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Quantile treatment effects in the regression discontinuity design

Citations

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Cited by:

  1. Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
  2. Steven F. Koch & Jeffrey S. Racine, 2016. "Healthcare facility choice and user fee abolition: regression discontinuity in a multinomial choice setting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(4), pages 927-950, October.
  3. Choi, Jin-young & Lee, Myoung-jae, 2018. "Relaxing conditions for local average treatment effect in fuzzy regression discontinuity," Economics Letters, Elsevier, vol. 173(C), pages 47-50.
  4. 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.
  5. Leopoldo Fergusson & Arturo Harker & Carlos Molina & Juan Camilo Yamín, 2023. "Political incentives and corruption evidence from ghost students," Documentos CEDE 20732, Universidad de los Andes, Facultad de Economía, CEDE.
  6. Lee Myoung-Jae, 2017. "Regression Discontinuity with Errors in the Running Variable: Effect on Truthful Margin," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-8, January.
  7. repec:hum:wpaper:sfb649dp2014-059 is not listed on IDEAS
  8. Pierre Mouganie, 2020. "Conscription and the Returns to Education: Evidence from a Regression Discontinuity," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(3), pages 1112-1139, July.
  9. David Wuepper & Robert Finger, 2023. "Regression discontinuity designs in agricultural and environmental economics," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(1), pages 1-28.
  10. Pereda-Fernández, Santiago, 2023. "Identification and estimation of triangular models with a binary treatment," Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
  11. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
  12. Ivan A Canay & Vishal Kamat, 2018. "Approximate Permutation Tests and Induced Order Statistics in the Regression Discontinuity Design," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(3), pages 1577-1608.
  13. Blaise Melly und Kaspar W thrich, 2016. "Local quantile treatment effects," Diskussionsschriften dp1605, Universitaet Bern, Departement Volkswirtschaft.
  14. Damian Clarke & Manuel Llorca Jaña & Daniel Pailañir, 2023. "The use of quantile methods in economic history," Historical Methods: A Journal of Quantitative and Interdisciplinary History, Taylor & Francis Journals, vol. 56(2), pages 115-132, April.
  15. Tommaso Gabrieli & Antonio F. Galvao, Jr. & Antonio F. Galvao, Jr., 2010. "Who Benefits from Reducing the Cost of Formality? Quantile Regression Discontinuity Analysis," Real Estate & Planning Working Papers rep-wp2010-11, Henley Business School, University of Reading.
  16. Chiang, Harold D. & Hsu, Yu-Chin & Sasaki, Yuya, 2019. "Robust uniform inference for quantile treatment effects in regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 211(2), pages 589-618.
  17. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
  18. Victor Chernozhukov & Iván Fernández-Val & Blaise Melly & Kaspar Wüthrich, 2020. "Generic Inference on Quantile and Quantile Effect Functions for Discrete Outcomes," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(529), pages 123-137, January.
  19. Xu, Ke-Li, 2020. "Inference of local regression in the presence of nuisance parameters," Journal of Econometrics, Elsevier, vol. 218(2), pages 532-560.
  20. Yu-Chin Hsu & Chung-Ming Kuan & Giorgio Teng-Yu Lo, 2017. "Quantile Treatment Effects in Regression Discontinuity Designs with Covariates," IEAS Working Paper : academic research 17-A009, Institute of Economics, Academia Sinica, Taipei, Taiwan.
  21. Joshua Angrist & Miikka Rokkanen, 2012. "Wanna Get Away? RD Identification Away from the Cutoff," NBER Working Papers 18662, National Bureau of Economic Research, Inc.
  22. Camelo, Rafael & Ponczek, Vladimir, 2021. "Teacher Turnover and Financial Incentives in Underprivileged Schools: Evidence from a Compensation Policy in a Developing Country," Economics of Education Review, Elsevier, vol. 80(C).
  23. Pesola, Hanna Onerva & Sarvimäki, Matti, 2022. "Intergenerational Spillovers of Integration Policies: Evidence from Finland's Integration Plans," IZA Discussion Papers 15310, Institute of Labor Economics (IZA).
  24. Stahlschmidt, Stephan & Eckardt, Matthias & Härdle, Wolfgang Karl, 2014. "Expectile treatment effects: An efficient alternative to compute the distribution of treatment effects," SFB 649 Discussion Papers 2014-059, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  25. Xu, Ke-Li, 2017. "Regression discontinuity with categorical outcomes," Journal of Econometrics, Elsevier, vol. 201(1), pages 1-18.
