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Changes-In-Changes For Discrete Treatment

Onil Boussim

arXiv 3 Nov 2024 · Econometrics

arXiv:2411.01617 · PDF · DOI · OpenAlex · Extracted main text

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.

Citation extraction

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1S. Athey and G. W. Imbens (2006) Identification and Inference in Nonlinear Difference-in-Differences Models1.00093100%
2X. D’Haultfuille, S. Hoderlein, and Y. Sasaki (2023) Nonparametric difference-in-differences in repeated cross-sections with continuous treatments0.73732100%
3A. Abadie (2005) Semiparametric difference-in-differences estimators0.40511100%
4B. Callaway, A. Goodman-Bacon, and P. H. Sant'Anna (2024) Difference-in-differences with a continuous treatment0.40511100%
5D. Ghanem, D. Kédagni, and I. Mourifié (2023) Evaluating the impact of regulatory policies on social welfare in difference-in-difference settings0.40511100%

Showing the top 5 of 5 scored citations.