IDEAS home Printed from https://ideas.repec.org/p/usg/dp2006/2006-09.html
   My bibliography  Save this paper

Statistical Assistance for Programme Selection - For a Better Targeting of Active Labour Market Policies in Switzerland

Author

Listed:
  • Stefanie Behncke

    ()

  • Markus Frölich

    ()

  • Michael Lechner

    ()

Abstract

In this paper the motivation and various concepts of statistical systems for assisting case workers in assigning unemployed persons to active labour market programmes (ALMP) are examined and the particular implementation of such a statistical system in Switzerland, which was introduced in the form of a randomized pilot study, is discussed.

Suggested Citation

  • Stefanie Behncke & Markus Frölich & Michael Lechner, 2006. "Statistical Assistance for Programme Selection - For a Better Targeting of Active Labour Market Policies in Switzerland," University of St. Gallen Department of Economics working paper series 2006 2006-09, Department of Economics, University of St. Gallen.
  • Handle: RePEc:usg:dp2006:2006-09
    as

    Download full text from publisher

    File URL: http://ux-tauri.unisg.ch/RePEc/usg/dp2006/DP09_Be.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Markus Frölich & Michael Lechner & Heidi Steiger, 2003. "Statistically Assisted Programme Selection - International Experiences and Potential Benefits for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 139(III), pages 311-331, September.
    2. Randall W. Eberts, 2005. "After the doors close: assisting laid-off workers to find jobs," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q II, pages 75-85.
    3. 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.
    4. Marco Caliendo & Reinhard Hujer & Stephan Thomsen, 2008. "Identifying effect heterogeneity to improve the efficiency of job creation schemes in Germany," Applied Economics, Taylor & Francis Journals, vol. 40(9), pages 1101-1122.
    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. 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. Jonas Staghøj & Michael Svarer & Michael Rosholm, 2010. "Choosing the Best Training Programme: Is there a Case for Statistical Treatment Rules?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(2), pages 172-201, April.
    3. Loxha, Artan & Morgandi, Matteo, 2014. "Profiling the unemployed : a review of OECD experiences and implications for emerging economics," Social Protection and Labor Policy and Technical Notes 91051, The World Bank.

    More about this item

    Keywords

    Statistical treatment rules; treatment effect heterogeneity;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

    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:usg:dp2006:2006-09. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joerg Baumberger). General contact details of provider: http://edirc.repec.org/data/vwasgch.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.