Counterfactual Estimation in Semiparametric Discrete‑Choice Models
Jan 1, 2021·,,·
1 min read
Khai Chiong
Yu‑Wei Hsieh
Matt Shum
Abstract
This chapter discusses methods for counterfactual estimation in semiparametric discrete‑choice models, providing tools for policy analysis when preferences are only partially identified.
Type
Publication
In Handbook of Research Methods and Applications in Empirical Microeconomics, Edward Elgar Publishers, 2021
In this book chapter, Chiong, Hsieh, and Shum examine counterfactual estimation techniques for semiparametric discrete‑choice models. They show how to obtain policy‑relevant counterfactuals when only partial information about preferences is available, illustrating the methods with examples from industrial organization.