IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v50y2018i51p5561-5578.html

Active labour market policies in Germany: do regional labour markets benefit?

Author

Listed:
  • Rüdiger Wapler
  • Daniel Werner
  • Katja Wolf

Abstract

This article examines on a regional level whether active labour market policies (ALMP) improve the matching process. To take the fact of heterogeneous search effectiveness during programme participation into account, we distinguish between current and former programme participants. Our findings based on a regional augmented matching function show that higher search effectiveness due to ALMP is not outweighed by indirect effects on nonparticipants. The total number of matches in a region increases with a higher share of former programme participants among the jobseekers. However, these effects largely differ between programme types.Abbreviation OECD (Organisation for Economic Co-operation and Development)ALMP (active labour market policy)

Suggested Citation

  • Rüdiger Wapler & Daniel Werner & Katja Wolf, 2018. "Active labour market policies in Germany: do regional labour markets benefit?," Applied Economics, Taylor & Francis Journals, vol. 50(51), pages 5561-5578, November.
  • Handle: RePEc:taf:applec:v:50:y:2018:i:51:p:5561-5578
    DOI: 10.1080/00036846.2018.1487526
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2018.1487526
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2018.1487526?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    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. Eichhorst, Werner & Konle-Seidl, Regina, 2016. "Evaluating Labour Market Policy," IZA Discussion Papers 9966, IZA Network @ LISER.
    2. Ulrike Unterhofer & Conny Wunsch, 2022. "Macroeconomic Effects of Active Labour Market Policies: A Novel Instrumental Variables Approach," Papers 2211.12437, arXiv.org.
    3. Melvin Vooren & Carla Haelermans & Wim Groot & Henriette Maassen van den Brink, 2022. "Make IT Work: The Labor Market Effects of Information Technology Retraining in the Netherlands," De Economist, Springer, vol. 170(3), pages 323-342, August.
    4. Wapler, Rüdiger & Wolf, Katja & Wolff, Joachim, 2018. "Do active labour market policies for welfare recipients in Germany raise their regional outflow into work? : A matching function approach," IAB-Discussion Paper 201808, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Wapler, Rüdiger & Wolf, Katja & Wolff, Joachim, 2022. "Do active labor market policies for welfare recipients in Germany raise their regional outflow into work?," Journal of Policy Modeling, Elsevier, vol. 44(3), pages 550-563.
    6. Büttner, Thomas & Schewe, Torben & Stephan, Gesine, 2015. "Wirkung arbeitsmarktpolitischer Instrumente im SGB III: Maßnahmen auf dem Prüfstand (Measures under scrutiny : The effectiveness of active labor market policy instruments in Germany)," IAB-Kurzbericht 201508, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Marwa Sahnoun & Chokri Abdennadher, 2018. "The assessment of active labor market policies: evidence from OECD countries," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(2), pages 257-283, August.

    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single 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
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - 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:taf:applec:v:50:y:2018:i:51:p:5561-5578. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.