Matias D. Cattaneo, Luke Keele, Rocio Titiunik, Gonzalo Vazquez-Bare
arXiv 13 Aug 2018 · Econometrics · publishedJournal of the American Statistical Association (2020) · 12 citations (OpenAlex)
arXiv:1808.04416 · PDF · DOI · OpenAlex · Extracted main text
In non-experimental settings, the Regression Discontinuity (RD) design is one of the most credible identification strategies for program evaluation and causal inference. However, RD treatment effect estimands are necessarily local, making statistical methods for the extrapolation of these effects a key area for development. We introduce a new method for extrapolation of RD effects that relies on the presence of multiple cutoffs, and is therefore design-based. Our approach employs an easy-to-interpret identifying assumption that mimics the idea of "common trends" in difference-in-differences designs. We illustrate our methods with data on a subsidized loan program on post-education attendance in Colombia, and offer new evidence on program effects for students with test scores away from the cutoff that determined program eligibility.
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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.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Cattaneo, M. D., Keele, L., Titiunik, R., and Vazquez-Bare, G (2016) Interpreting Regression Discontinuity Designs with Multiple Cutoffs self | 1.000 | 7 | 4 | 100% |
| 2 | Calonico, S., Cattaneo, M. D., and Farrell, M. H (2018) On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference self | 1.000 | 5 | 3 | 100% |
| 3 | Calonico, S., Cattaneo, M. D., and Titiunik, R (2014) Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs self | 0.928 | 4 | 3 | 100% |
| 4 | Melguizo, T., Sanchez, F., and Velasco, T (2016) Credit for Low-Income Students and Access to and Academic Performance in Higher Education in Colombia: A Regression Discontinuit… | 0.874 | 6 | 2 | 100% |
| 5 | Calonico, S., Cattaneo, M. D., and Farrell, M. H (2020) a), Coverage Error Optimal Confidence Intervals for Local Polynomial Regression self | 0.843 | 3 | 3 | 100% |
| 6 | Calonico, S., Cattaneo, M. D., Farrell, M. H., and Titiunik, R (2017) rdrobust: Software for Regression Discontinuity Designs self | 0.811 | 4 | 2 | 100% |
| 7 | Cattaneo, M. D., Titiunik, R., and Vazquez-Bare, G (2017) Comparing Inference Approaches for RD Designs: A Reexamination of the Effect of Head Start on Child Mortality self | 0.737 | 3 | 2 | 100% |
| 8 | height .65ex depth -.6ex width 3em\ (2019) b), Regression Discontinuity Designs using Covariates | 0.644 | 2 | 2 | 100% |
| 9 | Calonico, S., Cattaneo, M. D., and Farrell, M. H (2019) a), nprobust: Nonparametric Kernel-Based Estimation and Robust Bias-Corrected Inference self | 0.644 | 2 | 2 | 100% |
| 10 | height .65ex depth -.6ex width 3em\ (2020) b), Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs | 0.644 | 2 | 2 | 100% |
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