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Bootstrap inference of matching estimators for average treatment effects

Citations

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Cited by:

  1. Zhexiao Lin & Peng Ding & Fang Han, 2023. "Estimation Based on Nearest Neighbor Matching: From Density Ratio to Average Treatment Effect," Econometrica, Econometric Society, vol. 91(6), pages 2187-2217, November.
  2. Eli Ben‐Michael & Avi Feller & Jesse Rothstein, 2022. "Synthetic controls with staggered adoption," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 351-381, April.
  3. Mahmud, Minhaj & Sawada, Yasuyuki & Seki, Mai & Takakura, Kazuma, 2025. "Self-learning at the right level, COVID-19, school closure, and non-cognitive abilities," Economics of Education Review, Elsevier, vol. 107(C).
  4. Shu Yang & Yunshu Zhang, 2023. "Multiply robust matching estimators of average and quantile treatment effects," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(1), pages 235-265, March.
  5. Ferman, Bruno, 2021. "Matching estimators with few treated and many control observations," Journal of Econometrics, Elsevier, vol. 225(2), pages 295-307.
  6. García, Gustavo Antonio & Ramírez-Hassan, Andrés & Saravia, Estefanía & Vargas, Raquel & Duque, Juan Fernando & Londoño, Daniel, 2022. "Impacto de las intervenciones físicas en el transporte público en Medellín (Colombia) como herramientas para reducir la exclusión social," IDB Publications (Working Papers) 12014, Inter-American Development Bank.
  7. Hugo Bodory & Lorenzo Camponovo & Martin Huber & Michael Lechner, 2020. "The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 183-200, January.
  8. Matthew Blackwell & Anton Strezhnev, 2022. "Telescope matching for reducing model dependence in the estimation of the effects of time‐varying treatments: An application to negative advertising," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 377-399, January.
  9. D’Arcangelo, Filippo Maria & Pavan, Giulia & Calligaris, Sara, "undated". "The Impact of the European Carbon Market on Firm Productivity: Evidence from Italian Manufacturing Firms," FEEM Working Papers 324170, Fondazione Eni Enrico Mattei (FEEM).
  10. Cristina Bernini & Augusto Cerqua, 2020. "Are eco‐labels good for the local economy?," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 645-661, June.
  11. Weiss, Amanda, 2024. "How Much Should We Trust Modern Difference-in-Differences Estimates?," OSF Preprints bqmws, Center for Open Science.
  12. Taisuke Otsu & Mengshan Xu, 2022. "Isotonic propensity score matching," STICERD - Econometrics Paper Series 623, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  13. Bernini, Cristina & Cerqua, Augusto, 2019. "Do sustainability policies finance local economies?," MPRA Paper 91882, University Library of Munich, Germany.
  14. Huber, Martin & Camponovo, Lorenzo & Bodory, Hugo & Lechner, Michael, 2016. "A wild bootstrap algorithm for propensity score matching estimators," FSES Working Papers 470, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
  15. Cerqua, A. & Ferrante, C. & Letta, M., 2021. "Electoral Earthquake: Natural Disasters and the Geography of Discontent," GLO Discussion Paper Series 790, Global Labor Organization (GLO).
  16. Bodory, Hugo & Camponovo, Lorenzo & Huber, Martin & Lechner, Michael, 2024. "Nonparametric bootstrap for propensity score matching estimators," Statistics & Probability Letters, Elsevier, vol. 208(C).
  17. Shu Yang & Jae Kwang Kim, 2020. "Asymptotic theory and inference of predictive mean matching imputation using a superpopulation model framework," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(3), pages 839-861, September.
  18. Wagner, Gary A. & Rork, Jonathan C., 2023. "Does state tax reciprocity affect interstate commuting? Evidence from a natural experiment," Regional Science and Urban Economics, Elsevier, vol. 102(C).
  19. Giovanni Baiocchetti & Cecilia Castaldo & Ilan Noy & Federico Zampollo, 2025. "The Adverse Impacts of Disasters In-Name-Only," CESifo Working Paper Series 11681, CESifo.
  20. Ziming Lin & Fang Han, 2024. "On the consistency of bootstrap for matching estimators," Papers 2410.23525, arXiv.org, revised Nov 2024.
  21. Andr'es Ram'irez-Hassan & Raquel Vargas-Correa & Gustavo Garc'ia & Daniel Londo~no, 2020. "Optimal selection of the number of control units in kNN algorithm to estimate average treatment effects," Papers 2008.06564, arXiv.org.
  22. Kara E Rudolph & Nicholas T Williams & Floriana Milazzo & Atheendar Venkataramani & Rourke O’Brien, 2023. "Has the opening of Amazon fulfillment centers affected demand for disability insurance?," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-13, November.
  23. Filippo Maria D’Arcangelo & Giulia Pavan & Sara Calligaris, 2022. "The Impact of the European Carbon Market on Firm Productivity: Evidence from Italian Manufacturing Firms," Working Papers 2022.24, Fondazione Eni Enrico Mattei.
  24. Cerqua, Augusto & Ferrante, Chiara & Letta, Marco, 2023. "Electoral earthquake: Local shocks and authoritarian voting," European Economic Review, Elsevier, vol. 156(C).
  25. Mengshan Xu & Taisuke Otsu, 2022. "Isotonic propensity score matching," Papers 2207.08868, arXiv.org, revised Jan 2025.
  26. repec:osf:osfxxx:bqmws_v1 is not listed on IDEAS
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