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Nonparametric identification and estimation of dynamic treatment effects for survival data in a regression discontinuity design

Author

Listed:
  • Lv, Xiaofeng
  • Sun, Xu-Ran
  • Lu, Yue
  • Li, Rui

Abstract

Treatment assignment in the survival literature is often assumed to be allocated simultaneously and independently of prospective treatment gains. This paper relaxes these restrictions by introducing dynamic treatment assignment for survival data in a regression discontinuity design. Conditional on a pretreatment duration, we identify two survival functions of the remaining potential durations under treatment and no treatment. Conditional treatment effects can be identified by the difference between the integrals of the two functions, and we aggregate conditional treatment effects over pretreatment durations to identify unconditional ones. Accordingly, nonparametric estimates are proposed.

Suggested Citation

  • Lv, Xiaofeng & Sun, Xu-Ran & Lu, Yue & Li, Rui, 2019. "Nonparametric identification and estimation of dynamic treatment effects for survival data in a regression discontinuity design," Economics Letters, Elsevier, vol. 184(C).
    • Handle: RePEc:eee:ecolet:v:184:y:2019:i:c:s0165176519303325
    DOI: 10.1016/j.econlet.2019.108665
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    References listed on IDEAS

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    1. Besedes, Tibor & Prusa, Thomas J., 2006. "Product differentiation and duration of US import trade," Journal of International Economics, Elsevier, vol. 70(2), pages 339-358, December.
    2. Blundell, Richard & Powell, James L., 2007. "Censored regression quantiles with endogenous regressors," Journal of Econometrics, Elsevier, vol. 141(1), pages 65-83, November.
    3. Fredriksson, Peter & Johansson, Per, 2008. "Dynamic Treatment Assignment," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 435-445.
    4. Cook, Thomas D., 2008. ""Waiting for Life to Arrive": A history of the regression-discontinuity design in Psychology, Statistics and Economics," Journal of Econometrics, Elsevier, vol. 142(2), pages 636-654, February.
    5. Frolich, Markus, 2007. "Nonparametric IV estimation of local average treatment effects with covariates," Journal of Econometrics, Elsevier, vol. 139(1), pages 35-75, July.
    6. Yi Lu Jr. & Linhui Yu Jr., 2015. "Trade Liberalization and Markup Dispersion: Evidence from China's WTO Accession," American Economic Journal: Applied Economics, American Economic Association, vol. 7(4), pages 221-253, October.
    7. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    8. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    9. Jaap H. Abbring & Gerard J. van den Berg, 2003. "The Nonparametric Identification of Treatment Effects in Duration Models," Econometrica, Econometric Society, vol. 71(5), pages 1491-1517, September.
    10. Choi, Jin-young & Lee, Myoung-jae, 2018. "Regression Discontinuity with Multiple Running Variables Allowing Partial Effects," Political Analysis, Cambridge University Press, vol. 26(3), pages 258-274, July.
    11. Brigham R. Frandsen, 2015. "Treatment Effects With Censoring and Endogeneity," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1745-1752, December.
    12. Choi, Jin-young & Lee, Myoung-jae, 2018. "Minimum distance estimator for sharp regression discontinuity with multiple running variables," Economics Letters, Elsevier, vol. 162(C), pages 10-14.
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    Cited by:

    1. Matias D. Cattaneo & Rocío Titiunik, 2022. "Regression Discontinuity Designs," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 821-851, August.

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    More about this item

    Keywords

    Nonparametric identification; Treatment effects; Regression discontinuity; Survival analysis; Dynamic treatment assignment;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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