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Citations for "Sensitivity of propensity score methods to the specifications"

by Zhao, Zhong

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  1. Arpino, Bruno & Mealli, Fabrizia, 2011. "The specification of the propensity score in multilevel observational studies," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1770-1780, April.
  2. Deng, Xiangzheng & Huang, Jikun & Uchida, Emi & Rozelle, Scott & Gibson, John, 2011. "Pressure cookers or pressure valves: Do roads lead to deforestation in China?," Journal of Environmental Economics and Management, Elsevier, vol. 61(1), pages 79-94, January.
  3. Michalek, Jerzy & Ciaian, Pavel & Kancs, d'Artis, 2013. "Firm-Level Evidence Of Deadweight Loss Of Investment Support Policies: A Case Study Of Dairy Farms In Schleswig-Holstein," Proceedings Issues, 2013: Productivity and Its Impacts on Global Trade, June 2-4, 2013. Seville, Spain 152257, International Agricultural Trade Research Consortium.
  4. Gerardo Esquivel Hernández & Juan Luis Ordaz-Díaz, 2008. "¿Es la política social una causa de la informalidad en México?," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(1), pages 1-32, May.
  5. Borra, Cristina & Iacovou, Maria & Sevilla, Almudena, 2012. "The Effect of Breastfeeding on Children's Cognitive and Noncognitive Development," IZA Discussion Papers 6697, Institute for the Study of Labor (IZA).
  6. Martin Huber, 2010. "Testing for covariate balance using quantile regression and resampling methods," University of St. Gallen Department of Economics working paper series 2010 2010-18, Department of Economics, University of St. Gallen.
  7. Khundi, Fydess & Jagger, Pamela & Shively, Gerald & Sserunkuuma, Dick, 2011. "Income, poverty and charcoal production in Uganda," Forest Policy and Economics, Elsevier, vol. 13(3), pages 199-205, March.
  8. Currie, Janet & Tekin, Erdal, 2006. "Does Child Abuse Cause Crime?," IZA Discussion Papers 2063, Institute for the Study of Labor (IZA).
  9. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2010. "How to Control for Many Covariates? Reliable Estimators Based on the Propensity Score," IZA Discussion Papers 5268, Institute for the Study of Labor (IZA).
  10. Daniel Millimet & Rusty Tchernis, 2006. "On the Specification of Propensity Scores: with an Application to the WTO-Environment Debate," Caepr Working Papers 2006-013, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington.
  11. Jia, Xiangping, 2009. "Synergistic Green and White Revolution: Evidence from Kenya and Uganda," 2009 Conference, August 16-22, 2009, Beijing, China 51367, International Association of Agricultural Economists.
  12. Dante Contreras & Pablo Egaña & Juan Pablo Valenzuela, 2010. "Efectos de las actividades artísticas en el desarrollo de habilidades cognitivas y no cognitivas en estudiantes vulnerables: El caso de la orquesta de Curanilahue," Working Papers wp325, University of Chile, Department of Economics.
  13. Apps, Patricia & Mendolia, Silvia & Walker, Ian, 2012. "The Impact of Pre-school on Adolescents' Outcomes: Evidence from a Recent English Cohort," IZA Discussion Papers 6971, Institute for the Study of Labor (IZA).
  14. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
  15. Ulf Rinne & Arne Uhlendorff & Zhong Zhao, 2013. "Vouchers and caseworkers in training programs for the unemployed," Empirical Economics, Springer, vol. 45(3), pages 1089-1127, December.
  16. Lechner, Michael & Melly, Blaise, 2007. "Earnings Effects of Training Programs," CEPR Discussion Papers 6400, C.E.P.R. Discussion Papers.
  17. Steven Lehrer & Gregory Kordas, 2013. "Matching using semiparametric propensity scores," Empirical Economics, Springer, vol. 44(1), pages 13-45, February.
  18. Bruno Arpino & Arnstein Aassve, 2013. "Estimating the causal effect of fertility on economic wellbeing: data requirements, identifying assumptions and estimation methods," Empirical Economics, Springer, vol. 44(1), pages 355-385, February.
  19. Gimenez-Nadal, J. Ignacio & Molina, José Alberto, 2015. "Commuting Time and Household Responsibilities: Evidence Using Propensity Score Matching," IZA Discussion Papers 8794, Institute for the Study of Labor (IZA).
  20. Phuong Nguyen-Hoang, 2012. "Fiscal effects of budget referendums: evidence from New York school districts," Public Choice, Springer, vol. 150(1), pages 77-95, January.
  21. Cristina Borra & Almudena Sevilla & Jonathan Gershuny, 2013. "Calibrating Time-Use Estimates for the British Household Panel Survey," Social Indicators Research, Springer, vol. 114(3), pages 1211-1224, December.
  22. Nguyen Viet, Cuong, 2012. "Selection of Control Variables in Propensity Score Matching: Evidence from a Simulation Study," MPRA Paper 36377, University Library of Munich, Germany.
  23. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
  24. Wang-Sheng Lee, 2013. "Propensity score matching and variations on the balancing test," Empirical Economics, Springer, vol. 44(1), pages 47-80, February.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.