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Efficient Semiparametric Estimation of Quantile Treatment Effects

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Cited by:

  1. Callaway, Brantly, 2021. "Bounds on distributional treatment effect parameters using panel data with an application on job displacement," Journal of Econometrics, Elsevier, vol. 222(2), pages 861-881.
  2. Silvia H. Barcellos & Leandro S. Carvalho & Patrick Turley, 2019. "Distributional Effects of Education on Health," NBER Working Papers 25898, National Bureau of Economic Research, Inc.
  3. Callaway, Brantly & Collins, William J., 2018. "Unions, workers, and wages at the peak of the American labor movement," Explorations in Economic History, Elsevier, vol. 68(C), pages 95-118.
  4. Ha Trong Nguyen & Luke B. Connelly & Huong Thu Le & Francis Mitrou & Catherine L. Taylor & Stephen R. Zubrick, 2020. "Ethnicity differentials in academic achievements: the role of time investments," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1381-1418, October.
  5. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
  6. Sakos, Grayson & Cerulli, Giovanni & Garbero, Alessandra, 2021. "Beyond the ATE: Idiosyncratic Effect Estimation to Uncover Distributional Impacts Results from 17 Impact Evaluations," 2021 Annual Meeting, August 1-3, Austin, Texas 314017, Agricultural and Applied Economics Association.
  7. Kaspar Wüthrich, 2020. "A Comparison of Two Quantile Models With Endogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 443-456, April.
  8. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2008. "Nonparametric Tests for Treatment Effect Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 389-405, August.
  9. Dambala Gelo & Steven F. Koch & Edwin Muchapondwah, 2013. "Do the Poor Benefit from Devolution Policies? Evidences from Quantile Treatment Effect Evaluation of Joint Forest Management," Working Papers 201388, University of Pretoria, Department of Economics.
  10. Jiang, Liang & Phillips, Peter C.B. & Tao, Yubo & Zhang, Yichong, 2023. "Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations," Journal of Econometrics, Elsevier, vol. 234(2), pages 758-776.
  11. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data estimation via quantile regressions," Econometrics Journal, Royal Economic Society, vol. 19(3), pages 61-94, October.
  12. Susan Harkness, 2022. "Single Mothers’ Income in Twelve Rich Nations: Differences in Disadvantage across the Distribution," LIS Working papers 835, LIS Cross-National Data Center in Luxembourg.
  13. Olivier Bargain & Prudence Kwenda, 2014. "The Informal Sector Wage Gap: New Evidence Using Quantile Estimations on Panel Data," Economic Development and Cultural Change, University of Chicago Press, vol. 63(1), pages 117-153.
  14. David M. Kaplan & Matt Goldman, 2015. "Nonparametric inference on conditional quantile differences and linear combinations, using L-statistics," Working Papers 1503, Department of Economics, University of Missouri.
  15. Daniel L. Millimet & Le Wang, 2011. "Is the Quantity-Quality Trade-Off a Trade-Off for All, None, or Some?," Economic Development and Cultural Change, University of Chicago Press, vol. 60(1), pages 155-195.
  16. Abdullah Kumas & Daniel L. Millimet, 2018. "Reassessing the effects of bilateral tax treaties on US FDI activity," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(3), pages 451-470, July.
  17. Chunrong Ai & Oliver Linton & Kaiji Motegi & Zheng Zhang, 2021. "A unified framework for efficient estimation of general treatment models," Quantitative Economics, Econometric Society, vol. 12(3), pages 779-816, July.
  18. Thomas MaCurdy & Xiaohong Chen & Han Hong, 2011. "Flexible Estimation of Treatment Effect Parameters," American Economic Review, American Economic Association, vol. 101(3), pages 544-551, May.
  19. Ozkan Eren & Serkan Ozbeklik, 2014. "Who Benefits From Job Corps? A Distributional Analysis Of An Active Labor Market Program," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(4), pages 586-611, June.
  20. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers CWP36/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  21. Dipanwita Sarkar & Jayanta Sarkar, 2017. "What Does Attending Early Childhood Program Mean for Child Health in India?," Health Economics, John Wiley & Sons, Ltd., vol. 26(11), pages 1366-1379, November.
  22. Wüthrich, Kaspar, 2019. "A closed-form estimator for quantile treatment effects with endogeneity," Journal of Econometrics, Elsevier, vol. 210(2), pages 219-235.
