IDEAS home Printed from https://ideas.repec.org/p/cea/doctra/e2004_86.html
   My bibliography  Save this paper

Propuestas metodológicas para la evaluación de programas públicos de formación. Una revisión crítica

Author

Listed:

Abstract

Evaluation of public training programs has stronger developed in the last decades because of the use of causal inference methods. This paper shows an overview of the disposable methods of public training programs evaluation in the context of randomized experiments also in observational studies. Additionally, we evaluate the real possibilities of these methods. From a theoretical point of view, these methods can be developed in randomized experiments, although they are often designed over a small size of the population. From another point of view, public training programs evaluation can be implemented with observational methods. We can remark the three main observational methods. The first one is named selection on observables and includes three types of differentiated: subclasiffication, matching estimators and the propensity score. The second one is the difference in difference estimator. From our point of view, this is the more appropiate method when we evaluate public training programs. Finally, the last one use instrumental variables to develop the evaluation. This third method is out from this paper.

Suggested Citation

  • José Manuel Cansino Muñoz-Repiso & Antonio Sánchez Braza, 2004. "Propuestas metodológicas para la evaluación de programas públicos de formación. Una revisión crítica," Economic Working Papers at Centro de Estudios Andaluces E2004/86, Centro de Estudios Andaluces.
  • Handle: RePEc:cea:doctra:e2004_86
    as

    Download full text from publisher

    File URL: http://public.centrodeestudiosandaluces.es/pdfs/E200486.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Evaluation of public training programs; randomized experiments; observational studies; identification; selection on observables; subclasiffication; matching estimators; propensity score; difference-in-difference estimators.;
    All these keywords.

    JEL classification:

    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy

    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:cea:doctra:e2004_86. 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: Susana Mérida (email available below). General contact details of provider: https://edirc.repec.org/data/fcanges.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.