IDEAS home Printed from https://ideas.repec.org/r/iza/izadps/dp2091.html
   My bibliography  Save this item

Nonparametric Tests for Treatment Effect Heterogeneity

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. John Cai & Weinan Wang, 2022. "A Systematic Paradigm for Detecting, Surfacing, and Characterizing Heterogeneous Treatment Effects (HTE)," Papers 2211.01547, arXiv.org.
  2. Miguel Godinho de Matos & Pedro Ferreira & Michael D. Smith, 2018. "The Effect of Subscription Video-on-Demand on Piracy: Evidence from a Household-Level Randomized Experiment," Management Science, INFORMS, vol. 64(12), pages 5610-5630, December.
  3. Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2021. "From Local to Global: External Validity in a Fertility Natural Experiment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 217-243, January.
  4. Ana Beatriz Galvão & James Mitchell, 2024. "Communicating Data Uncertainty: Multiwave Experimental Evidence for UK GDP," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(1), pages 81-114, February.
  5. Cockx, Bart & Lechner, Michael & Bollens, Joost, 2023. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Labour Economics, Elsevier, vol. 80(C).
  6. Seán M. Muller, 2021. "Evidence for a YETI? A Cautionary Tale from South Africa's Youth Employment Tax Incentive," Development and Change, International Institute of Social Studies, vol. 52(6), pages 1301-1342, November.
  7. 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.
  8. Augsburg, Britta & Bancalari, Antonella & Durrani, Zara & Vaidyanathan, Madhav & White, Zach, 2022. "When nature calls back: Sustaining behavioral change in rural Pakistan," Journal of Development Economics, Elsevier, vol. 158(C).
  9. Steven F. Lehrer & R. Vincent Pohl & Kyungchul Song, 2022. "Multiple Testing and the Distributional Effects of Accountability Incentives in Education," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(4), pages 1552-1568, October.
  10. Alejandro Sanchez-Becerra, 2023. "Robust inference for the treatment effect variance in experiments using machine learning," Papers 2306.03363, arXiv.org.
  11. Sokbae (Simon) Lee & Yoon-Jae Whang, 2009. "Nonparametric tests of conditional treatment effects," CeMMAP working papers CWP36/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  12. Yanchun Jin, 2016. "Nonparametric tests for the effect of treatment on conditional variance," KIER Working Papers 948, Kyoto University, Institute of Economic Research.
  13. Daniel Kaliski, 2023. "Identifying the impact of health insurance on subgroups with changing rates of diagnosis," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2098-2112, September.
  14. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
  15. Pender, John & Reeder, Richard, 2011. "Impacts of Regional Approaches to Rural Development: Initial Evidence on the Delta Regional Authority," Economic Research Report 262240, United States Department of Agriculture, Economic Research Service.
  16. Steven F. Lehrer & R. Vincent Pohl & Kyungchul Song, 2016. "Targeting Policies: Multiple Testing and Distributional Treatment Effects," NBER Working Papers 22950, National Bureau of Economic Research, Inc.
  17. Marianne P. Bitler & Jonah B. Gelbach & Hilary W. Hoynes, 2017. "Can Variation in Subgroups' Average Treatment Effects Explain Treatment Effect Heterogeneity? Evidence from a Social Experiment," The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 683-697, July.
  18. Luo Wei & Wu Wenbo & Zhu Yeying, 2019. "Learning Heterogeneity in Causal Inference Using Sufficient Dimension Reduction," Journal of Causal Inference, De Gruyter, vol. 7(1), pages 1-14, March.
  19. Huang, W. & Linton, O. & Zhang, Z., 2021. "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Cambridge Working Papers in Economics 2113, Faculty of Economics, University of Cambridge.
  20. repec:lic:licosd:34413 is not listed on IDEAS
  21. Tobias Adrian & Richard K. Crump & Erik Vogt, 2019. "Nonlinearity and Flight‐to‐Safety in the Risk‐Return Trade‐Off for Stocks and Bonds," Journal of Finance, American Finance Association, vol. 74(4), pages 1931-1973, August.
  22. Pedro H. C. Sant’Anna, 2021. "Nonparametric Tests for Treatment Effect Heterogeneity With Duration Outcomes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(3), pages 816-832, July.
  23. Pons Rotger, Gabriel & Rosholm, Michael, 2020. "The Role of Beliefs in Long Sickness Absence: Experimental Evidence from a Psychological Intervention," IZA Discussion Papers 13582, Institute of Labor Economics (IZA).
  24. Lu, Xun & White, Habert, 2015. "Testing For Treatment Dependence Of Effects Of A Continuous Treatment," Econometric Theory, Cambridge University Press, vol. 31(5), pages 1016-1053, October.
