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Program Quality and Treatment Completion for Youth Training Programs

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  • Dammert, Ana C.

    ()
    (Carleton University)

  • Galdo, Jose C.

    ()
    (Carleton University)

Abstract

This paper analyzes the effects of training quality on the likelihood of treatment completion by estimating dose-response functions via a generalized propensity score. Results show a statistically positive relationship between training quality and treatment completion for youth participants in Peru.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 7394.

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Length: 14 pages
Date of creation: May 2013
Date of revision:
Publication status: published in: Economics Letters, 2013, 119 (3), 243-246
Handle: RePEc:iza:izadps:dp7394

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Keywords: dose-response functions; training; quality; dropouts; propensity scores;

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References

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  1. Michael Gerfin & Michael Lechner, 2002. "A Microeconometric Evaluation of the Active Labour Market Policy in Switzerland," Economic Journal, Royal Economic Society, Royal Economic Society, vol. 112(482), pages 854-893, October.
  2. James Heckman & Jeffrey Smith & Christopher Taber, 1998. "Accounting For Dropouts In Evaluations Of Social Programs," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 1-14, February.
  3. Eric A. Hanushek & Victor Lavy & Kohtaro Hitomi, 2008. "Do Students Care about School Quality? Determinants of Dropout Behavior in Developing Countries," Journal of Human Capital, University of Chicago Press, University of Chicago Press, vol. 2(1), pages 69-105.
  4. Kluve, Jochen & Schneider, Hilmar & Uhlendorff, Arne & Zhao, Zhong, 2007. "Evaluating Continuous Training Programs Using the Generalized Propensity Score," IZA Discussion Papers 3255, Institute for the Study of Labor (IZA).
  5. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, 04.
  6. Carlos A. Flores & Alfonso Flores-Lagunes & Arturo Gonzalez & Todd C. Neumann, 2012. "Estimating the Effects of Length of Exposure to Instruction in a Training Program: The Case of Job Corps," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 153-171, February.
  7. James Heckman & Neil Hohmann & Jeffrey Smith, 1998. "Substitution and Dropout Bias in Social Experiments: A Study of an Influential Social Experiment," UWO Department of Economics Working Papers, University of Western Ontario, Department of Economics 9819, University of Western Ontario, Department of Economics.
  8. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center, Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
  9. FLORES-LAGUNES Alfonso & CHOE Chung & LEE Sang-Jun, 2011. "Do Dropouts Benefit from Training Programs? Korean Evidence Employing Methods for Continuous Treatments," CEPS/INSTEAD Working Paper Series 2011-34, CEPS/INSTEAD.
  10. Galdo, Jose & Chong, Alberto, 2012. "Does the quality of public-sponsored training programs matter? Evidence from bidding processes data," Labour Economics, Elsevier, Elsevier, vol. 19(6), pages 970-986.
  11. Waller, Marie, 2008. "Further training for the unemployed : what can we learn about dropouts from administrative data?," FDZ Methodenreport, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany] 200804_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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