Robust data-driven inference in the regression-discontinuity design

Stata Journal

Volumn 14, Issue 4, 2014, Pages 909-946

  Calonico, Sebastian ^a   Cattaneo, Matias D ^b   Titiunik, Rocío ^b  

^a UNIVERSITY OF MIAMI   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Bandwidth selection; Bias correction; Fuzzy kink RD; Fuzzy RD; Local polynomials; RD plots; Rdbwselect; Rdplot; Rdrobust; Regression discontinuity (RD); Sharp kink RD; Sharp RD; st0366; Treatment effects

Indexed keywords

EID: 85001085842     PISSN: 1536867X     EISSN: 15368734     Source Type: Journal    
DOI: 10.1177/1536867x1401400413     Document Type: Article

References (23)

1. Abadie, A., and G. W. Imbens. 2006. Large sample properties of matching estimators for average treatment effects. Econometrica 74: 235-267.
2. Calonico, S., M. D. Cattaneo, and M. H. Farrell. 2014. On the effect of bias estimation on coverage accuracy in nonparametric estimation. Working Paper, University of Michigan. http://www-personal.umich.edu/˜cattaneo/papers/Calonico-Cattaneo-Farrell2013wp.pdf.
3. Calonico, S., M. D. Cattaneo, and R. Titiunik. 2014a. Optimal data-driven regression discontinuity plots. Working Paper, University of Michigan. http://www-personal.umich.edu/˜cattaneo/papers/RD-rdplot.pdf.
4. Calonico, S., M. D. Cattaneo, and R. Titiunik. 2014b. rdrobust: An R package for robust inference in regression-discontinuity designs. Working Paper, University of Michigan. http://www-personal.umich.edu/˜cattaneo/papers/Calonico-Cattaneo-Titiunik2014Rpkg.pdf.
5. Calonico, S., M. D. Cattaneo, and R. Titiunik. 2014c. Supplement to Robust nonparametric confidence intervals for regression discontinuity designs. Econometica Supplementary Materials.
6. Calonico, S., M. D. Cattaneo, and R. Titiunik. 2014d. Robust nonparametric confidence intervals for regression-discontinuity designs. Econometrica 82: 2295-2326.
7. Card, D., D. S. Lee, Z. Pei, and A. Weber. 2014. Inference on causal effects in a generalized regression kink design. Working Paper, University of California-Berkeley.
8. Cattaneo, M. D., and M. H. Farrell. 2013. Optimal convergence rates, Bahadur representation, and asymptotic normality of partitioning estimators. Journal of Econometrics 174: 127-143.
9. Cattaneo, M. D., B. Frandsen, and R. Titiunik. Forthcoming. Randomization inference in the regression discontinuity design: An application to party advantages in the U.S. Senate. Journal of Causal Inference.
10. Dinardo, J., and D. S. Lee. 2011. Program evaluation and research designs. In Handbook of Labor Economics, ed. O. Ashenfelter and D. Card, vol. 4A, 463-536. Amsterdam: Elsevier.
11. Dong, Y. 2011. Jumpy or kinky? Regression discontinuity without the discontinuity. Working Paper, University of California-Irvine. http://www.economics.uci.edu/files/economics/docs/workingpapers/2011-2012/dong-07.pdf.
12. Fan, J., and I. Gijbels. 1996. Local Polynomial Modelling and Its Applications. New York: Chapman & Hall/CRC.
13. Hahn, J., P. Todd, and W. Van Der Klaauw. 2001. Identification and estimation of treatment effects with a regression-discontinuity design. Econometrica 69: 201-209.
14. Heckman, J. J., and E. J. Vytlacil. 2007. Econometric evaluation of social programs, part I: Causal models, structural models and econometric policy evaluation. In Handbook of Econometrics, ed. J. J. Heckman and E. Leamer, vol. 6B, 4779-4874. Amsterdam: Elsevier.
15. Imbens, G. W., and K. Kalyanaraman. 2012. Optimal bandwidth choice for the regression discontinuity estimator. Review of Economic Studies 79: 933-959.
16. Imbens, G. W., and T. Lemieux. 2008. Regression discontinuity designs: A guide to practice. Journal of Econometrics 142: 615-635.
17. Imbens, G. W., and J. M. Wooldridge. 2009. Recent developments in the econometrics of program evaluation. Journal of Economic Literature 47: 5-86.
18. Lee, D. S. 2008. Randomized experiments from non-random selection in U.S. House elections. Journal of Econometrics 142: 675-697.
19. Lee, D. S., and T. Lemieux. 2010. Regression discontinuity designs in economics. Journal of Economic Literature 48: 281-355.
20. Ludwig, J., and D. L. Miller. 2007. Does Head Start improve children’s life chances? Evidence from a regression discontinuity design. Quarterly Journal of Economics 122: 159-208.
21. Porter, J. 2003. Estimation in the regression discontinuity model. Working Paper, University of Wisconsin. http://www.ssc.wisc.edu/˜jrporter/regdiscont2003.pdf.
22. Wada, R. 2005. outreg2: Stata module to arrange regression outputs into an illustrative table. Statistical Software Components S456416, Department of Economics, Boston College. http://ideas.repec.org/c/boc/bocode/s456416.html.
23. Wand, M. P., and M. C. Jones. 1995. Kernel Smoothing. New York: Chapman & Hall/CRC.