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Program Evaluation as a Decision Problem

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Author Info
Rajeev Dehejia

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Abstract

I argue for thinking of program evaluation as a decision problem. In the context of California's GAIN experiment (a randomized trial of a welfare-to-work alternative to AFDC), I show that GAIN first-order stochastically dominates AFDC when considering the choice between the treatment and control programs in terms of average earnings, even though the treatment effect is not statistically significant. I also argue for incorporating the post-evaluation assignment mechanism for the program under consideration into the evaluation process. I show that if policies, such as allowing a career counselor to choose which program individuals join, are included in the evaluation, then GAIN is superior to AFDC whereas the opposite ranking emerges from the standard treatment versus control comparison which ignores potential heterogeneity in the treatment impact.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 6954.

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Date of creation: Feb 1999
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Handle: RePEc:nbr:nberwo:6954

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Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
I38 - Health, Education, and Welfare - - Welfare and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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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. Eberwein, Curtis & Ham, John C & LaLonde, Robert J, 1997. "The Impact of Being Offered and Receiving Classroom Training on the Employment Histories of Disadvantaged Women: Evidence from Experimental Data," Review of Economic Studies, Blackwell Publishing, vol. 64(4), pages 655-82, October. [Downloadable!] (restricted)
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  6. Heckman, James J & Smith, Jeffrey A, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring. [Downloadable!] (restricted)
  7. Nicholas Barberis, 2000. "Investing for the Long Run when Returns Are Predictable," Journal of Finance, American Finance Association, vol. 55(1), pages 225-264, 02. [Downloadable!] (restricted)
  8. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
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  9. 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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  10. Friend, Irwin & Blume, Marshall E, 1975. "The Demand for Risky Assets," American Economic Review, American Economic Association, vol. 65(5), pages 900-922, December. [Downloadable!] (restricted)
  11. Heckman, James J & Smith, Jeffrey, 1997. "Making the Most Out of Programme Evaluations and Social Experiments: Accounting for Heterogeneity in Programme Impacts," Review of Economic Studies, Blackwell Publishing, vol. 64(4), pages 487-535, October. [Downloadable!] (restricted)
  12. Dan A. Black & Jeffrey A. Smith & Mark C. Berger & Brett J. Noel, 1999. "Is the Threat of Training More Effective Than Training Itself? Experimental Evidence from the UI System," UWO Department of Economics Working Papers 9913, University of Western Ontario, Department of Economics. [Downloadable!]
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  13. Manski, Charles F., 2000. "Identification problems and decisions under ambiguity: Empirical analysis of treatment response and normative analysis of treatment choice," Journal of Econometrics, Elsevier, vol. 95(2), pages 415-442, April. [Downloadable!] (restricted)
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  16. Kandel, Shmuel & Stambaugh, Robert F, 1996. " On the Predictability of Stock Returns: An Asset-Allocation Perspective," Journal of Finance, American Finance Association, vol. 51(2), pages 385-424, June. [Downloadable!] (restricted)
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  17. Mark C. Berger & Dan Black & Jeffrey Smith, 2000. "Evaluating Profiling as a Means of Allocating Government Services," UWO Department of Economics Working Papers 200018, University of Western Ontario, Department of Economics. [Downloadable!]
  18. James J. Heckman, 1989. "Choosing Among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs: The Case of Manpower Training," NBER Working Papers 2861, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  19. James J. Heckman & Jeffrey A. Smith, 1998. "Evaluating the Welfare State," NBER Working Papers 6542, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  20. Chib, Siddhartha, 1992. "Bayes inference in the Tobit censored regression model," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 79-99. [Downloadable!] (restricted)
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  22. Caballero, Ricardo J, 1991. "Earnings Uncertainty and Aggregate Wealth Accumulation," American Economic Review, American Economic Association, vol. 81(4), pages 859-71, September. [Downloadable!] (restricted)
Full references

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. John V. Pepper, 1999. "What Do Welfare-to-Work Demonstrations Reveal to Welfare Reformers?," Virginia Economics Online Papers 317, University of Virginia, Department of Economics. [Downloadable!]
    Other versions:
  2. Marianne Bitler & Jonah Gelbach & Hilary Hoynes, 2003. "What Mean Impacts Miss: Distributional Effects of Welfare Reform Experiments," NBER Working Papers 10121, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  3. Sourafel Girma & Holger Görg, 2006. "Evaluating the foreign ownership wage premium using a difference-indifferences matching approach," The Institute for International Integration Studies Discussion Paper Series iiisdp165, IIIS. [Downloadable!]
    Other versions:
  4. Charles F. Manski, 2000. "Using Studies of Treatment Response to Inform Treatment Choice in Heterogeneous Populations," NBER Technical Working Papers 0263, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  5. Weber, Andrea, 2008. "Individual Incentives in Program Participation: Splitting up the Process in Assignment and Enrollment," IZA Discussion Papers 3404, Institute for the Study of Labor (IZA). [Downloadable!]
  6. Lechner, Michael & Smith, Jeffrey, 2003. "What is the Value Added by Caseworkers?," CEPR Discussion Papers 3825, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
    Other versions:
  7. Mark C. Berger & Dan Black & Jeffrey Smith, 2000. "Evaluating Profiling as a Means of Allocating Government Services," UWO Department of Economics Working Papers 200018, University of Western Ontario, Department of Economics. [Downloadable!]
  8. Charles F. Manski, 1999. "Statistical Treatment Rules for Heterogeneous Populations: With Application to Randomized Experiments," NBER Technical Working Papers 0242, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  9. Rajeev Dehejia, 2000. "Was There a Riverside Miracle? A Framework for Evaluating Multi-Site Programs," NBER Working Papers 7844, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  10. William A. Brock & Steven N. Durlauf & Kenneth D. West, 2003. "Policy Evaluation in Uncertain Economic Environments," NBER Working Papers 10025, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  11. Behncke, Stefanie & Frölich, Markus & Lechner, Michael, 2007. "Targeting Labour Market Programmes - Results from A Randomised Experiment," CEPR Discussion Papers 6537, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
    Other versions:
  12. Charles F. Manski, 2005. "Fractional Treatment Rules for Social Diversification of Indivisible Private Risks," NBER Working Papers 11675, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  13. Mingliang Li & Dale J. Poirier & Justin L. Tobias, 2004. "Do dropouts suffer from dropping out? Estimation and prediction of outcome gains in generalized selection models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(2), pages 203-225. [Downloadable!]
    Other versions:
  14. Anirban Basu & Daniel Polsky & Willard G. Manning, 2008. "Use of Propensity Scores in Non-Linear Response Models: The Case for Health Care Expenditures," NBER Working Papers 14086, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  15. Tuomas Takalo & Tanja Tanayama & Otto Toivanen, 2005. "Selection Or Self-Rejection? Applications Into A Treatment," Industrial Organization 0510002, EconWPA. [Downloadable!]
  16. Charles Manski, 2003. "Statistical treatment rules for heterogeneous populations," CeMMAP working papers CWP03/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies. [Downloadable!]
    Other versions:
  17. Rajeev H. Dehejia, 2002. "Program evaluation as a decision problem," Discussion Papers 0102-23, Columbia University, Department of Economics. [Downloadable!]
    Other versions:
  18. Rajeev H. Dehejia, 2002. "Was there a Riverside miracle? An hierarchical framework for evaluating programs with grouped data," Discussion Papers 0102-15, Columbia University, Department of Economics. [Downloadable!]
    Other versions:
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