IDEAS home Printed from https://ideas.repec.org/p/wbk/wbrwps/3668.html
   My bibliography  Save this paper

Economic impacts of professional training in the informal sector : the case of the labor force training program in Cote d'Ivoire

Author

Listed:
  • Verner, Dorte
  • Verner, Mette

Abstract

The authors address the economic impact of the labor force training program (PAFPA) developed for the informal sector in Côte d'Ivoire. The data contain a subsample of the participants in the agricultural sector, tailoring sector, and the electronics sector, and a comparable control group of nonparticipants. The data have been analyzed using standard program evaluation tools, namely difference-in-difference estimators, in order to detect potential program impacts. The authors find positive economic impacts as a result of training received for some groups, namely women, the agricultural and electronics sectors, firms employing 1-3 individuals, and firms with 10 or more employees.

Suggested Citation

  • Verner, Dorte & Verner, Mette, 2005. "Economic impacts of professional training in the informal sector : the case of the labor force training program in Cote d'Ivoire," Policy Research Working Paper Series 3668, The World Bank.
    • Handle: RePEc:wbk:wbrwps:3668
    as

    Download full text from publisher

    File URL: http://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2005/07/20/000016406_20050720163951/Rendered/PDF/wps3668.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Card, 1990. "The Impact of the Mariel Boatlift on the Miami Labor Market," ILR Review, Cornell University, ILR School, vol. 43(2), pages 245-257, January.
    2. James J. Heckman & Jeffrey A. Smith, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring.
    3. Judy L. Baker, 2000. "Evaluating the Impact of Development Projects on Poverty : A Handbook for Practitioners," World Bank Publications - Books, The World Bank Group, number 13949.
    4. 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.
    5. Angrist, Joshua D. & Krueger, Alan B., 1999. "Empirical strategies in labor economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 23, pages 1277-1366, Elsevier.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Adewumi, Matthew Olaniyi & Falola, Abraham & Odunlade, Adefemi Oluwadamilola, 2015. "Assessing Income Effect Of Rural Development Programmes: A Case Study Of Community-Based Agriculture And Rural Development Project In Kwara State (Nigeria)," Journal of Agribusiness and Rural Development, University of Life Sciences, Poznan, Poland, vol. 35(4), pages 1-9, October.
    2. Matthew Olaniyi, Adewumi & Falola, Abraham & Adefemi Oluwadamilola, Odunlade, 2015. "Assessing Income Effect Of Rural Development Programmes: A Case Study Of Community-Based Agriculture And Rural Development Project In Kwara State (Nigeria)," Journal of Agribusiness and Rural Development, University of Life Sciences, Poznan, Poland, vol. 2015(38).
    3. Johanson, Richard, 2009. "A review of national training funds," Social Protection Discussion Papers and Notes 52187, The World Bank.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    2. Aydemir, Abdurrahman B. & Kırdar, Murat G., 2017. "Quasi-experimental impact estimates of immigrant labor supply shocks: The role of treatment and comparison group matching and relative skill composition," European Economic Review, Elsevier, vol. 98(C), pages 282-315.
    3. Markus Frölich, 2004. "Programme Evaluation with Multiple Treatments," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 181-224, April.
    4. Donal O'Neill, 2000. "Evaluating Labour Market Interventions," Economics Department Working Paper Series n990300, Department of Economics, National University of Ireland - Maynooth.
    5. Deborah A. Cobb‐Clark & Thomas Crossley, 2003. "Econometrics for Evaluations: An Introduction to Recent Developments," The Economic Record, The Economic Society of Australia, vol. 79(247), pages 491-511, December.
    6. Dan A. Black & Mark C. Berger & Jeffrey A. Smith & Brett J. Noel, 1999. "Is the Threat of Training More Effective Than Training Itself? Experimental Evidence from the UI System," University of Western Ontario, Departmental Research Report Series 9907, University of Western Ontario, Department of Economics.
    7. Bryan S. Graham & James Powell, 2008. "Identification and Estimation of 'Irregular' Correlated Random Coefficient Models," NBER Working Papers 14469, National Bureau of Economic Research, Inc.
    8. Justine Burns & Malcolm Kewsell & Rebecca Thornton, 2009. "Evaluating the Impact of Health Programmes," SALDRU Working Papers 40, Southern Africa Labour and Development Research Unit, University of Cape Town.
    9. Michael Lechner, 2002. "Mikroökonometrische Evaluation arbeitsmarktpolitischer Massnahmen," University of St. Gallen Department of Economics working paper series 2002 2002-20, Department of Economics, University of St. Gallen.
    10. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    11. James J. Heckman, 1991. "Randomization and Social Policy Evaluation Revisited," NBER Technical Working Papers 0107, National Bureau of Economic Research, Inc.
    12. Jeffrey Smith, 2000. "A Critical Survey of Empirical Methods for Evaluating Active Labor Market Policies," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 136(III), pages 247-268, September.
    13. Michael Lechner & Ruth Miquel & Conny Wunsch, 2011. "Long‐Run Effects Of Public Sector Sponsored Training In West Germany," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 742-784, August.
    14. Michael Gerfin & Michael Lechner, 2002. "A Microeconometric Evaluation of the Active Labour Market Policy in Switzerland," Economic Journal, Royal Economic Society, vol. 112(482), pages 854-893, October.
    15. Burt S. Barnow & Jeffrey Smith, 2015. "Employment and Training Programs," NBER Chapters, in: Economics of Means-Tested Transfer Programs in the United States, Volume 2, pages 127-234, National Bureau of Economic Research, Inc.
    16. Christopher J. Ruhm, 2019. "Shackling the Identification Police?," Southern Economic Journal, John Wiley & Sons, vol. 85(4), pages 1016-1026, April.
    17. Richard Blundell & Mike Brewer & Marco Francesconi, 2008. "Job Changes and Hours Changes: Understanding the Path of Labor Supply Adjustment," Journal of Labor Economics, University of Chicago Press, vol. 26(3), pages 421-453, July.
    18. Aki Kangasharju, 2007. "Do Wage Subsidies Increase Employment in Subsidized Firms?," Economica, London School of Economics and Political Science, vol. 74(293), pages 51-67, February.
    19. Christian Volpe Martincus & Jerónimo Carballo, 2010. "Is Export Promotion Effective in Developing Countries? Firm-Level Evidence on the Intensive and Extensive Margins of Exports," IDB Publications (Working Papers) 36763, Inter-American Development Bank.
    20. Heckman, James, 2001. "Accounting for Heterogeneity, Diversity and General Equilibrium in Evaluating Social Programmes," Economic Journal, Royal Economic Society, vol. 111(475), pages 654-699, November.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wbk:wbrwps:3668. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Roula I. Yazigi (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.