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MSE-Optimal Difference-in-Differences Estimator

Yamato Igarashi

arXiv 6 May 2026 · Econometrics

arXiv:2605.05056 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This paper develops a difference-in-differences (DiD) estimation method that selects the optimal length of pre-trends by minimizing the mean squared error (MSE). Conventional DiD regression models, such as the two-way fixed effects model or the event study model, may suffer from accuracy and validity concerns. If the sample size is small, the estimator may have a larger variance. Also, pre-tests often lack power to detect violations of the parallel trends assumption as Roth (2022) highlights. By focusing on the bias and variance tradeoff, the proposed method derives the MSE-optimal estimator from the optimal length of pre-trends. Simulation results and an empirical application demonstrate the practical applicability of the proposed method.

Citation extraction

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appendix boundary found by appendix_command · 93% of the source is main text. Read the extracted text to check this.

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
1Roth, J (2022) Pretest with caution: Event-study estimates after testing for parallel trends0.92843100%
2Fitzpatrick, M. D. and Lovenheim, M. F (2014) Early retirement incentives and student achievement0.51121100%
*unmatched citation key *0.40511100%
4Baker, A. C. and Larcker, D. F. and Wang, C. C (2022) How much should we trust staggered difference-in-differences estimates?0.40511100%
5Baker, A. C. and Callaway, B. and Cunningham, S. and Goodman-Bacon,… Difference-in-Differences Designs: A Practitioner's Guide0.40511100%
6Butts, K (2023) Difference-in-Differences Estimation with Spatial Spillovers0.40511100%
7Callaway, B. and Sant'Anna, P. H (2021) Difference-in-differences with multiple time periods0.40511100%
8Calonico, S. and Cattaneo, M. D. and Titiunik, R (2014) Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs0.40511100%
9Card, D. and Krueger, A. B (1994) Minimum wages and employment: A case study of the fast-food industry in New Jersey and Pennsylvania0.40511100%
10Egami, N. and Yamauchi, S (2023) Using multiple pretreatment periods to improve difference-in-differences and staggered adoption designs0.40511100%

Showing the top 10 of 19 scored citations. 1 of these could not be matched to a bibliography entry, so only the citation key is shown.