IDEAS home Printed from https://ideas.repec.org/a/spr/jlabrs/v49y2016i1d10.1007_s12651-016-0202-4.html
   My bibliography  Save this article

Determinanten der Weiterbildungsbereitschaft: Ergebnisse eines faktoriellen Surveys unter Arbeitslosen
[What determines the motivation for further training? Results from a factorial survey among jobseekers]

Author

Listed:
  • C. Osiander

    (Institut für Arbeitsmarkt- und Berufsforschung (IAB))

  • M. Dietz

    (Institut für Arbeitsmarkt- und Berufsforschung (IAB))

Abstract

Zusammenfassung Öffentlich geförderte Weiterbildungen für Arbeitslose sind ein wichtiges Instrument der aktiven Arbeitsmarktpolitik. Die Bereitschaft der potenziell Geförderten zur Teilnahme ist wichtig, weil sie die individuelle Teilnahmeentscheidung und den erfolgreichen Abschluss solcher Maßnahmen beeinflussen kann. Sie könnte u. a. durch finanzielle Anreize gestärkt werden. Wir untersuchen mittels Befragungsdaten von netto rund 4000 Arbeitslosen aus den Rechtskreisen SGB und SGB II, wie verschiedene Merkmale die subjektiv geäußerte Wahrscheinlichkeit, an einer solchen Maßnahme teilzunehmen, beeinflussen. Dabei verwenden wir einen faktoriellen Survey, auch als Vignettenanalyse bekannt, sowie Prozessdaten der Bundesagentur für Arbeit, in denen Informationen über die Beschäftigungs- und Arbeitslosigkeitshistorie verfügbar sind. Multivariate Analysen ergeben, dass die Dauer einer Weiterbildung, monatliche Zuzahlungen zum Arbeitslosengeld, Prämien für erfolgreichen Abschluss und die vermuteten anschließenden Beschäftigungschancen größtenteils den theoretisch erwarteten Einfluss auf die geäußerte Teilnahmewahrscheinlichkeit ausüben.

Suggested Citation

  • C. Osiander & M. Dietz, 2016. "Determinanten der Weiterbildungsbereitschaft: Ergebnisse eines faktoriellen Surveys unter Arbeitslosen [What determines the motivation for further training? Results from a factorial survey among jo," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 49(1), pages 59-76, July.
    • Handle: RePEc:spr:jlabrs:v:49:y:2016:i:1:d:10.1007_s12651-016-0202-4
    DOI: 10.1007/s12651-016-0202-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12651-016-0202-4
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1007/s12651-016-0202-4?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
    ---><---

    References listed on IDEAS

    as
    1. Didier Fouarge & Trudie Schils & Andries de Grip, 2013. "Why do low-educated workers invest less in further training?," Applied Economics, Taylor & Francis Journals, vol. 45(18), pages 2587-2601, June.
    2. Uri Gneezy & Stephan Meier & Pedro Rey-Biel, 2011. "When and Why Incentives (Don't) Work to Modify Behavior," Journal of Economic Perspectives, American Economic Association, vol. 25(4), pages 191-210, Fall.
    3. Belzil, Christian & Leonardi, Marco, 2007. "Can risk aversion explain schooling attainments? Evidence from Italy," Labour Economics, Elsevier, vol. 14(6), pages 957-970, December.
    4. Liam Delaney & Orla Doyle, 2008. "The early childhood determinants of time preferences," Open Access publications 10197/1213, School of Economics, University College Dublin.
    5. Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, May.
    6. Thaler, Richard, 1981. "Some empirical evidence on dynamic inconsistency," Economics Letters, Elsevier, vol. 8(3), pages 201-207.
    7. Levhari, David & Weiss, Yoram, 1974. "The Effect of Risk on the Investment in Human Capital," American Economic Review, American Economic Association, vol. 64(6), pages 950-963, December.
    8. Düll, Herbert & Bellmann, Lutz, 1999. "Der unterschiedliche Zugang zur betrieblichen Weiterbildung nach Qualifikation und Berufsstatus : eine Analyse auf der Basis des IAB-Betriebspanels 1997 für West- und Ostdeutschland (The different acc," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 32(1), pages 70-83.
    9. repec:taf:applec:45:y:2013:i:18:p:2587-2601 is not listed on IDEAS
    10. Cockx, Bart, 2003. "Vocational Training of Unemployed Workers in Belgium," IZA Discussion Papers 682, Institute of Labor Economics (IZA).
    11. Dolton, Peter J, 1993. "The Economics of Youth Training in Britain," Economic Journal, Royal Economic Society, vol. 103(420), pages 1261-1278, September.
    12. repec:ucn:wpaper:10197/1213 is not listed on IDEAS
    13. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, January.
    14. Osikominu, Aderonke, 2005. "Eine Analyse der Teilnehmerselektion in die berufliche Weiterbildung auf Basis der Integrierten Erwerbsbiografien (IEB)," IAB-Forschungsbericht 200523, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    15. Shane Frederick & George Loewenstein & Ted O'Donoghue, 2002. "Time Discounting and Time Preference: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 351-401, June.
    16. Zenon Wisniewski & Monika Maksim, 2013. "Active Labour Market Policies in Poland," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 14(01), pages 22-28, May.
    17. Shaw, Kathryn L, 1996. "An Empirical Analysis of Risk Aversion and Income Growth," Journal of Labor Economics, University of Chicago Press, vol. 14(4), pages 626-653, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Kruppe, Thomas & Mühlhan, Jannek & Weber, Enzo & Wiemers, Jürgen, 2019. "Gesamtfiskalische Wirkungen von Weiterbildungsförderung: Öffentliche Ausgaben generieren hohe Rückflüsse," IAB-Kurzbericht 201908, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Osiander, Christopher & Stephan, Gesine, 2018. "Unter welchen Bedingungen würden sich Beschäftigte weiterbilden? : Ergebnisse eines faktoriellen Surveys," IAB-Discussion Paper 201804, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Thomas Dohmen & Eva Kleifgen & Steffen Künn & Gesine Stephan, 2023. "Geförderte Umschulungen für Personen ohne Berufsabschluss im Rechtskreis SGB III: Kenntnis, Teilnahmebereitschaft und Attraktivitätskriterien," ECONtribute Policy Brief Series 043, University of Bonn and University of Cologne, Germany.
    4. Osiander, Christopher & Stephan, Gesine, 2020. "Was beeinflusst die Weiterbildungsbereitschaft von Beschäftigten? Befunde aus einer Vignettenstudie [What Drives Employees' Motivation to Participate in Further Training? Results from a Factorial ," Industrielle Beziehungen. Zeitschrift für Arbeit, Organisation und Management, Verlag Barbara Budrich, vol. 27(3), pages 336-359.

