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Estimating Marginal Treatment Effects in Heterogeneous Populations

Citations

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Cited by:

  1. Xiang Zhou & Yu Xie, 2016. "Propensity Score–based Methods Versus MTE-based Methods in Causal Inference," Sociological Methods & Research, , vol. 45(1), pages 3-40, February.
  2. Tymon S{l}oczy'nski, 2018. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," Papers 1810.01576, arXiv.org, revised May 2020.
  3. Sasaki, Yuya & Ura, Takuya, 2023. "Estimation and inference for policy relevant treatment effects," Journal of Econometrics, Elsevier, vol. 234(2), pages 394-450.
  4. Adriana Camacho & JuliÔøΩn Messina & Juan Pablo Uribe, 2017. "The Expansion of Higher Education in Colombia: Bad Students or Bad Programs?," Documentos CEDE 15352, Universidad de los Andes, Facultad de Economía, CEDE.
  5. Rentocchini, Francesco & D'Este, Pablo & Manjarrés-Henríquez, Liney & Grimaldi, Rosa, 2014. "The relationship between academic consulting and research performance: Evidence from five Spanish universities," International Journal of Industrial Organization, Elsevier, vol. 32(C), pages 70-83.
  6. Sloczynski, Tymon, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," IZA Discussion Papers 11866, IZA Network @ LISER.
  7. Sarrias, Mauricio, 2021. "A two recursive equation model to correct for endogeneity in latent class binary probit models," Journal of choice modelling, Elsevier, vol. 40(C).
  8. Carneiro, Pedro & Lee, Sokbae, 2009. "Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality," Journal of Econometrics, Elsevier, vol. 149(2), pages 191-208, April.
  9. John Engberg & Dennis Epple & Jason Imbrogno & Holger Sieg & Ron Zimmer, 2009. "Estimation of Causal Effects in Experiments with Multiple Sources of Noncompliance," NBER Working Papers 14842, National Bureau of Economic Research, Inc.
  10. Yuya Sasaki & Takuya Ura, 2018. "Estimation and Inference for Policy Relevant Treatment Effects," Papers 1805.11503, arXiv.org, revised Jul 2020.
  11. Bernhard Eckwert & Itzhak Zilcha, 2020. "The role of colleges within the higher education sector," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 69(2), pages 315-336, March.
  12. Belskaya, Olga & Peter, Klara Sabirianova & Posso, Christian, 2014. "College Expansion and the Marginal Returns to Education: Evidence from Russia," IZA Discussion Papers 8735, IZA Network @ LISER.
  13. Ivar Kolstad & Arne Wiig, 2015. "Education and entrepreneurial success," Small Business Economics, Springer, vol. 44(4), pages 783-796, April.
  14. Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2011. "Estimating Marginal Returns to Education," American Economic Review, American Economic Association, vol. 101(6), pages 2754-2781, October.
  15. Sylvain Chassang & Gerard Padro I Miquel & Erik Snowberg, 2012. "Selective Trials: A Principal-Agent Approach to Randomized Controlled Experiments," American Economic Review, American Economic Association, vol. 102(4), pages 1279-1309, June.
  16. Mogstad, Magne & Torgovitsky, Alexander & Walters, Christopher R., 2024. "Policy evaluation with multiple instrumental variables," Journal of Econometrics, Elsevier, vol. 243(1).
  17. John Engberg & Dennis Epple & Jason Imbrogno & Holger Sieg & Ron Zimmer, 2014. "Evaluating Education Programs That Have Lotteried Admission and Selective Attrition," Journal of Labor Economics, University of Chicago Press, vol. 32(1), pages 27-63.
  18. Kolstad, Ivar & Wiig, Arne & Moazzem, Khondaker Golam, 2014. "Returns to education among entrepreneurs in Bangladesh," Journal of Asian Economics, Elsevier, vol. 34(C), pages 54-65.
  19. Magne Mogstad & Andres Santos & Alexander Torgovitsky, 2018. "Using Instrumental Variables for Inference About Policy Relevant Treatment Parameters," Econometrica, Econometric Society, vol. 86(5), pages 1589-1619, September.
  20. Caio Waisman & Brett R. Gordon, 2023. "Multicell experiments for marginal treatment effect estimation of digital ads," Papers 2302.13857, arXiv.org, revised Apr 2025.
  21. Shao-Hsun Keng & Chun-Hung Lin & Peter F. Orazem, 2017. "Expanding College Access in Taiwan, 1978-2014: Effects on Graduate Quality and Income Inequality," Journal of Human Capital, University of Chicago Press, vol. 11(1), pages 1-34.
  22. Pedro Carneiro & Sokbae Lee, 2011. "Trends in Quality-Adjusted Skill Premia in the United States, 1960-2000," American Economic Review, American Economic Association, vol. 101(6), pages 2309-2349, October.
  23. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
  24. Gong, Jie & Lu, Yi & Xie, Huihua, 2020. "The average and distributional effects of teenage adversity on long-term health," Journal of Health Economics, Elsevier, vol. 71(C).
  25. Richard Dorsett & Lucy Stokes, 2022. "Pre‐apprenticeship training for young people: Estimating the marginal and average treatment effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 37-60, January.
  26. Matthias Westphal & Daniel A Kamhöfer & Hendrik Schmitz, 2022. "Marginal College Wage Premiums Under Selection Into Employment," The Economic Journal, Royal Economic Society, vol. 132(646), pages 2231-2272.
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