IDEAS home Printed from https://ideas.repec.org/p/lvl/pmmacr/2008-02.html
   My bibliography  Save this paper

Household Wealth and Heterogeneous Impacts of a Market-Based Training Program: The Case of PROJOVEN in Peru

Author

Listed:
  • Jose Galdo
  • Miguel Jaramillo
  • Veronica Montalva

Abstract

This paper analyzes the relationship between households' wealth and heterogeneous treatment impacts for a market-based training program that has benefited more than 40,000 disadvantaged individuals in Peru since 1996. We proxy long-run wealth by a linear index based on 21 households assets, and three main findings emerge. First, we find that voluntary choices among eligibles, rather than administrative choices, play a bigger role in explaining demographic disparities in program participation. Second, quantile treatment effects on the treated suggest important differences in program impacts at different quantiles of earnings, and strong differences in distributional impacts for men and women. Third, both parametric-based and semiparametric regression-matching estimates reveal that the poorest among the poor benefit the same from the program. It is the type of institution that provides the training services that largely accounts for the heterogeneity of the impacts.

Suggested Citation

  • Jose Galdo & Miguel Jaramillo & Veronica Montalva, 2008. "Household Wealth and Heterogeneous Impacts of a Market-Based Training Program: The Case of PROJOVEN in Peru," Working Papers PMMA 2008-02, PEP-PMMA.
  • Handle: RePEc:lvl:pmmacr:2008-02
    as

    Download full text from publisher

    File URL: https://portal.pep-net.org/documents/download/id/12044
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. José Tavera & Tilsa Oré & Ramiro Malaga, 2017. "The dynamics of Peruvians who do not study or work: who they are, how are they doing and how they have changed," Apuntes. Revista de ciencias sociales, Fondo Editorial, Universidad del Pacífico, vol. 44(80), pages 5-49.
    2. Pablo Lavado & Jamele Rigolini & Gustavo Yamada, 2015. "Giving Peru a productivity boost : towards a system of continuous education and training," Working Papers 15-16, Centro de Investigación, Universidad del Pacífico.
    3. Maria Laura Alzúa & Soyolmaa Batbekh & Altantsetseg Batchuluun & Bayarmaa Dalkhjav & José Galdo, 2021. "Demand-Driven Youth Training Programs: Experimental Evidence from Mongolia," The World Bank Economic Review, World Bank, vol. 35(3), pages 720-744.
    4. Janice Tripney & Jorge Hombrados & Mark Newman & Kimberly Hovish & Chris Brown & Katarzyna Steinka‐Fry & Eric Wilkey, 2013. "Technical and Vocational Education and Training (TVET) Interventions to Improve the Employability and Employment of Young People in Low‐ and Middle‐Income Countries: A Systematic Review," Campbell Systematic Reviews, John Wiley & Sons, vol. 9(1), pages 1-171.
    5. Maria Laura Alzúa & Soyolmaa Batbekh & Altantsetseg Batchuluun & Bayarmaa Dalkhjavd & José Galdo, 2019. "Living with the Neighbors: Demand-Driven Youth Training Programs: Experimental Evidence from Mongolia," CEDLAS, Working Papers 0249, CEDLAS, Universidad Nacional de La Plata.
    6. Ana Luna & Miguel Nuñez-del-Prado & Jose Luján & Luis Mantilla García & Daniel Malca, 2017. "Alternative setup for estimating reliable frequency values in a ripple tank," Working Papers 17-01, Centro de Investigación, Universidad del Pacífico.

    More about this item

    Keywords

    Training; program evaluation; factor analysis; poverty; quantiles; matching methods;
    All these keywords.

    JEL classification:

    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    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:lvl:pmmacr:2008-02. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Manuel Paradis (email available below). General contact details of provider: https://edirc.repec.org/data/cdvlvca.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.