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

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  • 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)

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  • 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
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    Cited by:

    1. Eichhorst, Werner & Konle-Seidl, Regina, 2016. "Evaluating Labour Market Policy," IZA Discussion Papers 9966, Institute of Labor Economics (IZA).
    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.

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    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

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