    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. Osiander, Christopher & Dietz, Martin, 2015. "What could all the money do? : Ergebnisse eines faktoriellen Surveys zur Bedeutung von Opportunitätskosten bei Weiterbildungsentscheidungen," IAB-Discussion Paper 201504, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Oswald, Yvonne & Backes-Gellner, Uschi, 2014. "Learning for a bonus: How financial incentives interact with preferences," Journal of Public Economics, Elsevier, vol. 118(C), pages 52-61.
    3. Caliendo, Marco & Cobb-Clark, Deborah A. & Obst, Cosima & Uhlendorff, Arne, 2023. "Risk preferences and training investments," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 668-686.
    4. Christian Belzil & Marco Leonardi, 2013. "Risk Aversion and Schooling Decisions," Annals of Economics and Statistics, GENES, issue 111-112, pages 35-70.
    5. Jansen, Anika & Pfeifer, Harald & Raecke, Julia, 2017. "Only the brave? Risk and time preferences of decision makers and firms’ investment in worker training," Research Memorandum 004, Maastricht University, Graduate School of Business and Economics (GSBE).
    6. George I. Christopoulos & Xiao-Xiao Liu & Ying-yi Hong, 2017. "Toward an Understanding of Dynamic Moral Decision Making: Model-Free and Model-Based Learning," Journal of Business Ethics, Springer, vol. 144(4), pages 699-715, September.
    7. Sarah Brown & Aurora Ortiz‐Nuñez & Karl Taylor, 2012. "Parental Risk Attitudes and Children's Academic Test Scores: Evidence from the US P anel S tudy of I ncome D ynamics," Scottish Journal of Political Economy, Scottish Economic Society, vol. 59(1), pages 47-70, February.
    8. Daniel Horn & Hubert Janos Kiss, 2018. "Which preferences associate with school performance?—Lessons from an exploratory study with university students," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-32, February.
    9. Yang, Guanyi & Casner, Ben, 2021. "How much does schooling disutility matter?," Research in Economics, Elsevier, vol. 75(1), pages 87-95.
    10. Checchi, Daniele & Fiorio, Carlo V. & Leonardi, Marco, 2014. "Parents' risk aversion and children's educational attainment," Labour Economics, Elsevier, vol. 30(C), pages 164-175.
    11. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020. "Robust Estimation of Wage Dispersion with Censored Data: An Application to Occupational Earnings Risk and Risk Attitudes," De Economist, Springer, vol. 168(4), pages 519-540, December.
    12. Lex Borghans & Angela Lee Duckworth & James J. Heckman & Bas ter Weel, 2008. "The Economics and Psychology of Personality Traits," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    13. Jie, Yun, 2018. "Prepayment effect: Prepayment with clawback increases task participation," Journal of Business Research, Elsevier, vol. 92(C), pages 210-218.
    14. Lloyd-Smith, Patrick & Adamowicz, Wiktor & Entem, Alicia & Fenichel, Eli P. & Rouhi Rad, Mani, 2021. "The decade after tomorrow: Estimation of discount rates from realistic temporal decisions over long time horizons," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 158-174.
    15. Huebener, Mathias, 2015. "The role of paternal risk attitudes in long-run education outcomes and intergenerational mobility," Economics of Education Review, Elsevier, vol. 47(C), pages 64-79.
    16. Richard G. Newell & Juha Siikamäki, 2014. "Nudging Energy Efficiency Behavior: The Role of Information Labels," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(4), pages 555-598.
    17. Cassar, Alessandra & Healy, Andrew & von Kessler, Carl, 2017. "Trust, Risk, and Time Preferences After a Natural Disaster: Experimental Evidence from Thailand," World Development, Elsevier, vol. 94(C), pages 90-105.
    18. Osiander, Christopher & Stephan, Gesine, 2018. "Unter welchen Bedingungen würden sich Beschäftigte weiterbilden? : Ergebnisse eines faktoriellen Surveys," IAB-Discussion Paper 201804, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    19. Elizabeth M. Caucutt & Lance Lochner & Youngmin Park, 2017. "Correlation, Consumption, Confusion, or Constraints: Why Do Poor Children Perform so Poorly?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 119(1), pages 102-147, January.
    20. repec:cup:judgdm:v:16:y:2021:i:3:p:709-728 is not listed on IDEAS
    21. Mitchell, O.S. & Piggott, J., 2016. "Workplace-Linked Pensions for an Aging Demographic," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 865-904, Elsevier.

    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:spr:jlabrs:v:49:y:2016:i:1:d:10.1007_s12651-016-0202-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.