Estimation of average treatment effect based on a semiparametric propensity score

References

• Abadie, A., Diamond, A., Hainmueller, J. (2010). Synthetic control methods for comparative case studies: Estimating the effect of california’s tobacco control program. Journal of the American Statistical Association 105(490):493–505. doi:10.1198/jasa.2009.ap08746
   Web of Science ®Google Scholar
• Abadie, A., Gardeazabal, J. (2003). The economic costs of conflict: A case study of the Basque Country. American Economic Review 93(1):113–132. doi:10.1257/000282803321455188
   Web of Science ®Google Scholar
• Abadie, A., Imbens, G. W. (2006). Large sample properties of matching estimators for average treatment effects. Econometrica 74(1):235–267. doi:10.1111/j.1468-0262.2006.00655.x
   Web of Science ®Google Scholar
• Ashenfelter, O. (1978). Estimating the effect of training programs on earnings. The Review of Economics and Statistics 60(1):47–57. doi:10.2307/1924332
   Web of Science ®Google Scholar
• Ashenfelter, O., Card, D. (1985). Using the longitudinal structure of earnings to estimate the effect of training programs. The Review of Economics and Statistics 67(4):648–660. doi:10.2307/1924810
   Web of Science ®Google Scholar
• Athey, S., Imbens, G. W. (2017). The state of applied econometrics: Causality and policy evaluation. Journal of Economic Perspectives 31(2):3–32. doi:10.1257/jep.31.2.3
   PubMed Web of Science ®Google Scholar
• Connors, J., Alfred, F., Speroff, T., Dawson, N. V., Thomas, C., Harrell, J., Frank, E., Wagner, D., Desbiens, N., Goldman, L., Wu, A. W., Califf, R. M., Fulkerson, J., William, J., Vidaillet, H., Broste, S., Bellamy, P., Lynn, J., Knaus, W. A. (1996). The effectiveness of right heart catheterization in the initial care of critically iii patients. JAMA: The Journal of the American Medical Association 276(11):889–897. doi:10.1001/jama.1996.03540110043030
   PubMed Web of Science ®Google Scholar
• Gobillon, L., Magnac, T. (2016). Regional policy evaluation: Interactive fixed effects and synthetic controls. Review of Economics and Statistics 98(3):535–551. doi:10.1162/REST_a_00537
   Web of Science ®Google Scholar
• Hahn, J. (1998). On the role of the propensity score in efficient semiparametric estimation of average treatment effects. Econometrica 66(2):315–331. doi:10.2307/2998560
   Web of Science ®Google Scholar
• Härdle, W., Hall, P., Ichimura, H. (1993). Optimal smoothing in single index models. The Annals of Statistics 21(1):157–178. doi:10.1214/aos/1176349020
   Web of Science ®Google Scholar
• Hirano, K., Imbens, G. W., Ridder, G. (2003). Efficient estimation of average treatment effects using the estimated propensity score. Econometrica 71(4):1161–1189. doi:10.1111/1468-0262.00442
   Web of Science ®Google Scholar
• Hsiao, C., Ching, H., Wan, S. K. (2012). A panel data approach for program evaluation: measuring the benefits of political and economic integration of Hong Kong with mainland China. Journal of Applied Econometrics 27(5):705–740. doi:10.1002/jae.1230
   Web of Science ®Google Scholar
• Ichimura, H. (1993). Semiparametric least squares (sls) and weighted sls estimation of single-index models. Journal of Econometrics 58(1–2):71–120. doi:10.1016/0304-4076(93)90114-K
   Web of Science ®Google Scholar
• Khan, S., Tamer, E. (2010). Irregular identification, support conditions, and inverse weight estimation. Econometrica 78:2021–2042.
   Web of Science ®Google Scholar
• Kim, K. I. (2019). Efficiency of average treatment effect estimation when the true propensity is parametric. Econometrics 7(2):25. doi:10.3390/econometrics7020025
   Web of Science ®Google Scholar
• Li, K. T. (2020). Statistical inference for average treatment effects estimated by synthetic control methods. Journal of the American Statistical Association 115(532):2068–2016. doi:10.1080/01621459.2019.1686986
   Web of Science ®Google Scholar
• Li, K. T., Bell, D. R. (2017). Estimation of average treatment effects with panel data: Asymptotic theory and implementation. Journal of Econometrics 197(1):65–75. doi:10.1016/j.jeconom.2016.01.011
   Web of Science ®Google Scholar
• Li, Q., Racine, J. S., Wooldridge, J. M. (2009). Efficient estimation of average treatment effects with mixed categorical and continuous data. Journal of Business & Economic Statistics 27(2):206–223. doi:10.1198/jbes.2009.0015
   Web of Science ®Google Scholar
• Rosenbaum, P. R., Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika 70(1):41–55. doi:10.1093/biomet/70.1.41
   Web of Science ®Google Scholar
• Song, K. (2014). Semiparametric models with single-index nuisance parameters. Journal of Econometrics 178:471–483. doi:10.1016/j.jeconom.2013.07.004
   Web of Science ®Google Scholar
• Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Sata. 2nd ed. Cambridge, MA: MIT Press.
   Google Scholar
• Xu, Y. (2017). Generalized synthetic control method: Causal inference with interactive fixed effects models. Political Analysis 25(1):57–76. doi:10.1017/pan.2016.2
   Web of Science ®Google Scholar