  26. Stefan Boes & Dominik Hangartner & Lukas Schmid, 2011. "Identification of Causal Education Effects Using a Discontinuity in School Entry Tests: First Results from a Pilot Study," Diskussionsschriften dp1103, Universitaet Bern, Departement Volkswirtschaft.
  27. Hsu, Yu-Chin & Shiu, Ji-Liang & Wan, Yuanyuan, 2024. "Testing identification conditions of LATE in fuzzy regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 241(1).
  28. Koichiro Ito, 2015. "Asymmetric Incentives in Subsidies: Evidence from a Large-Scale Electricity Rebate Program," American Economic Journal: Economic Policy, American Economic Association, vol. 7(3), pages 209-237, August.
  29. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
  30. Tchuente, Guy & Kakeu, Johnson & Francois, John Nana, 2021. "The Forest Behind the Tree: Heterogeneity in How US Governor's Party Affects Black Workers," GLO Discussion Paper Series 947, Global Labor Organization (GLO).
  31. Ling Li & Perry Singleton, 2019. "The Effect of Workplace Inspections on Worker Safety," ILR Review, Cornell University, ILR School, vol. 72(3), pages 718-748, May.
  32. Caro, Juan Carlos, 2020. "Parental investments, socioemotional development and nutritional health in Chile," MPRA Paper 98867, University Library of Munich, Germany.
  33. Matti Sarvimäki & Kari Hämäläinen, 2016. "Integrating Immigrants: The Impact of Restructuring Active Labor Market Programs," Journal of Labor Economics, University of Chicago Press, vol. 34(2), pages 479-508.
  34. Todd Pugatch & Elizabeth Schroeder, 2018. "Teacher pay and student performance: evidence from the Gambian hardship allowance," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 10(2), pages 249-276, April.
  35. Jing You & Miguel Niño‐Zarazúa, 2019. "The Intergenerational Impact of China's New Rural Pension Scheme," Population and Development Review, The Population Council, Inc., vol. 45(S1), pages 47-95, December.
  36. Caro, Juan Carlos, 2020. "Child development and obesity prevention: evidence from the Chilean School Meals Program," MPRA Paper 98865, University Library of Munich, Germany.
  37. Yu‐Chin Hsu & Shu Shen, 2021. "Testing monotonicity of conditional treatment effects under regression discontinuity designs," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 346-366, April.
  38. Wüthrich, Kaspar, 2019. "A closed-form estimator for quantile treatment effects with endogeneity," Journal of Econometrics, Elsevier, vol. 210(2), pages 219-235.
  39. Eduardo Fé, 2010. "An application of local linear regression with asymmetric kernels to regression discontinuity designs," Economics Discussion Paper Series 1016, Economics, The University of Manchester.
  40. Xavier D’Haultfoeuille & Pauline Givord, 2014. "La régression quantile en pratique," Économie et Statistique, Programme National Persée, vol. 471(1), pages 85-111.
  41. Deng, Taotao & Hu, Yukun & Ma, Mulan, 2019. "Regional policy and tourism: A quasi-natural experiment," Annals of Tourism Research, Elsevier, vol. 74(C), pages 1-16.
  42. Bernal Lobato, N., 2014. "Essays in applied microeconomics," Other publications TiSEM 9b638b3d-2f83-452a-b2c8-c, Tilburg University, School of Economics and Management.
  43. 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.
  44. Hsu, Yu-Chin & Shen, Shu, 2019. "Testing treatment effect heterogeneity in regression discontinuity designs," Journal of Econometrics, Elsevier, vol. 208(2), pages 468-486.
  45. Yingying DONG & Ying-Ying LEE & Michael GOU, 2019. "Regression Discontinuity Designs with a Continuous Treatment," Discussion papers 19058, Research Institute of Economy, Trade and Industry (RIETI).
  46. Yingying Dong, 2012. "Regression Discontinuity Applications with Rounding Errors in the Running Variable," Working Papers 111206, University of California-Irvine, Department of Economics.
  47. Wu, Jia & Wei, Xiangdong & Zhang, Hongliang & Zhou, Xiang, 2019. "Elite schools, magnet classes, and academic performances: Regression-discontinuity evidence from China," China Economic Review, Elsevier, vol. 55(C), pages 143-167.
