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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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  1. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2007. "Evaluating Continuous Training Programs Using the Generalized Propensity Score," Ruhr Economic Papers 0035, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  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. 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 9819, University of Western Ontario, Department of Economics.
  4. Gerfin, Michael & Lechner, Michael, 2000. "Microeconometric Evaluation of the Active Labour Market Policy in Switzerland," IZA Discussion Papers 154, Institute for the Study of Labor (IZA).
  5. 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, vol. 2(1), pages 69-105.
  6. 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 88-12, Chicago - Economics Research Center.
  7. Choe, Chung & Flores-Lagunes, Alfonso & Lee, Sang-Jun, 2011. "Do Dropouts Benefit from Training Programs? Korean Evidence Employing Methods for Continuous Treatments," IZA Discussion Papers 6064, Institute for the Study of Labor (IZA).
  8. Galdo, Jose & Chong, Alberto, 2012. "Does the quality of public-sponsored training programs matter? Evidence from bidding processes data," Labour Economics, Elsevier, vol. 19(6), pages 970-986.
  9. 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.
  10. 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.
  11. Waller, Marie, 2008. "Further training for the unemployed : what can we learn about dropouts from administrative data?," FDZ Methodenreport 200804_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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