1,821
Views
22
CrossRef citations to date
0
Altmetric
Articles

Regression Discontinuity Designs With Sample Selection

Pages 171-186 | Received 01 Mar 2016, Published online: 08 Aug 2017

References

  • Ahn, H., and Powell, J. L. (1993), “Semiparametric Estimation of Censored Selection Models With a Nonparametric Selection Mechanism,” Journal of Econometrics, 58, 3–29.
  • Andrews, D. W. K., and Schafgans, M. (1998), “Semiparametric Estimation of the Intercept of a Sample Selection Model,” Review of Economic Studies, 65, 497–517.
  • Angrist, J. D. (2001), “Estimation of Limited Dependent Variable Models With Dummy Endogenous Regressors: Simple Strategies for Empirical Practice,” Journal of Business & Economic Statistics, 19, 2–16.
  • Angrist, J. D., Imbens, G., and Rubin, D. (1996), “Identification of Causal Effects Using Instrumental Variables,” Journal of the American Statistical Association, 91, 444–455.
  • Bertanha, M. (2016), “Regression Discontinuity Design With Many Thresholds,” Working Paper.
  • Blanco, G., Flores, C. A., and Flores-Lagunes, A. (2013), “The Effects of Job Corps Training on Wages of Adolescents and Young Adults,” American Economic Review: P&P, 103, 418–422.
  • Calonico, S., Cattaneo, M. D., and Titiunik, R. (2014), “Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs,” Econometrica, 82, 2295–2326.
  • Cattaneo, M. D., Jansson, M., and Ma, X. (2016), “Simple Local Regression Distribution Estimators With an Application to Manipulation Testing,” Working paper.
  • Chen, X., and Flores, C. A. (2014), “Bounds on Treatment Effects in the Presence of Sample Selection and Noncompliance: The Wage Effects of Job Corps,” Working Paper.
  • Das, M., Newey, W. K., and Vella, F. (2003), “Nonparametric Estimation of Sample Selection Models,” Review of Economic Studies, 70, 33–58.
  • De Chaisemartin, C. (2014), “Tolerating Defiance? Local Average Treatment Effects without Monotonicity,” working paper.
  • Dong, Y. (2016), “An Alternative Assumption to Identify LATE in Regression Discontinuity Models,” working paper.
  • Dong, Y., and Shen, S. (2016), “Testing for Rank Invariance or Similarity in Program Evaluation,” working paper.
  • Fletcher, J. M., and Tokmouline, M. (2010), “The Effects of Academic Probation on College Success: Lending Students a Hand or Kicking Them While They are Down,” working paper.
  • Frandsen, R. B. (2015), “Treatment Effects With Censoring and Endogeneity,” Journal of the American Statistical Association, 110, 1745–1752.
  • Frandsen, B. R., Frölich, M., and Melly, B. (2012), “Quantile Treatment Effects in the Regression Discontinuity Design,” Journal of Econometrics, 168, 382–395.
  • Frangakis, C. E., and Rubin, D. B. (2002), “Principal Stratification and Causal Inference,” Biometrics, 58, 21–29.
  • Hahn, J., Todd, P., and van der Klaauw, W. (2001), “Identification and Estimation of Treatment Effects With a Regression-Discontinuity Design,” Econometrica, 69, 201–209.
  • Heckman, J. J. (1979), “Sample Selection Bias as a Specification Error,” Econometrica, 47, 153–161.
  • ——— (1990), “Varieties of Selection Bias,” American Economic Review, P&P, 80, 313–318.
  • Heckman, J. J., Smith, J., and Clements, N. (1997), “Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts,” Review of Economic Studies, 64, 487–535.
  • Horowitz, J. L., and Manski, C. F. (1995), “Identification and Robustness With Contaminated and Corrupted Data,” Econometrica, 63, 281–302.
  • ——— (2000), “Nonparametric Analysis of Randomized Experiments with Missing Covariate and Outcome Data,” Journal of the American Statistical Association, 95, 77–84.
  • Imai, K. (2008), “Sharp Bounds on the Causal Effects in Randomized Experiments With” Truncation-by-Death,” Statistics and Probability Letters, 78, 144–149.
  • Imbens, G. W., and Kalyanaraman, K. (2012), “Optimal Bandwidth Choice for the Regression Discontinuity Estimator,” Review of Economic Studies, 79, 933–959.
  • Imbens, G. W., and Manski, C. F. (2004), “Confidence Intervals for Partially Identified Parameters,” Econometrica, 72, 1845–1857.
  • Keele, L. J., and Titiunik, R. (2015), “Geographic Boundaries as Regression Discontinuities,” Political Analysis, 23, 127–155.
  • Kim, B. M. (2012), “Do Developmental Mathematics Courses Develop the Mathematics?” working paper.
  • Kitigawa, T. (2015), “A Test for Instrument Validity,” Econometrica, 83, 2043–2063.
  • Lee, D. S. (2008), “Randomized Experiments From Non-Random Selection in U.S. House Elections,” Journal of Econometrics, 142, 675–697.
  • ——— (2009), “Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects,” Review of Economic Studies, 76, 1071–1102.
  • Lewbel, A. (2007), “Endogenous Selection or Treatment Model Estimation,” Journal of Econometrics, 141, 777–806.
  • Lindo, M. J., Sanders, N. J., and Oreopoulos, P. (2010), “Ability, Gender, and Performance Standards: Evidence From Academic Probation,” American Economic Journal: Applied Economics, 2, 95–117.
  • McCrary, J. (2008), “Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test,” Journal of Econometrics, 142, 698–714.
  • McCrary, J., and Royer, H. (2011), “The Effect of Female Education on Fertility and Infant Health: Evidence from School Entry Policies Using Exact Date of Birth,” American Economic Review, 101, 158–195.
  • Martorell, P., and McFarlin, I., Jr. (2011), “Help or Hindrance? The Effects of College Remediation on Academic and Labor Market Outcomes,” Review of Economics and Statistics, 93, 436–454.
  • Staub, E. K. (2014), “A Causal Interpretation of Extensive and Intensive Margin Effects in Generalized Tobit Models,” Review of Economics and Statistics, 96, 371–375.
  • Stoye, J. (2009), “More on Confidence Intervals for Partially Identified Parameters,” Econometrica, 77, 1299–1315.
  • Vytlacil, E. (2002), “Independence, Monotonicity, and Latent Index Models: An Equivalence Result,” Econometrica, 70, 331–341.
  • Zhang, J. L., and Rubin, D. B. (2003), “Estimation of Causal Effects via Principle Stratification When Some Outcomes are Truncated by “Death”,” Journal of Educational Behavioral Statistics, 28, 353–368.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.