Quantile Treatment Effects

Abstract

No AccessJan 2022Quantile Treatment EffectsAuthors/Editors: Paul Glewwe, Petra ToddPaul GlewweSearch for more papers by this author, Petra ToddSearch for more papers by this authorhttps://doi.org/10.1596/978-1-4648-1497-6_ch17AboutView ChaptersFull TextPDF (1 MB) ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinked In Abstract: Considers the class of quantile treatment effect (QTE) estimators, including (1) conditional QTE when the treatment remains exogenous conditional on a set of observed variables, denoted by X; (2) conditional QTE when the treatment remains endogenous even after conditioning on a set of X variables, with an available binary instrumental variable Z; (3) unconditional QTE with random treatment assignment (a randomized controlled trial); (4) unconditional QTE when the treatment remains exogenous conditional on a set of X variables; and (5) unconditional QTE when the treatment proves endogenous. Although most evaluations of program impacts focus on mean (average) treatment effects, the full distribution of treatment effects often remains of interest. The QTE estimators offer a way to explore the way treatment effects disseminate within the population, either overall (unconditionally) or conditional on the values of other variables, denoted by X. QTE estimation remains relatively new, and several papers have extended its application to complex situations. ReferencesAbadie, Alberto, Joshua Angrist, and Guido Imbens. 2002. “Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings.” Econometrica 70 (1): 91–117. CrossrefGoogle ScholarChernozhukov, Victor and Christian Hansen. 2005. “An IV Model of Quantile Treatment Effects.” Econometrica 73 (1): 245–61. CrossrefGoogle ScholarDeaton, Angus. 2018. The Analysis of Household Surveys: A Microeconomic Approach. Reissue Edition with a New Preface. Washington, DC: World Bank. doi:10.1596/978-1-4648-1331-3. License: Creative Commons Attribution CC BY 3.0 IGO. Google ScholarDuflo, Esther, Rema Hanna, and Stephen Ryan. 2012. “Incentives Work: Getting Teachers to Come to School.” American Economic Review 102 (4): 1241–78. CrossrefGoogle ScholarFirpo, Sergio. 2007. “Efficient Semiparametric Estimation of Quantile Treatment Effects.” Econometrica 75 (1): 259–76. CrossrefGoogle ScholarFrandsen, Brigham, Markus Frölich, and Blaise Melly. 2012. “Quantile Treatment Effects in the Regression Discontinuity Design.” Journal of Econometrics 168 (2): 382–95. CrossrefGoogle ScholarFrölich, Markus. 2007. “Nonparametric IV Estimation of Local Average Treatment Effects with Covariates.” Journal of Econometrics 139 (1): 35–75. CrossrefGoogle ScholarFrölich, Markus and Blaise Melly. 2010. “Estimation of Quantile Treatment Effects with Stata.” Stata Journal 19 (3): 423–57. CrossrefGoogle ScholarHeckman, James, Jeffrey Smith, and Nancy Clements. 1997. “Making the Most Out of Social Experiments: Accounting for Heterogeneity in Program Impacts.” Review of Economic Studies 64 (4): 487–535. CrossrefGoogle ScholarKoenker, Roger and Gilbert Bassett. 1978. “Regression Quantiles.” Econometrica 46 (1): 33–50. CrossrefGoogle ScholarMelly, Blaise. 2006. “Estimation of Counterfactual Distributions Using Quantile Regression.” Discussion paper, Universität St. Gallen. http://www.alexandria.unisg.ch/Publikationen/22644. Google ScholarPowell, David. 2020. “Quantile Treatment Effects in the Presence of Covariates.” Review of Economics and Statistics 102 (5): 994–1005. CrossrefGoogle ScholarSchiele, Valentin and Hendrik Schmitz. 2016. “Quantile Treatment Effects of Job Loss on Health.” Journal of Health Economics 49 (C): 59–69. CrossrefGoogle ScholarSchultz, T. Paul and Germano Mwabu. 1998. “Labor Unions and the Distribution of Wages and Employment in South Africa.” Industrial and Labor Relations Review 51 (4): 680–703. CrossrefGoogle Scholar Previous chapterNext chapter FiguresreferencesRecommendeddetails View Published: January 2022ISBN: 978-1-4648-1497-6e-ISBN: 978-1-4648-1498-3 Copyright & Permissions Related TopicsMacroeconomics and Economic GrowthScience and Technology Development KeywordsIMPACT EVALUATIONMONITORING AND EVALUATIONM&EPERFORMANCE EVALUATIONEVALUATION APPROACHESESTIMATION WEIGHTSRANDOMIZED CONTROLLED TRIALSRCTSMEAN PDF DownloadLoading ...