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Optimized Inference in Regression Kink Designs

Majed Dodin

arXiv 21 Nov 2021 · Econometrics

arXiv:2111.10713 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We propose a method to remedy finite sample coverage problems and improve upon the efficiency of commonly employed procedures for the construction of nonparametric confidence intervals in regression kink designs. The proposed interval is centered at the half-length optimal, numerically obtained linear minimax estimator over distributions with Lipschitz constrained conditional mean function. Its construction ensures excellent finite sample coverage and length properties which are demonstrated in a simulation study and an empirical illustration. Given the Lipschitz constant that governs how much curvature one plausibly allows for, the procedure is fully data driven, computationally inexpensive, incorporates shape constraints and is valid irrespective of the distribution of the assignment variable.

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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
1Armstrong, Timothy B (2020) Simple and honest confidence intervals in nonparametric regression1.000123100%
2Imbens, Guido, Wager, Stefan (2019) Optimized Regression Discontinuity Designs0.92810480%
3Noack, Claudia, Rothe, Christoph (2019) Bias-Aware Inference in Fuzzy Regression Discontinuity Designs0.89911473%
4Landais, Camille (2015) Assessing the Welfare Effects of Unemployment Benefits Using the Regression Kink Design0.87492100%
5Rothe, Christoph (2018) Inference in Regression Discontinuity Designs with a Discrete Running Variable0.84333100%
6Abadie, Alberto, Imbens, Guido W, Zheng, Fanyin (2014) Inference for Misspecified Models With Fixed Regressors0.81142100%
7Armstrong, Timothy B (2018) Optimal Inference in a Class of Regression Models0.73732100%
8Calonico, Sebastian, Cattaneo, Matias D, Titiunik, Rocio (2014) Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs0.73732100%
9Card, David, Lee, David S, Pei, Zhuan, Weber, Andrea (2015) Inference on Causal Effects in a Generalized Regression Kink Design0.64422100%
10Donoho, David L (1994) Statistical Estimation and Optimal Recovery0.64422100%

Showing the top 10 of 41 scored citations.