optic: Simulation Tool for Causal Inference Using Longitudinal Data
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Updated
Apr 1, 2025 - R
optic: Simulation Tool for Causal Inference Using Longitudinal Data
Difference-in-Differences to identify the causal effect of NPIs during Covid-19: evidence from Denmark and Sweden
We replicated some of the main results of "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania" by David Card and Alan Krueger (AER 1994).
Applying Difference-in-difference to the World Bank Climate aid allocation in Latin America. What has changed after the Escazu Agreement in 2018?
This repo contains a GBQ script that pulls, cleans, and aggregates data of a hybrid experiment (AB & diff-in-diff). The R script contains a logic that analyzes the performance and significance of the results according to key success metrics
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