  25. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand," NBER Technical Working Papers 0330, National Bureau of Economic Research, Inc.
  26. Bedoya Arguelles,Guadalupe & Bittarello,Luca & Davis,Jonathan Martin Villars & Mittag,Nikolas Karl & Bedoya Arguelles,Guadalupe & Bittarello,Luca & Davis,Jonathan Martin Villars & Mittag,Nikolas Karl, 2017. "Distributional impact analysis: toolkit and illustrations of impacts beyond the average treatment effect," Policy Research Working Paper Series 8139, The World Bank.
  27. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
  28. Layla Parast & Tianxi Cai & Lu Tian, 2023. "Testing for heterogeneity in the utility of a surrogate marker," Biometrics, The International Biometric Society, vol. 79(2), pages 799-810, June.
  29. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
  30. Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927RR, Cowles Foundation for Research in Economics, Yale University, revised Apr 2015.
  31. Albrecht, Konstanze & von Essen, Emma & Parys, Juliane & Szech, Nora, 2013. "Updating, self-confidence, and discrimination," European Economic Review, Elsevier, vol. 60(C), pages 144-169.
  32. Peng Ding & Avi Feller & Luke Miratrix, 2016. "Randomization inference for treatment effect variation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(3), pages 655-671, June.
  33. Julius Owusu, 2023. "Randomization Inference of Heterogeneous Treatment Effects under Network Interference," Papers 2308.00202, arXiv.org, revised Jan 2024.
  34. Chengfeng Yu & Jiyu Yu & Da Gao, 2024. "Smart Cities and Greener Futures: Evidence from a Quasi-Natural Experiment in China’s Smart City Construction," Sustainability, MDPI, vol. 16(2), pages 1-28, January.
  35. Judith Favereau & Nicolas Brisset, 2016. "Randomization of What? Moving from Libertarian to "Democratic Paternalism". GREDEG Working Papers Series," Working Papers hal-02092638, HAL.
  36. Judith Favereau & Nicolas Brisset, 2016. "Randomization of What? Moving from Libertarian to "Democratic Paternalism"," GREDEG Working Papers 2016-34, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  37. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
  38. 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.
  39. Marusca De Castris & Guido Pellegrini, 2015. "Caratteristiche delle imprese ed eterogeneit? degli effetti degli incentivi alla r&s," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2015(3 Suppl.), pages 61-79.
  40. Sianesi, Barbara, 2017. "Evidence of randomisation bias in a large-scale social experiment: The case of ERA," Journal of Econometrics, Elsevier, vol. 198(1), pages 41-64.
  41. Chung, EunYi & Olivares, Mauricio, 2021. "Permutation test for heterogeneous treatment effects with a nuisance parameter," Journal of Econometrics, Elsevier, vol. 225(2), pages 148-174.
  42. Fatema, Naureen & Kibriya, Shahriar, 2017. "Givers of great dinners know few enemies: The impact of household food security on micro-level communal conflict in Eastern Democratic Republic of Congo," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258482, Agricultural and Applied Economics Association.
  43. Philip Gleason & Alexandra Resch & Jillian Berk, 2018. "RD or Not RD: Using Experimental Studies to Assess the Performance of the Regression Discontinuity Approach," Evaluation Review, , vol. 42(1), pages 3-33, February.
  44. Fatema, Naureen & Kibriya,, Shahriar, 2022. "Givers of great dinners know few enemies: The impact of household food sufficiency and food sharing behavior on low-intensity, interhousehold conflict in eastern Democratic Republic of Congo," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322524, Agricultural and Applied Economics Association.
  45. Gabriel Okasa & Kenneth A. Younge, 2022. "Sample Fit Reliability," Papers 2209.06631, arXiv.org.
  46. Manuel S. Santos & Juan Pablo Rincon-Zapatero, 2007. "Moving the Goalposts: Differentiability of the Value Function without Interiority Assumptions," Working Papers 0614, University of Miami, Department of Economics.
  47. Paul Ferraro & Merlin Hanauer, 2011. "Protecting Ecosystems and Alleviating Poverty with Parks and Reserves: ‘Win-Win’ or Tradeoffs?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(2), pages 269-286, February.
  48. repec:mpr:mprres:7461 is not listed on IDEAS
  49. Zongwu Cai & Ying Fang & Ming Lin & Shengfang Tang, 2021. "A Nonparametric Test for Testing Heterogeneity in Conditional Quantile Treatment Effects," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202117, University of Kansas, Department of Economics, revised Aug 2021.