  48. François Gerard & Miikka Rokkanen & Christoph Rothe, 2020. "Bounds on treatment effects in regression discontinuity designs with a manipulated running variable," Quantitative Economics, Econometric Society, vol. 11(3), pages 839-870, July.
  49. Matti Sarvimäki & Hanna Pesola, 2022. "Intergenerational Spillovers of Integration Policies: Evidence from Finland’s Integration Plans," RF Berlin - CReAM Discussion Paper Series 2212, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
  50. Qin Zhou & Karen Eggleston & Gordon G. Liu, 2021. "Healthcare utilization at retirement in China," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2618-2636, November.
  51. Bernal, Gloria L. & Penney, Jeffrey, 2019. "Scholarships and student effort: Evidence from Colombia’s Ser Pilo Paga program," Economics of Education Review, Elsevier, vol. 72(C), pages 121-130.
  52. Li, Yanan & Sunder, Naveen, 2024. "Distributional effects of education on mental health," Labour Economics, Elsevier, vol. 88(C).
  53. Hiroaki Kaido & Kaspar Wüthrich, 2021. "Decentralization estimators for instrumental variable quantile regression models," Quantitative Economics, Econometric Society, vol. 12(2), pages 443-475, May.
  54. Gerard, François & Rothe, Christoph & Rokkanen, Miikka, 2016. "Bounds on Treatment Effects in Regression Discontinuity Designs under Manipulation of the Running Variable, with an Application," CEPR Discussion Papers 11668, C.E.P.R. Discussion Papers.
  55. Ling Li & Shawn Rohlin & Perry Singleton, 2022. "Labor Unions and Workplace Safety," ILR Review, Cornell University, ILR School, vol. 75(2), pages 402-426, March.
  56. Chiang, Harold D. & Sasaki, Yuya, 2019. "Causal inference by quantile regression kink designs," Journal of Econometrics, Elsevier, vol. 210(2), pages 405-433.
  57. Beshears, John, 2013. "The performance of corporate alliances: Evidence from oil and gas drilling in the Gulf of Mexico," Journal of Financial Economics, Elsevier, vol. 110(2), pages 324-346.
  58. Bernal, Noelia & Carpio, Miguel A. & Klein, Tobias J., 2017. "The effects of access to health insurance: Evidence from a regression discontinuity design in Peru," Journal of Public Economics, Elsevier, vol. 154(C), pages 122-136.
  59. 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.
  60. Jing You & Miguel Niño-Zarazúa, 2017. "Smoothing or strengthening the ‘Great Gatsby Curve’? The intergenerational impact of China’s New Rural Pension Scheme," WIDER Working Paper Series 199, World Institute for Development Economic Research (UNU-WIDER).
  61. Bertanha, Marinho, 2020. "Regression discontinuity design with many thresholds," Journal of Econometrics, Elsevier, vol. 218(1), pages 216-241.
  62. Jing You & Miguel Niño-Zarazúa, 2017. "Smoothing or strengthening the 'Great Gatsby curve'?: The intergenerational impact of China's New Rural Pension Scheme," WIDER Working Paper Series wp-2017-199, World Institute for Development Economic Research (UNU-WIDER).
  63. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.
  64. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
  65. Miguel Ángel Carpio & Lucero Gómez & Pablo Lavado, 2021. "Does social health insurance spillover to student performance? Evidence from an RDD in Peru," Working Papers 178, Peruvian Economic Association.
  66. Jinhyun Lee, 2013. "Sharp Bounds on Heterogeneous Individual Treatment Responses," Discussion Paper Series, School of Economics and Finance 201310, School of Economics and Finance, University of St Andrews.
  67. Xiao Huang & Zhaoguo Zhan, 2022. "Local Composite Quantile Regression for Regression Discontinuity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(4), pages 1863-1875, October.
  68. Dandan Xu & Michael J. Daniels & Almut G. Winterstein, 2018. "A Bayesian nonparametric approach to causal inference on quantiles," Biometrics, The International Biometric Society, vol. 74(3), pages 986-996, September.
  69. Daniel Burkhard, 2015. "Consumption smoothing at retirement: average and quantile treatment effects in the regression discontinuity design," Diskussionsschriften dp1512, Universitaet Bern, Departement Volkswirtschaft.
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