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Donut Regression Discontinuity Designs

Cladia Noack, Chistoph Rothe

arXiv 28 Aug 2023 · Econometrics · 4 citations (OpenAlex)

arXiv:2308.14464 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We study the econometric properties of so-called donut regression discontinuity (RD) designs, a robustness exercise which involves repeating estimation and inference without the data points in some area around the treatment threshold. This approach is often motivated by concerns that possible systematic sorting of units, or similar data issues, in some neighborhood of the treatment threshold might distort estimation and inference of RD treatment effects. We show that donut RD estimators can have substantially larger bias and variance than contentional RD estimators, and that the corresponding confidence intervals can be substantially longer. We also provide a formal testing framework for comparing donut and conventional RD estimation results.

Citation extraction

11
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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, T. and M. Kolesár (2018) Optimal inference in a class of regression models0.92844100%
2Kolesár, M. and C. Rothe (2018) Inference in Regression Discontinuity Designs with a Discrete Running Variable0.84333100%
3Armstrong, T. and M. Kolesár (2020) Simple and honest confidence intervals in nonparametric regression0.64422100%
4Barreca, A. I., M. Guldi, J. M. Lindo, and G. R. Waddell (2011) Saving babies? Revisiting the effect of very low birth weight classification0.51121100%
5Abadie, A. and G. W. Imbens (2006) Large Sample Properties of Matching Estimators for Average Treatment Effects0.40511100%
6Abadie, A., G. W. Imbens, and F. Zheng (2014) Inference for misspecified models with fixed regressors0.40511100%
7Almond, D., J. J. Doyle Jr, A. E. Kowalski, and H. Williams (2010) Estimating marginal returns to medical care: Evidence from at-risk newborns0.40511100%
8Calonico, S., M. D. Cattaneo, and R. Titiunik (2014) Robust nonparametric confidence intervals for regression-discontinuity designs0.40511100%
9Fan, J. and I. Gijbels (1996) Local polynomial modelling and its applications0.40511100%
10Hahn, J., P. Todd, and W. Van der Klaauw (2001) Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design0.40511100%

Showing the top 10 of 11 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Correcting invalid regression discontinuity designs with multiple time period data0.40511