2002
DOI: 10.1016/s0927-5371(02)00006-4
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Screening (and creaming?) applicants to job training programs: the AFDC homemaker–home health aide demonstrations

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Cited by 63 publications
(62 citation statements)
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“…A direct comparison of these two groups would thus be biased in favor of the non-recipients because they have a "head start" over the recipients. A study in the United States on the granting of service found that most of the granting process remained unexplained and therefore indicated that the process was largely governed by subjective assessments by individual case workers, favoring, for Saltychev et al example, people with the most potential gain from the service (optimizing the economic efficiency) or people most likely to succeed ("creaming") (36). In this study, we used propensity-based matching to handle treatment selection bias.…”
Section: Discussionmentioning
confidence: 99%
“…A direct comparison of these two groups would thus be biased in favor of the non-recipients because they have a "head start" over the recipients. A study in the United States on the granting of service found that most of the granting process remained unexplained and therefore indicated that the process was largely governed by subjective assessments by individual case workers, favoring, for Saltychev et al example, people with the most potential gain from the service (optimizing the economic efficiency) or people most likely to succeed ("creaming") (36). In this study, we used propensity-based matching to handle treatment selection bias.…”
Section: Discussionmentioning
confidence: 99%
“…10 Carneiro, Hansen, and Heckman (2001) demonstrate that most of the variation in future earnings gains is unforecastable, even for college graduates. Bell and Orr (2002) show that caseworkers do a poor job of predicting a ∆ in a program that provided job training to welfare recipients.…”
Section: Discussionmentioning
confidence: 99%
“…The experiences from the Job Training Partnership Act (JTPA) showed that tying the funding to the performance of local programmes as measured by job placement rates creates the incentive to serve the most able applicants, without regarding how much different groups might have benefited from programmes (see for example Bell and Orr (2002) as 'a procedure where a numerical score, calculated on the basis of multivariate information, determines the referral of a job-seeker to further employment services'. Based on this definition, we will present three approaches to identify potential sources of effect heterogeneity, which could be used, if successful, for a better targeting in future.…”
Section: Matching Quality and First Resultsmentioning
confidence: 99%