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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.
(This abstract was borrowed from another version of this item.)

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," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 4(2), pages 61-68, July.
  • Handle: RePEc:ces:ifodic:v:4:y:2006:i:2:p:14567510
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    File URL: http://www.cesifo-group.de/DocDL/dicereport206-rm1.pdf
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    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. 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.
    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. 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.
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. 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.

    More about this item

    Keywords

    Arbeitsmarktpolitik; Statistisches Auswahlverfahren; Schweiz; Labour market policy; Sample selection; Switzerland;

    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

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