Matias D. Cattaneo, Rocio Titiunik, Gonzalo Vazquez-Bare
arXiv 10 Jun 2019 · Econometrics · publishedAnnual Review of Economics (2022) · 33 citations (OpenAlex)
arXiv:1906.04242 · PDF · DOI · OpenAlex · Extracted main text
This handbook chapter gives an introduction to the sharp regression discontinuity design, covering identification, estimation, inference, and falsification methods.
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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 | height .65ex depth -.6ex width 3em\ (2017) Comparing Inference Approaches for RD Designs: A Reexamination of the Effect of Head Start on Child Mortality | 1.000 | 10 | 5 | 100% |
| 2 | height .65ex depth -.6ex width 3em\ (2020) a) | 1.000 | 6 | 4 | 100% |
| 3 | Cattaneo, M. D., Idrobo, N., and Titiunik, R (2019) A Practical Introduction to Regression Discontinuity Designs: Foundations self | 0.928 | 4 | 4 | 100% |
| 4 | Cattaneo, M. D., Titiunik, R., and Vazquez-Bare, G (2016) b), Inference in Regression Discontinuity Designs under Local Randomization self | 0.737 | 3 | 2 | 100% |
| 5 | Imbens, G., and Rubin, D. B (2015) Causal Inference in Statistics, Social, and Biomedical Sciences | 0.737 | 3 | 2 | 100% |
| 6 | Thistlethwaite, D. L., and Campbell, D. T (1960) Regression-discontinuity Analysis: An Alternative to the Ex-Post Facto Experiment | 0.737 | 3 | 2 | 100% |
| 7 | Cattaneo, M. D., Frandsen, B., and Titiunik, R (2015) Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S self | 0.693 | 5 | 1 | 100% |
| 8 | height .65ex depth -.6ex width 3em\ (2015) a), Optimal Data-Driven Regression Discontinuity Plots | 0.644 | 2 | 2 | 100% |
| 9 | height .65ex depth -.6ex width 3em\ (2020) b), Simple Local Polynomial Density Estimators | 0.644 | 2 | 2 | 100% |
| 10 | Hyytinen, A., Meriläinen, J., Saarimaa, T., Toivanen, O., and Tukiai… (2018) When does regression discontinuity design work? Evidence from random election outcomes | 0.644 | 2 | 2 | 100% |
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