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The Mixing Problem in Program Evaluation

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Author Info
Charles F. Manski

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Abstract

A common concern of evaluation studies is to learn the distribution of outcomes when a specified treatment policy or assignment rule, determines the treatment received by each member of a specified population. Recent studies have emphasized evaluation of policies providing the same treatment to all members of the population. In particular, experiments with randomized treatments have this objective. Policies mandating homogenous treatment of the population are of interest, but so are ones that permit treatment to vary across the population. This paper examines the use of empirical evidence on programs with homogenous treatments to infer the outcomes that would occur if treatment were to vary across the population. Experimental evidence from the Perry Preschool Project is used to illustrate the inferential problem and the main findings of the analysis.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Technical Working Papers with number 0148.

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Date of creation: Dec 1993
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Handle: RePEc:nbr:nberte:0148

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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. Manski, C.F., 1990. "The Selection Problem," Working papers 90-12, Wisconsin Madison - Social Systems.
  2. Manski, C.F. & Sandefur, G.D. & Mclanahan, S. & Powers, D., 1990. "Alternative Estimates Of The Effect Of Family Stucture During Adolescence On Hight School Graduation," Working papers 90-31, Wisconsin Madison - Social Systems.
  3. Bjorklund, Anders & Moffitt, Robert, 1987. "The Estimation of Wage Gains and Welfare Gains in Self-selection," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 42-49, February. [Downloadable!] (restricted)
  4. Horowitz, J.L. & Manski, C.F., 1992. "Identification and Robustness in the Presence of Errors in Data," Working Papers 92-05, University of Iowa, Department of Economics.
  5. Heckman, James J & Honore, Bo E, 1990. "The Empirical Content of the Roy Model," Econometrica, Econometric Society, vol. 58(5), pages 1121-49, September. [Downloadable!] (restricted)
  6. Robinson, Chris, 1989. "The Joint Determination of Union Status and Union Wage Effects: Some Tests of Alternative Models," Journal of Political Economy, University of Chicago Press, vol. 97(3), pages 639-67, June. [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. 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. Caliendo, Marco & Steiner, Viktor, 2005. "Aktive Arbeitsmarktpolitik in Deutschland : Bestandsaufnahme und Bewertung der mikroökonomischen Evaluationsergebnisse (Active labour market policy in Germany * review ans assessment of the microecon," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 38(2/3), pages 396-418. [Downloadable!]
  3. Marco Caliendo & Viktor Steiner, 2005. "Aktive Arbeitsmarktpolitik in Deutschland: Bestandsaufnahme und Bewertung der mikroökonomischen Evaluationsergebnisse," Discussion Papers of DIW Berlin 515, DIW Berlin, German Institute for Economic Research. [Downloadable!]
  4. 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)
  5. Caliendo, Marco & Hujer, Reinhard & Thomsen, Stephan L., 2005. "Identifying effect heterogeneity to improve the efficiency of job creation schemes in Germany," IAB Discussion Paper 200508, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany]. [Downloadable!]
    Other versions:
  6. 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)
  7. Charles F. Manski, 2001. "Designing Programs for Heterogeneous Populations: The Value of Covariate Information," American Economic Review, American Economic Association, vol. 91(2), pages 103-106, May. [Downloadable!] (restricted)
  8. Guido W. Imbens & Whitney K. Newey, 2002. "Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity," NBER Technical Working Papers 0285, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  9. Tomas J. Philipson, 2000. "External Treatment Effects and Program Implementation Bias," NBER Technical Working Papers 0250, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  10. Sergio Firpo, 2004. "Efficient Semiparametric Estimation of Quantile Treatment Effects," Econometric Society 2004 North American Summer Meetings 605, Econometric Society. [Downloadable!]
    Other versions:
  11. Rajeev H. Dehejia, 2002. "Program evaluation as a decision problem," Discussion Papers 0102-23, Columbia University, Department of Economics. [Downloadable!]
    Other versions:
  12. C. F. Manski, . "Learning about social programs from experiments with random assignment of treatments," Institute for Research on Poverty Discussion Papers 1061-95, University of Wisconsin Institute for Research on Poverty. [Downloadable!]
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