Changes-In-Changes For Discrete Treatment

2024/11/03 by Onil Boussim, Boussim, Onil
Mathematics · #Econometrics (econ.EM) #FOS: Economics and business #Statistical Methods in Clinical Trials

paper · pdf · doi:10.48550/arxiv.2411.01617

openalex publication_date 2024/11/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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 the original CIC model is well-suited for binary treatments, it cannot accommodate multi-category discrete treatments often found in economic and policy settings. Although recent work has extended CIC to continuous treatments, there remains a gap for multi-category discrete treatments. I introduce a generalized CIC model that adapts the rank invariance assumption to multiple treatment levels, allowing for robust modeling while capturing the distinct effects of varying treatment intensities.

Related

• Non-linear Triple Changes Estimator for Targeted Policies
• An Effective Treatment Approach to Difference-in-Differences with General Treatment Patterns
• Dynamic Local Average Treatment Effects
• Difference-in-Differences Estimators with Continuous Treatments and no Stayers
• Treatment Effects of Multi-Valued Treatments in Hyper-Rectangle Model