  23. Alex Coad & Julian Frankish & Paul Nightingale & Richard Roberts, 2014. "Business experience and start-up size: Buying more lottery tickets next time around?," Small Business Economics, Springer, vol. 43(3), pages 529-547, October.
  24. Yu-Chin Hsu & Martin Huber & Yu-Min Yen, 2023. "Doubly Robust Estimation of Direct and Indirect Quantile Treatment Effects with Machine Learning," Papers 2307.01049, arXiv.org.
  25. Figueroa, José Luis, 2014. "Distributional effects of Oportunidades on early child development," Social Science & Medicine, Elsevier, vol. 113(C), pages 42-49.
  26. Daniel Burkhard & Christian P. R. Schmid & Kaspar Wüthrich, 2019. "Financial incentives and physician prescription behavior: Evidence from dispensing regulations," Health Economics, John Wiley & Sons, Ltd., vol. 28(9), pages 1114-1129, September.
  27. Harkness, Susan, 2022. "Single mothers’ income in twelve rich nations: differences in disadvantage across the distribution," ISER Working Paper Series 2022-06, Institute for Social and Economic Research.
  28. Ha Trong Nguyen, 2015. "The evolution of the gender test score gap through seventh grade: New insights from Australia using quantile regression and decomposition," Bankwest Curtin Economics Centre Working Paper series WP1507, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
  29. Donald, Stephen G. & Hsu, Yu-Chin, 2014. "Estimation and inference for distribution functions and quantile functions in treatment effect models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 383-397.
  30. Xiahua Wei & Ming Fan & Weijia You & Yong Tan, 2021. "An Empirical Study of the Dynamic and Differential Effects of Prefunding," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1331-1349, May.
  31. Philip Oreopoulos & Daniel Lang & Joshua Angrist, 2009. "Incentives and Services for College Achievement: Evidence from a Randomized Trial," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 136-163, January.
  32. Sasaki, Yuya & Ura, Takuya, 2023. "Estimation and inference for policy relevant treatment effects," Journal of Econometrics, Elsevier, vol. 234(2), pages 394-450.
  33. DiNardo, John & Lee, David S., 2011. "Program Evaluation and Research Designs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 5, pages 463-536, Elsevier.
  34. Bitler, Marianne P. & Gelbach, Jonah B. & Hoynes, Hilary W., 2008. "Distributional impacts of the Self-Sufficiency Project," Journal of Public Economics, Elsevier, vol. 92(3-4), pages 748-765, April.
  35. Marigee Bacolod & Stephen Mehay & Elda Pema, 2018. "Who succeeds in distance learning? Evidence from quantile panel data estimation," Southern Economic Journal, John Wiley & Sons, vol. 84(4), pages 1129-1145, April.
  36. Liang Jiang & Xiaobin Liu & Peter C.B. Phillips & Yichong Zhang, 2020. "Bootstrap Inference for Quantile Treatment Effects in Randomized Experiments with Matched Pairs," Cowles Foundation Discussion Papers 2249, Cowles Foundation for Research in Economics, Yale University.
  37. Anthony Strittmatter, 2018. "What Is the Value Added by Using Causal Machine Learning Methods in a Welfare Experiment Evaluation?," Papers 1812.06533, arXiv.org, revised Dec 2021.
  38. Takuya Ishihara, 2020. "Panel Data Quantile Regression for Treatment Effect Models," Papers 2001.04324, arXiv.org, revised Nov 2021.
  39. Aysit Tansel & Halil Ibrahim Keskin & Zeynel Abidin Ozdemir, 2015. "Is There an Informal Employment Wage Penalty in Egypt?," Working Papers 976, Economic Research Forum, revised Dec 2015.
  40. Shukla, Sumedha & Arora, Gaurav, 2022. "A rank similarity test for quantile treatment effects in conjunction with propensity score matching: An application to crop yield impacts of agricultural credit," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322569, Agricultural and Applied Economics Association.
  41. Piza, Caio & Souza, André Portela Fernandes de, 2016. "Short and long-term effects of a child-labor ban," Textos para discussão 428, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
  42. John Deke, 2016. "Design and Analysis Considerations for Cluster Randomized Controlled Trials That Have a Small Number of Clusters," Evaluation Review, , vol. 40(5), pages 444-486, October.
  43. Lv, Xiaofeng & Li, Rui & Fang, Zheng, 2017. "Efficient semiparametric estimation for Gini inequality treatment effects," Economics Letters, Elsevier, vol. 154(C), pages 96-100.