  50. Sung Jae Jun & Yoonseok Lee & Youngki Shin, 2016. "Treatment Effects With Unobserved Heterogeneity: A Set Identification Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 302-311, April.
  51. Nathan Kallus, 2022. "Treatment Effect Risk: Bounds and Inference," Papers 2201.05893, arXiv.org, revised Jul 2022.
  52. Steinkraus, Arne, 2018. "Rethinking Policy Evaluation – Do Simple Neural Nets Bear Comparison with Synthetic Control Method?," EconStor Preprints 177390, ZBW - Leibniz Information Centre for Economics.
  53. Słoczyński, Tymon, 2012. "New Evidence on Linear Regression and Treatment Effect Heterogeneity," MPRA Paper 39524, University Library of Munich, Germany.
  54. Christian Volpe Martincus & Jerónimo Carballo & Pablo M. Garcia, 2012. "Public programmes to promote firms’ exports in developing countries: are there heterogeneous effects by size categories?," Applied Economics, Taylor & Francis Journals, vol. 44(4), pages 471-491, February.
  55. Lépine, A. & Lagarde, M. & Le Nestour, A., 2015. "Free primary care in Zambia: an impact evaluation using a pooled synthetic control method," Health, Econometrics and Data Group (HEDG) Working Papers 15/20, HEDG, c/o Department of Economics, University of York.
  56. Zhou, Niwen & Guo, Xu & Zhu, Lixing, 2024. "Significance test for semiparametric conditional average treatment effects and other structural functions," Computational Statistics & Data Analysis, Elsevier, vol. 189(C).
  57. Nathan Kallus, 2023. "Treatment Effect Risk: Bounds and Inference," Management Science, INFORMS, vol. 69(8), pages 4579-4590, August.
  58. Philip M. Gleason & Alexandra M. Resch & Jillian A. Berk, "undated". "Replicating Experimental Impact Estimates Using a Regression Discontinuity Approach," Mathematica Policy Research Reports c7ecf8b35c8d402491d09b2d0, Mathematica Policy Research.
  59. Khalil, Umair & Yıldız, Neşe, 2022. "A test of the selection on observables assumption using a discontinuously distributed covariate," Journal of Econometrics, Elsevier, vol. 226(2), pages 423-450.
  60. Andrea Mercatanti & Fan Li, 2017. "Do debit cards decrease cash demand?: causal inference and sensitivity analysis using principal stratification," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(4), pages 759-776, August.
  61. Nathan Kallus & Miruna Oprescu, 2022. "Robust and Agnostic Learning of Conditional Distributional Treatment Effects," Papers 2205.11486, arXiv.org, revised Feb 2023.
  62. Yuanyuan Shen & Tianxi Cai, 2016. "Identifying predictive markers for personalized treatment selection," Biometrics, The International Biometric Society, vol. 72(4), pages 1017-1025, December.
  63. Onur Altindag & Theodore J. Joyce & Julie A. Reeder, 2015. "Effects of Peer Counseling to Support Breastfeeding: Assessing the External Validity of a Randomized Field Experiment," NBER Working Papers 21013, National Bureau of Economic Research, Inc.
  64. Zongwu Cai & Ying Fang & Ming Lin & Shengfang Tang, 2020. "Inferences for Partially Conditional Quantile Treatment Effect Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202005, University of Kansas, Department of Economics, revised Feb 2020.
  65. Julius Owusu, 2024. "A Nonparametric Test of Heterogeneous Treatment Effects under Interference," Papers 2410.00733, arXiv.org.
  66. Brigham R. Frandsen & Lars J. Lefgren, 2021. "Partial identification of the distribution of treatment effects with an application to the Knowledge is Power Program (KIPP)," Quantitative Economics, Econometric Society, vol. 12(1), pages 143-171, January.
  67. Susan Athey & Guido Imbens, 2015. "Recursive Partitioning for Heterogeneous Causal Effects," Papers 1504.01132, arXiv.org, revised Dec 2015.
  68. Ferraro, Paul J. & Miranda, Juan José, 2013. "Heterogeneous treatment effects and mechanisms in information-based environmental policies: Evidence from a large-scale field experiment," Resource and Energy Economics, Elsevier, vol. 35(3), pages 356-379.
  69. Naureen Fatema & Shahriar Kibriya, 2018. "Givers of great dinners know few enemies: The impact of household food sufficiency and food sharing on low intensity interhousehold and community conflict in Eastern Democratic Republic of Congo," HiCN Working Papers 267, Households in Conflict Network.
  70. Edward Feser, 2013. "Isserman’s Impact," International Regional Science Review, , vol. 36(1), pages 44-68, January.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.