-Differences for Causal Inference in Epidemiology (Tchetgen Tchetgen, Park, Richardson, Epidemiology, 2023+)

This Github repository contains replication files for Universal Difference-in-Differences (UDiD) for Causal Inference in Epidemiology (Tchetgen Tchetgen, Park, Richardson, 2023).

Data

The dataset contains birth rate information from 603 municipalities in two states of Brazil, Pernambuco and Rio Grande do Sul. Municipality-level birth rates were measured in 2014 and 2016, before and after the 2015 Zika virus outbreak. More details on the source of the dataset are given below:

• Pre- and Post-treatment Outcomes, Treatment, and log population: zika_Table2.tab in https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ENG0IY. See Taddeo, Amorim, Aquino (2022) for details.
• log population density and proportion of female: https://www.ibge.gov.br/en/statistics/social/income-expenditure-and-consumption/18391-2010-population-census.html?=&t=resultados

Code

• Brazil_Zika.R replicates the main analysis in Section 4 and Assessment of Covariate Distribution Invariance in Section A.10 of the Appendix.
• UDID.R contains functions used in Brazil_Zika.R

References

Taddeo, Amorim, Aquino (2022) Causal Measures Using Generalized Difference-in-difference Approach with Nonlinear Models, Statistics and Its Interface, 15(4):399-413 [link]

Tchetgen Tchetgen, Park, Richardson (2023+) Universal Difference-in-Differences for Causal Inference in Epidemiology, Epidemiology (In Press) [arXiv link]