IDEAS home Printed from https://ideas.repec.org/b/wfo/wstudy/69250.html
   My bibliography  Save this book

Evaluierung der Effektivität und Effizienz von Qualifizierungsförderungen des Arbeitsmarktservice Österreich

Author

Listed:
  • Rainer Eppel

    (WIFO)

  • Ulrike Huemer

    (WIFO)

  • Helmut Mahringer

    (WIFO)

  • Lukas Schmoigl

    (WIFO)

Abstract

Die vorliegende Studie hat eine umfangreiche Evaluierung der Effektivität und Effizienz der vom Arbeitsmarktservice gesetzten Qualifizierungsförderungen für arbeitslose Personen zum Gegenstand. Dabei beleuchtet sie nicht nur Effektunterschiede zwischen zahlreichen Subgruppen von Arbeitslosen, sondern unterscheidet vor allem auch stärker als bisher unterschiedliche Subtypen von Maßnahmen hinsichtlich Trägertyp, Inhalt, Abschlussart, Förderintensität und Zielgruppenorientierung. Die Ergebnisse illustrieren eindrücklich: Kurs ist nicht gleich Kurs. Die vom AMS eingesetzten Qualifizierungsförderungen sind äußerst heterogen zum einen in ihrer Ausgestaltung und zum anderen in ihrer Wirkung. Deshalb bleibt wertvolles Wissen über ihren Einsatz und ihre Wirkung verborgen, wenn beim Fördermonitoring nicht ausreichend differenziert wird. Die Studie zeigt Möglichkeiten auf, die Informationslage zu den umgesetzten Maßnahmen weiter zu verbessern.

Suggested Citation

  • Rainer Eppel & Ulrike Huemer & Helmut Mahringer & Lukas Schmoigl, 2022. "Evaluierung der Effektivität und Effizienz von Qualifizierungsförderungen des Arbeitsmarktservice Österreich," WIFO Studies, WIFO, number 69250, June.
    • Handle: RePEc:wfo:wstudy:69250
    Note: With English abstract.
    as

