National Poverty Center Working Paper Series What Mean Impacts Miss: Distributional Effects of Welfare Reform Experiments What Mean Impacts Miss: Distributional Effects of Welfare Reform Experiments

By Gerald R. Ford, M. Bitler, Jonah B. Gelbach, H. Hoynes, Davis, Nber, M. Daly, Guido W. Imbens, Lorien A. Rice, Jeffrey A. Smith

Citations in the corpus

• Quantile Treatment Effects of College Quality on Earnings: Evidence from Administrative Data in Texas. NBER Working Paper No. 18068. (2012, unknown): “in Panel C, the earnings distributions for those who were in other areas of Texas are the same regardless of whether they currently live in Texas.(8) Overall, Figure 1 presents little evidence of systematic attrition by higher or lower earning students, which suggests our inability to observe earnin”
• EXPERIMENTAL ANALYSIS OF NEIGHBORHOOD EFFECTS ON YOUTH (2004, unknown): “5 See Manski (1993) on the distinctions between endogenous and exogenous social interactions.”
• PARTIAL IDENTIFICATION OF THE DISTRIBUTION OF TREATMENT EFFECTS AND ITS CONFIDENCE SETS (2009, unknown): “…social experiments such as PROGRESA; Black, Smith, Berger, and Noel (2003) who evaluated the Worker Profiling and Reemployment Services system; and Bitler, Gelbach, and Hoynes (2006) who studied the welfare effect of the change from Aid to Families with Dependent Children (AFDC) to Temporary…”
• Identification of Nonseparable Models Using Instruments With Small Support (2015, unknown): “See, for example, Abadie, Angrist, and Imbens (2002), Bitler, Gelbach, and Hoynes (2006), Firpo (2007), and Djebbari and Smith (2008).”
• Modeling heterogeneous treatment effects in large-scale experiments using Bayesian Additive Regression Trees (2010, unknown): “…et al. 2002; Royston and Sauerbrei 2004; Rothwell 2005) and econometrics (e.g., Heckman, Smith, and Clements 1997; Abadie 2003; Poirier and Tobias 2003; Angrist 2004; Dehejia 2005; Bitler, Gelbach, and Hoynes 2006, 2009; Abbring and Heckman 2007; Crump et al. 2008; Djeb- 1 bari and Smith 2008).”
• Comparing distributions by multiple testing across quantiles or CDF values (2017, unknown): “fidence bands, Buja and Rolke (2006) appear to be the first to achieve “even sensitivity” by using the probability integral transform.”