[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-202024-105":59,"doc-detail-202024-en":135},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":128,"head_meta":130,"extra_data":132,"updated_unix":134},105,"en","what-mean-impacts-miss-distributional-effects-of-welfare-reform-experiments","What Mean Impacts Miss - Distributional Effects of Welfare Reform Experiments","","Labor supply theory implies that welfare reform affects different groups in systematically different ways, yet most existing studies focus only on average (mean) impacts on earnings, transfers, and income. This paper uses randomized assignment data from Connecticut’s Jobs First waiver to estimate quantile treatment effects and directly assess heterogeneity. Results show substantial distributional variation, so mean impacts mask significant portions of reform effects. Comparing dropout and other-women samples does not substantially improve mean-based conclusions, indicating effects are broader and more diverse than previously recognized.",{"@graph":69,"@context":127},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/what-mean-impacts-miss-distributional-effects-of-welfare-reform-experiments/202024/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/what-mean-impacts-miss-distributional-effects-of-welfare-reform-experiments/202024.png","ImageObject",300,407,{"name":92,"@type":93},"Alex Sinclair","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-02","2026-09-04",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",18,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119,123],{"name":110,"@type":111,"acceptedAnswer":112},"Why do mean impacts miss important effects of welfare reform?","Question",{"text":113,"@type":114},"Labor supply responses to welfare reforms are predicted to be heterogeneous. Averaging across groups can combine positive and negative responses, obscuring how impacts vary across the income distribution.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"What data and program design are used to study heterogeneity?",{"text":118,"@type":114},"The study uses randomized assignment data from Connecticut’s Jobs First waiver, designed to capture key elements of post-1996 welfare programs.",{"name":120,"@type":111,"acceptedAnswer":121},"What do quantile treatment effect estimates show about welfare reform impacts?",{"text":122,"@type":114},"The estimates reveal substantial heterogeneity consistent with labor supply theory, indicating that impacts differ markedly across quantiles rather than moving uniformly.",{"name":124,"@type":111,"acceptedAnswer":125},"Does splitting the analysis by dropouts and other women improve mean-impact performance?",{"text":126,"@type":114},"No. The study finds that analyzing separate samples of dropouts and other women does not substantially improve the ability of mean impacts to reflect the reform’s effects.","https://schema.org",{"og:url":83,"og:type":129,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":131,"canonical":83},"index,follow",{"doc_id":133,"site_id":62},202024,1788541136,{"code":4,"msg":5,"data":136},{"doc_id":133,"user_id":137,"nickname":92,"user_avatar":138,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":139,"file_id":140,"file_url":141,"file_type":142,"file_size":143,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":144,"language":145,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":146,"faqs":147,"seo_title":148,"seo_description":67,"update_tm":134,"read_time":149,"preview_page_count":4},1099523882182,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","What Mean Impacts Miss: Distributional Effects of Welfare  \nReform Experiments  \nBy MARIANNE P. BITLER, JONAH B. GELBACH, AND HILARY W. HOYNES *  \nLabor supply theory predicts systematic heterogeneity in the impact of recent welfare reforms on earnings, transfers, and income. Yet most welfare reform research focuses on mean impacts. We investigate the importance of heterogeneity using randomassignment data from Connecticut’s Jobs First waiver, which features key elements of post-1996 welfare programs. Estimated quantile treatment effects exhibit the substantial heterogeneity predicted by labor supply theory. Thus mean impacts miss a great deal.  \nLooking separately at samples of dropouts and other women does not improve the performance of mean impacts. We conclude that welfare reform’s effects are likely both more varied and more extensive than has been recognized. (JEL D31, I38, J31)  \nNearly a decade has now passed since the elimination of Aid to Families with Dependent Children (AFDC), the [principal U.S. cash](principal U.S. cash) assistance program for six decades. In 1996, enactment of  \n* Bitler: Public Policy Institute of California, 500 Washington Street, Suite 800, San Francisco, CA 94111 (e-mail: [bitler@ppic.org](bitler@ppic.org)); Gelbach: Department of Economics, University of Maryland at College Park, College Park, MD 20742, and Florida State University College of Law (e-mail: [gelbach@glue.umd.edu](gelbach@glue.umd.edu)); Hoynes: Department of Economics, University of California, Davis, 1152 Social Science and Humanities Building, One Shields Avenue, Davis, CA 95616 (e-mail: [hwhoynes@ucdavis.edu](hwhoynes@ucdavis.edu)). Bitler gratefully acknowledges the financial support of the National Institute of Child Health and Human Development, the National Institute on Aging, and the RAND Corporation. This work has not been formally reviewed or edited. The views and conclusions are those of the authors and do not necessarily represent those of the RAND Corporation or PPIC. The data used in this paper are derived from data files made available to researchers by the Manpower Demonstration Research Corporation (MDRC) . The authors remain solely responsible for how the data have been used or interpreted. We are very grateful to MDRC for providing the public access to the experimental data used here. We would also like to thank two anonymous referees, Dan Bloom, Mary Daly, Jeff Grogger, Richard Hendra, Guido Imbens, Sanders Korenman, Chuck Michalopoulos, Lorien Rice, Jesse Rothstein, Susan Simmat, Jeff Smith, Till von Wachter, Arthur van Soest, and Johanna Walter for helpful conversations, as well as seminar participants from the University of California, Berkeley, University of Chicago Harris School, Cornell University, University of California, Davis, University of Delaware, George Washington University, the IRP Summer Research Workshop, Johns Hopkins University, University of Maryland, the National Bureau of Economic Research, Population Association of America, PPIC, the RAND Corporation, Society of Labor Economists, and Syracuse University.  \nthe Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA) required all 50 states to replace AFDC with a Temporary Assistance for Needy Families (TANF) program. State TANF programs differ from AFDC in many fundamental ways. For example, TANF programs include lifetime limits on program participation, enhanced work incentives through expanded earnings disregards, stringent work requirements, and financial sanctions for failure to comply with these requirements.  \nIn evaluating the economic effects of welfare reform, it is of first-order importance to assess how reform affects family earnings and income. We start with the simple observation that theory makes heterogeneous predictions concerning the sign and magnitude of the response of labor supply and welfare use to these reforms. Notwithstanding this observation, the vast majority of welfare reform studies rely on est","cbCaitzWqYiPsJZe","https://ap.wps.com/l/cbCaitzWqYiPsJZe","pdf",391372,27,"English","# Introduction\n## Theoretical Motivation for Heterogeneity\n## Limits of Mean-Impact Welfare Reform Research\n# Data and Identification Approach\n## Random Assignment: Connecticut’s Jobs First Waiver\n# Evidence on Distributional Effects\n## Quantile Treatment Effects and Heterogeneity\n# Relation to Prior Literature","[{\"question\":\"Why do mean impacts miss important effects of welfare reform?\",\"answer\":\"Labor supply responses to welfare reforms are predicted to be heterogeneous. Averaging across groups can combine positive and negative responses, obscuring how impacts vary across the income distribution.\"},{\"question\":\"What data and program design are used to study heterogeneity?\",\"answer\":\"The study uses randomized assignment data from Connecticut’s Jobs First waiver, designed to capture key elements of post-1996 welfare programs.\"},{\"question\":\"What do quantile treatment effect estimates show about welfare reform impacts?\",\"answer\":\"The estimates reveal substantial heterogeneity consistent with labor supply theory, indicating that impacts differ markedly across quantiles rather than moving uniformly.\"},{\"question\":\"Does splitting the analysis by dropouts and other women improve mean-impact performance?\",\"answer\":\"No. The study finds that analyzing separate samples of dropouts and other women does not substantially improve the ability of mean impacts to reflect the reform’s effects.\"}]","What Mean Impacts Miss - Distributional Effects of Welfare Reform Experiments | PDF",68]