    Download full text from publisher

    File URL: https://www.wifo.ac.at/wwa/pubid/69250
    File Function: abstract
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin Biewen & Bernd Fitzenberger & Aderonke Osikominu & Marie Paul, 2014. "The Effectiveness of Public-Sponsored Training Revisited: The Importance of Data and Methodological Choices," Journal of Labor Economics, University of Chicago Press, vol. 32(4), pages 837-897.
    2. Fredriksson, Peter & Johansson, Per, 2008. "Dynamic Treatment Assignment," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 435-445.
    3. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar A., 2017. "Unobservable, but unimportant? The relevance of usually unobserved variables for the evaluation of labor market policies," Labour Economics, Elsevier, vol. 46(C), pages 14-25.
    4. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    5. Sue Maguire, 2020. "Youth 2020 — Preventing Another Lost Generation?," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 55(6), pages 356-360, November.
    6. Sianesi, Barbara, 2008. "Differential effects of active labour market programs for the unemployed," Labour Economics, Elsevier, vol. 15(3), pages 370-399, June.
    7. Rainer Eppel & Helmut Mahringer & Andrea Weber & Christine Zulehner, 2011. "Evaluierung der Eingliederungsbeihilfe," WIFO Studies, WIFO, number 42771, June.
    8. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar A., 2014. "Unobservable, but Unimportant? The Influence of Personality Traits (and Other Usually Unobserved Variables) for the Evaluation of Labor Market Policies," IZA Discussion Papers 8337, Institute of Labor Economics (IZA).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cerqua, Augusto & Urwin, Peter & Thomson, Dave & Bibby, David, 2020. "Evaluation of education and training impacts for the unemployed: Challenges of new data," Labour Economics, Elsevier, vol. 67(C).
    2. Hagen, Tobias, 2016. "Econometric Evaluation of a Placement Coaching Program for Recipients of Disability Insurance Benefits in Switzerland," VfS Annual Conference 2016 (Augsburg): Demographic Change 145736, Verein für Socialpolitik / German Economic Association.
    3. Mörk, Eva & Ottosson, Lillit & Vikman, Ulrika, 2021. "To work or not to work? Effects of temporary public employment on future employment and benefits," Working Paper Series 2021:12, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    4. Hagen, Tobias, 2016. "Econometric evaluation of a placement coaching program for recipients of disability insurance benefits in Switzerland," Working Paper Series 10, Frankfurt University of Applied Sciences, Faculty of Business and Law.
    5. Fitzenberger, Bernd & Furdas, Marina & Sajons, Christoph, 2016. "End-of-year spending and the long-run employment effects of training programs for the unemployed," Freiburg Discussion Papers on Constitutional Economics 16/08, Walter Eucken Institut e.V..
    6. Christine Dauth & Julia Lang, 2019. "Can the unemployed be trained to care for the elderly? The effects of subsidized training in elderly care," Health Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 543-555, April.
    7. Dauth, Christine & Lang, Julia, 2017. "Should the unemployed care for the elderly? : The effect of subsidized occupational and further training in elderly care," IAB-Discussion Paper 201713, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    8. Lang, Julia & Dauth, Christine, 2017. "Should the unemployed care for the elderly? The effect of subsidized occupational and further training in geriatric care," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168130, Verein für Socialpolitik / German Economic Association.
    9. Cockx, Bart & Lechner, Michael & Bollens, Joost, 2023. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Labour Economics, Elsevier, vol. 80(C).
    10. Marloes Lammers & Lucy Kok, 2021. "Are active labor market policies (cost-)effective in the long run? Evidence from the Netherlands," Empirical Economics, Springer, vol. 60(4), pages 1719-1746, April.
    11. Tobias Brändle & Lukas Fervers, 2021. "Give it Another Try: What are the Effects of a Job Creation Scheme Especially Designed for Hard-to-Place Workers?," Journal of Labor Research, Springer, vol. 42(3), pages 382-417, December.
    12. Bernhard Boockmann & Tobias Brändle, 2019. "Coaching, Counseling, Case‐Working: Do They Help the Older Unemployed Out of Benefit Receipt and Back Into the Labor Market?," German Economic Review, Verein für Socialpolitik, vol. 20(4), pages 436-468, November.
    13. Canzian, Giulia & Meroni, Elena Claudia & Santangelo, Giulia, 2023. "Evaluation of a Flemish Active Labour Market Policy in the framework of the European Social Fund. Results and challenges," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    14. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 871-905, August.
    15. Francesco Pastore & Marco Pompili, 2020. "Assessing the Impact of Off-the-Job and On-the-Job Training on Employment Outcomes: A Counterfactual Evaluation of the PIPOL Program," Evaluation Review, , vol. 44(2-3), pages 145-184, April.
    16. Goller, Daniel & Lechner, Michael & Moczall, Andreas & Wolff, Joachim, 2020. "Does the estimation of the propensity score by machine learning improve matching estimation? The case of Germany's programmes for long term unemployed," Labour Economics, Elsevier, vol. 65(C).
    17. Madoń, Karol & Magda, Iga & Palczyńska, Marta & Smoter, Mateusz, 2021. "What Works for Whom? Youth Labour Market Policy in Poland," IZA Discussion Papers 14793, Institute of Labor Economics (IZA).
    18. Lechner, Michael & Wunsch, Conny, 2013. "Sensitivity of matching-based program evaluations to the availability of control variables," Labour Economics, Elsevier, vol. 21(C), pages 111-121.
    19. Daniel Goller & Tamara Harrer & Michael Lechner & Joachim Wolff, 2021. "Active labour market policies for the long-term unemployed: New evidence from causal machine learning," Papers 2106.10141, arXiv.org, revised May 2023.
    20. Tübbicke, Stefan, 2023. "How sensitive are matching estimates of active labor market policy effects to typically unobserved confounders?," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 57, pages 1-26.

    More about this item

    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:wfo:wstudy:69250. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Florian Mayr (email available below). General contact details of provider: https://edirc.repec.org/data/wifooat.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.