  44. repec:qut:qubewp:wp013 is not listed on IDEAS
  45. Dmitry Arkhangelsky & Guido Imbens, 2018. "Fixed Effects and the Generalized Mundlak Estimator," Papers 1807.02099, arXiv.org, revised Aug 2023.
  46. Qu, Zhongjun & Yoon, Jungmo, 2015. "Nonparametric estimation and inference on conditional quantile processes," Journal of Econometrics, Elsevier, vol. 185(1), pages 1-19.
  47. Yanqin Fan & Sang Soo Park, 2009. "Partial identification of the distribution of treatment effects and its confidence sets," Advances in Econometrics, in: Nonparametric Econometric Methods, pages 3-70, Emerald Group Publishing Limited.
  48. Neng-Chieh Chang, 2020. "The Mode Treatment Effect," Papers 2007.11606, arXiv.org.
  49. Gabrieli, T. & Galvao Jr, A. F. & Montes-Rojas, G., 2010. "Who benefits from reducing the cost of formality? Quantile regression discontinuity analysis," Working Papers 10/07, Department of Economics, City University London.
  50. Esfandiar Maasoumi & Daniel L. Millimet & Dipanwita Sarkar, 2009. "Who Benefits from Marriage?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 1-33, February.
  51. Gabriel V. Montes-Rojas, 2011. "Nonparametric Estimation of ATE and QTE: An Application of Fractile Graphical Analysis," Journal of Probability and Statistics, Hindawi, vol. 2011, pages 1-23, October.
  52. Rui Evangelista & João Andrade E Silva & Esmeralda A. Ramalho, 2021. "How heterogeneous is the impact of energy efficiency on dwelling prices? Evidence from the application of the unconditional quantile hedonic model to the Portuguese residential market," Working Papers REM 2021/0186, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
  53. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile Regression with Panel Data," NBER Working Papers 21034, National Bureau of Economic Research, Inc.
  54. Michael J. Kottelenberg & Steven F. Lehrer, 2017. "Targeted or Universal Coverage? Assessing Heterogeneity in the Effects of Universal Child Care," Journal of Labor Economics, University of Chicago Press, vol. 35(3), pages 609-653.
  55. Messinis, George, 2013. "Returns to education and urban-migrant wage differentials in China: IV quantile treatment effects," China Economic Review, Elsevier, vol. 26(C), pages 39-55.
  56. Moussa P. Blimpo & Pedro Carneiro & Pamela Jervis & Todd Pugatch, 2022. "Improving Access and Quality in Early Childhood Development Programs: Experimental Evidence from the Gambia," Economic Development and Cultural Change, University of Chicago Press, vol. 70(4), pages 1479-1529.
  57. Wu, Ximing & Perloff, Jeffrey M., 2007. "Information-Theoretic Deconvolution Approximation of Treatment Effect Distribution," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6bm6n30x, Department of Agricultural & Resource Economics, UC Berkeley.
  58. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
  59. Niwen Zhou & Xu Guo & Lixing Zhu, 2022. "The role of propensity score structure in asymptotic efficiency of estimated conditional quantile treatment effect," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(2), pages 718-743, June.
  60. Michael Lechner, 2007. "A Note on the Relation of Weighting and Matching Estimators," University of St. Gallen Department of Economics working paper series 2007 2007-34, Department of Economics, University of St. Gallen.
  61. Caterina Santi & Pietro Santoleri, 2017. "Exploring the link between innovation and growth in Chilean firms," Small Business Economics, Springer, vol. 49(2), pages 445-467, August.
  62. Jales, Hugo & Jiang, Boqian & Rosenthal, Stuart S., 2023. "JUE Insight: Using the mode to test for selection in city size wage premia," Journal of Urban Economics, Elsevier, vol. 133(C).
  63. Joao Amaro de Matos & Joao Mergulhao, 2015. "Debt, information asymmetry and bankers on board," Nova SBE Working Paper Series wp597, Universidade Nova de Lisboa, Nova School of Business and Economics.
  64. Gustavo A. Crespi & Alessandro Maffioli & Pierre Mohnen & Gonzalo Vázquez, 2011. "Evaluating the Impact of Science, Technology and Innovation Programs: a Methodological Toolkit," SPD Working Papers 1104, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
  65. Denis Cogneau & Michael Grimm, 2007. "The Measurement Of Income Distribution Dynamics When Demographics Are Correlated With Income," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(2), pages 246-274, June.
