6 papers
Compositional Synthetic Controls
Onil Boussim
This paper develops a synthetic control estimator for compositional outcomes, vectors of shares generated by an underlying categorical process. Derived from a random utility model…
Correcting Sample Selection Bias in PISA Rankings
Onil Boussim
This paper proposes a method to account for sample selection (survivor bias) in cross-country comparisons. International assessments such as the Programme for International Student…
Compositional difference-in-differences
Onil Boussim
Many causal questions concern vectors of quantities across mutually exclusive categories, votes by party, employment by status, generation by energy source, where both the shares a…
Correcting sample selection bias with categorical outcomes
Onil Boussim
In this paper, I propose a method for correcting sample selection bias when the outcome of interest is categorical, such as occupational choice, health status, or field of study. C…
Identifying treatment effects on categorical outcomes in IV models
Onil Boussim
This paper provides a nonparametric framework for causal inference with categorical outcomes under binary treatment and binary instrument settings. I decompose the observed joint p…
Changes-In-Changes For Discrete Treatment
Onil Boussim
This paper generalizes the changes-in-changes (CIC) model to handle discrete treatments with more than two categories, extending the binary case of Athey and Imbens (2006). While t…