IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp5217.html
   My bibliography  Save this paper

Macroeconometric Evaluation of Active Labour Market Policies in Austria

Author

Listed:
  • Dauth, Wolfgang

    (Institut für Arbeitsmarkt- und Berufsforschung)

  • Hujer, Reinhard

    (Goethe University Frankfurt)

  • Wolf, Katja

    (Institute for Employment Research (IAB), Nuremberg)

Abstract

This paper contributes to the literature on macroeconometric evaluation of active labour market policies (ALMP) by considering the regional effects on both the matching process and the job-seeker rate. We use an unique new data set on all Austrian job-seekers between 2001 to 2007 and apply GMM and Quasi-ML estimators to take into account both the simultaneity of ALMP and spatial interrelations between employment office districts. The results indicate that job schemes in the non-profit sector, wage subsidies, and apprenticeships cause particularly favourable effects on the regional matching function and the job-seeker rate.

Suggested Citation

  • Dauth, Wolfgang & Hujer, Reinhard & Wolf, Katja, 2010. "Macroeconometric Evaluation of Active Labour Market Policies in Austria," IZA Discussion Papers 5217, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp5217
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp5217.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Alessio Brown & Johannes Koettl, 2015. "Active labor market programs - employment gain or fiscal drain?," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-36, December.
    2. Goulas, Eleftherios & Zervoyianni, Athina, 2018. "Active labour-market policies and output growth: Is there a causal relationship?," Economic Modelling, Elsevier, vol. 73(C), pages 1-14.
    3. Rainer Eppel & Helmut Mahringer, 2013. "Do Wage Subsidies Work in Boosting Economic Inclusion? Evidence on Effect Heterogeneity in Austria," WIFO Working Papers 456, WIFO.
    4. Oliver Falck & Siegfried Schönherr, 2016. "An Economic Reform Agenda for Croatia: a comprehensive economic reform package prepared for the Croatian Statehood Foundation," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 70.
    5. Johannes Schweighofer, 2013. "Erzielen die Programme der aktiven Arbeitsmarktpolitik in Österreich ihre beabsichtigten Wirkungen?," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 120, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    6. Michael Stops, 2011. "Job Matching on non-separated Occupational Labour Markets," ERSA conference papers ersa11p372, European Regional Science Association.
    7. Verónica Escudero, 2018. "Are active labour market policies effective in activating and integrating low-skilled individuals? An international comparison," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-26, December.
    8. Ulrike Huemer & Rainer Eppel & Marion Kogler & Helmut Mahringer & Lukas Schmoigl & David Pichler, 2021. "Effektivität von Instrumenten der aktiven Arbeitsmarktpolitik in unterschiedlichen Konjunkturphasen," WIFO Studies, WIFO, number 67250, April.
    9. Michael Stops, 2014. "Job matching across occupational labour markets," Oxford Economic Papers, Oxford University Press, vol. 66(4), pages 940-958.
    10. Rainer Eppel & Helmut Mahringer, 2012. "Do wage subsidies work in boosting economic inclusion? Evidence on e," EcoMod2012 4065, EcoMod.
    11. repec:ilo:ilowps:487304 is not listed on IDEAS

    More about this item

    Keywords

    evaluation; active labour market policy; dynamic panel data model; spatial econometrics;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

    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:iza:izadps:dp5217. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.