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Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
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README.md
behaghel-dataset-cleaning.ipynb
evals.py
fair_policies.py
run_diagnostics.py
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tpr-monotonicity-sensitivity-diagnostics-smoothed.ipynb
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README.md

interventions-disparate-impact-responders

Replication code for

"Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds"

Code to be better documented and made more user friendly in coming weeks. Contact Angela at az434@cornell.edu for any questions or issues.

Data for Behaghel et al. case study

The Behaghel et al. dataset can be downloaded from: https://www.aeaweb.org/articles?id=10.1257/app.6.4.142. We generate the subset used by adding outsheet using data.csv, comma at line 269 of the Stata dofile (DoFilePrivatePublic.do). Data preparation in behaghel-dataset-cleaning.ipynb.

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