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1. Regression Discontinuity Designs with a Continous Treatment, 2021, Journal of the American Statistical Association (with Ying-Ying Lee and Michael Gou) (Stata code, R code).

2. Regression Discontinuity Designs with Sample Selection,  Journal of Business and Economic Statistics, 2019, 37 (1), 171-185.(Presentation Slides).

3. Alternative Assumptions to Identify LATE in Fuzzy Regression Discontinuity Designs, Oxford Bulletin of Economics and Statistics, 2018, 80 (5). 1020-1027 (Online Appendix, a longer version, Presentation Slides).

4. Testing for Rank Invariance or Similarity in Program Evaluation, The Review of Economics and Statistics, 2018, 100 (1), 78-85 (with Shu Shen, Online Appendices, a longer version, Presentation Slides, data and code).

5. Mandatory Retirement and the Consumption Puzzle: Disentangling Price and Quantity Declines, 2017, Economic Inquiry, 55(4), 1738-58 (with Dennis Yang, Online Appendices).

6. Testing Stability of Regression Discontinuity Models, with Giovanni Cerulli, Arthur Lewbel, and Alexander Poulsen, Advances in Econometrics, 2017, 38, 317-339, in M. Cattaneo , J. C. Escanciano (ed.) Stata module: TED .

7. Identifying the Effect of Changing the Policy Threshold in Regression Discontinuity Models, (Supplemental Online Appendix, Presentation Slides, with Arthur Lewbel, The Review of Economics and Statistics, 2015, 97(5), 1081-1092

8. Regression Discontinuity Applications with Rounding Errors in the Running Variable, (Supplemental Online Appendix, Presentation Slides), Journal of Applied Econometrics, 2015, 30(3), 422-446.

This paper proposes a bias correction formula for the estimated RD LATE. The standard errors for the bias corrected estimate are then obtianed by the Delta method. Alternatively, one can directly bias-correct the polynomial regression terms before estimation, which allows for obtianing the standard errors directly. For this conveneint alternative approach, please see the Online Appendix I to my empirical paper.

9. A Simple Estimator for Binary Choice Models with Endogenous Regressors, Econometric Reviews, 34(1-2), 82-105. (with Arthur Lewbel, Stata module sspecialreg)  

10. How Health Insurance Affects Health Care Demand - A Structural Analysis of Behavioral Moral Hazard and Adverse Selection, Economic Inquiry, 2013, 51(2), 1324-44.

11. Comparing Features of Convenient Estimators for Binary Choice Models With Endogenous Regressors, (with Arthur Lewbel and Thomas Tao Yang) , Canadian Journal of Economics, 2012, 45(3), 809-829.

12. Nonparametric Identification of a Binary Random Factor in Cross Section Data, (with Arthur Lewbel), Journal of Econometrics, 2011, 163(2), 163-171. A longer version with supplemental material

13. Semiparametric Binary Random Effects Models: Estimating Two Types of Drinking Behavior, Economics Letters, 2011, 112(1), 79-81.

14. Kept Back to Get Ahead?  Kindergarten Retention and Academic Performance, European Economic Review, 2010, 54 (2), 219-236.

15. Endogenous Regressor Binary Choice Models Without Instruments, With an Application to Migration, Economics Letters, 2010, 107(1), 33-35. A longer version and the supplemental material

Working Papers

1. Jump or Kink? Regression Probability Jump and Kink Design for Treatment Effect Evaluation

2. When Can We Ignore the Measurement Error in the Running Variable? (with Michal Kolesá), Accepted, Journal of Applied Econometrics.