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What Do Welfare-to-Work Demonstrations Reveal to Welfare Reformers?

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Author Info
John V. Pepper ()

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Abstract

Under the new welfare system, states must design and institute programs that both provide assistance and encourage work, two objectives that have thus far appeared incompatible. Will states meet these new requirements? For many innovative programs, the randomized welfare-to-work experiments conducted over the last three decades may be the only source of observed data. While these experiments yield information on the outcomes of mandated treatments, the new regime permits states and localities much discretion. Using data from four experiments conducted in the mid-1980s, this study examines what welfare-to-work demonstrations reveal about outcomes when the treatments are heterogenous. In the absence of assumptions, these data allow us to draw only limited inferences about the labor market outcomes of welfare recipients. Combined with prior information, however, data from experimental demonstrations are informative, suggesting either that the long run federal requirements cannot be met or that these standards will only be met under special circumstances.

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File URL: http://www.virginia.edu/economics/RePEc/vir/virpap/papers/virpap317.pdf
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Publisher Info
Paper provided by University of Virginia, Department of Economics in its series Virginia Economics Online Papers with number 317.

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Length: 42 pages
Date of creation: Aug 1999
Date of revision:
Handle: RePEc:vir:virpap:317

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Web page: http://www.virginia.edu/economics/home.html

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This paper has been announced in the following NEP Reports: References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. John V. Pepper, 2000. "The Intergenerational Transmission Of Welfare Receipt: A Nonparametric Bounds Analysis," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 472-488, August. [Downloadable!] (restricted)
  2. Rajeev Dehejia, 1999. "Program Evaluation as a Decision Problem," NBER Working Papers 6954, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  3. repec:att:wimass:199526r is not listed on IDEAS
  4. Charles F. Manski, 1993. "The Mixing Problem in Program Evaluation," NBER Technical Working Papers 0148, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  5. James J. Heckman, 1991. "Randomization and Social Policy Evaluation," NBER Technical Working Papers 0107, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  6. repec:att:wimass:199217 is not listed on IDEAS
  7. V. Joseph Hotz & Guido W. Imbens & Julie H. Mortimer, 1999. "Predicting the Efficacy of Future Training Programs Using Past Experiences," NBER Technical Working Papers 0238, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Oscar Mitnik, 2008. "How do Training Programs Assign Participants to Training? Characterizing the Assignment Rules of Government Agencies for Welfare-to-Work Programs in California," Working Papers 0907, University of Miami, Department of Economics. [Downloadable!]
    Other versions:
  2. Guildo W. Imbens, 2003. "Sensitivity to Exogeneity Assumptions in Program Evaluation," American Economic Review, American Economic Association, vol. 93(2), pages 126-132, May. [Downloadable!]
  3. John V. Pepper, 1998. "Using Performance Standards to Evaluate Social Programs with Incomplete Outcome Data: General Issues and Application to a Higher Education Block Grant Program," Virginia Economics Online Papers 312, University of Virginia, Department of Economics. [Downloadable!]
    Other versions:
  4. Robert Lemke & Claus Hoerandner & Robert McMahon, 2006. "Student Assessments, Non-test-takers, and School Accountability," Education Economics, Taylor and Francis Journals, vol. 14(2), pages 235-250, June. [Downloadable!] (restricted)
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