  66. 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.
  67. Nathan Fiala, 2015. "Economic Consequences of Forced Displacement," Journal of Development Studies, Taylor & Francis Journals, vol. 51(10), pages 1275-1293, October.
  68. Hartley, Robert Paul & Lamarche, Carlos, 2018. "Behavioral responses and welfare reform: Evidence from a randomized experiment," Labour Economics, Elsevier, vol. 54(C), pages 135-151.
  69. Liao, Wen-Chi & Zhao, Daxuan, 2019. "The selection and quantile treatment effects on the economic returns of green buildings," Regional Science and Urban Economics, Elsevier, vol. 74(C), pages 38-48.
  70. Sant’Anna, Pedro H.C. & Song, Xiaojun, 2019. "Specification tests for the propensity score," Journal of Econometrics, Elsevier, vol. 210(2), pages 379-404.
  71. Tiziano Arduini & Eleonora Patacchini & Edoardo Rainone, 2014. "Identification and Estimation of Outcome Response with Heterogeneous Treatment Externalities," EIEF Working Papers Series 1407, Einaudi Institute for Economics and Finance (EIEF), revised Sep 2014.
  72. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
  73. Sergio Firpo & Cristine Pinto, 2016. "Identification and Estimation of Distributional Impacts of Interventions Using Changes in Inequality Measures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 457-486, April.
  74. Xavier D’Haultfoeuille & Pauline Givord, 2014. "La régression quantile en pratique," Économie et Statistique, Programme National Persée, vol. 471(1), pages 85-111.
  75. Christoph Rothe, 2012. "Partial Distributional Policy Effects," Econometrica, Econometric Society, vol. 80(5), pages 2269-2301, September.
  76. Wang, Qihua & Lai, Peng, 2011. "Empirical likelihood calibration estimation for the median treatment difference in observational studies," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1596-1609, April.
  77. David Card & Ana Rute Cardoso, 2022. "Wage Flexibility under Sectoral Bargaining," Journal of the European Economic Association, European Economic Association, vol. 20(5), pages 2013-2061.
  78. Michael Lechner & Blaise Melly, 2010. "Partial Idendification of Wage Effects of Training Programs," Working Papers 2010-8, Brown University, Department of Economics.
  79. Kondylis, Florence, 2005. "Agricultural returns and conflict: quasi-experimental evidence from a policy intervention programme in Rwanda," LSE Research Online Documents on Economics 19878, London School of Economics and Political Science, LSE Library.
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  81. Salima BOUAYAD AGHA & Nadine TURPIN & Lionel VEDRINE, 2013. "Au-Delà De La Moyenne : Les Effets Par Quantile De La Politique De Cohésion De L’Union Européenne," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 38, pages 27-48.
  82. Marianne P. Bitler & Jonah B. Gelbach & Hilary W. Hoynes, 2006. "What Mean Impacts Miss: Distributional Effects of Welfare Reform Experiments," American Economic Review, American Economic Association, vol. 96(4), pages 988-1012, September.
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  84. Paul. B. Kenfac Dongmezo & P. N. Mwita & I. R. Kamga Tchwaket, 2018. "Distributive and Quantile Treatment Effects: Imputation Based Estimators Approach," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 7(2), pages 1-3.
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  87. Graham J. McKee & Steven G. Rivkin & Katharine R.E. Sims, 2010. "Disruption, Achievement and the Heterogeneous Benefits of Smaller Classes," NBER Working Papers 15812, National Bureau of Economic Research, Inc.
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  90. Gracious M. Diiro & Abdoul G. Sam & David Kraybill, 2017. "Heterogeneous Effects of Maternal Labor Market Participation on the Nutritional Status of Children: Empirical Evidence from Rural India," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 10(3), pages 609-632, September.
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  95. Bitler, Marianne P. & Gelbach, Jonah B. & Hoynes, Hilary W., 2008. "Distributional impacts of the Self-Sufficiency Project," Journal of Public Economics, Elsevier, vol. 92(3-4), pages 748-765, April.
  96. Ana C. Dammert, 2009. "Heterogeneous Impacts of Conditional Cash Transfers: Evidence from Nicaragua," Economic Development and Cultural Change, University of Chicago Press, vol. 58(1), pages 53-83, October.
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