IDEAS home Printed from https://ideas.repec.org/p/rif/wpaper/56.html
   My bibliography  Save this paper

The Effects of an Education-Leave Program on Educational Attainment and Labor-Market Outcomes

Author

Listed:
  • Kauhanen, Antti

Abstract

I study the effect of an education leave subsidy for the employed on labor-market outcomes and educational attainment using Finnish administrative linked employer-employee panel data and matching methods. The adult education allowance is available to employees with at least eight years of work experience and allows them to take a leave for 2–18 months to participate in an education program while being compensated for a substantial part of their forgone earnings. I find large positive treatment effects on educational attainment and changing occupation. The treatment effects on earnings and employment are negative during the lock-in period and close to zero afterward. Treatment effects on pseudo-outcomes are small and with one exception not statistically significant, which supports the credibility of the identification strategy. Sensitivity analyses show that unobserved variables should have a fairly large effect on treatment assignment to change the results.

Suggested Citation

  • Kauhanen, Antti, 2018. "The Effects of an Education-Leave Program on Educational Attainment and Labor-Market Outcomes," ETLA Working Papers 56, The Research Institute of the Finnish Economy.
  • Handle: RePEc:rif:wpaper:56
    as

    Download full text from publisher

    File URL: https://www.etla.fi/wp-content/uploads/ETLA-Working-Papers-56.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Charles F. Manski, 2001. "Designing Programs for Heterogeneous Populations: The Value of Covariate Information," American Economic Review, American Economic Association, vol. 91(2), pages 103-106, May.
    2. 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.
    3. David Card & Jochen Kluve & Andrea Weber, 2010. "Active Labour Market Policy Evaluations: A Meta-Analysis," Economic Journal, Royal Economic Society, vol. 120(548), pages 452-477, November.
    4. 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.
    5. Christine Dauth & Ott Toomet, 2016. "On Government-Subsidized Training Programs for Older Workers," LABOUR, CEIS, vol. 30(4), pages 371-392, December.
    6. Schwerdt, Guido & Messer, Dolores & Woessmann, Ludger & Wolter, Stefan C., 2012. "The impact of an adult education voucher program: Evidence from a randomized field experiment," Journal of Public Economics, Elsevier, vol. 96(7-8), pages 569-583.
    7. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
    8. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    9. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    10. Guido W. Imbens, 2015. "Matching Methods in Practice: Three Examples," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 373-419.
    11. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    12. Görlitz, Katja & Tamm, Marcus, 2016. "The returns to voucher-financed training on wages, employment and job tasks," Economics of Education Review, Elsevier, vol. 52(C), pages 51-62.
    13. Stenberg, Anders, 2011. "Using longitudinal data to evaluate publicly provided formal education for low skilled," Economics of Education Review, Elsevier, vol. 30(6), pages 1262-1280.
    14. 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.
    15. Andrea Bassanini, 2004. "Improving skills for more and better jobs?," Post-Print halshs-00169612, HAL.
    16. Blanden, Jo & Buscha, Franz & Sturgis, Patrick & Urwin, Peter, 2012. "Measuring the earnings returns to lifelong learning in the UK," Economics of Education Review, Elsevier, vol. 31(4), pages 501-514.
    17. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, July.
    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. Dauth, Christine, 2017. "Regional discontinuities and the effectiveness of further training subsidies for low-skilled employees," IAB-Discussion Paper 201707, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Ruhose, Jens & Thomsen, Stephan L. & Weilage, Insa, 2019. "The benefits of adult learning: Work-related training, social capital, and earnings," Economics of Education Review, Elsevier, vol. 72(C), pages 166-186.
    3. Kauhanen, Antti & Virtanen, Hanna, 2021. "Heterogeneity in Labor Market Returns to Adult Education," ETLA Working Papers 91, The Research Institute of the Finnish Economy.
    4. Guo, Yuchen Mo & Falck, Oliver & Langer, Christina & Lindlacher, Valentin & Wiederhold, Simon, 2024. "Training, Automation, and Wages: Worker-Level Evidence," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302366, Verein für Socialpolitik / German Economic Association.
    5. Jens Ruhose & Stephan L. Thomsen & Insa Weilage, 2018. "The Wider Benefits of Adult Learning: Work-Related Training and Social Capital," CESifo Working Paper Series 7268, CESifo.
    6. 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.
    7. Dauth, Christine, 2016. "Do low-skilled employed workers benefit from further training subsidies?," VfS Annual Conference 2016 (Augsburg): Demographic Change 145533, Verein für Socialpolitik / German Economic Association.
    8. Oliver Falck & Yuchen Guo & Christina Langer & Valentin Lindlacher & Simon Wiederhold, 2024. "Training, Automation, and Wages: International Worker-Level Evidence," CESifo Working Paper Series 11533, CESifo.
    9. Jens Ruhose & Stephan L. Thomsen & Insa Weilage, 2018. "The Wider Benefits of Adult Learning: Work-Related Training and Social Capital," SOEPpapers on Multidisciplinary Panel Data Research 1004, DIW Berlin, The German Socio-Economic Panel (SOEP).
    10. 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.
    11. Anders Stenberg & Xavier Luna & Olle Westerlund, 2014. "Does Formal Education for Older Workers Increase Earnings? — Evidence Based on Rich Data and Long-term Follow-up," LABOUR, CEIS, vol. 28(2), pages 163-189, June.
    12. Stefano Lombardi & Gerard J. van den Berg & Johan Vikström, 2024. "Empirical Monte Carlo evidence on estimation of timing-of-events models," Econometric Reviews, Taylor & Francis Journals, vol. 44(1), pages 90-118, September.
    13. 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.
    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. Balmaceda, Felipe, 2021. "A failure of the market for college education and on-the-job human capital," Economics of Education Review, Elsevier, vol. 84(C).
    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. Goller, Daniel & Harrer, Tamara & Lechner, Michael & Wolff, Joachim, 2021. "Active labour market policies for the long-term unemployed: New evidence from causal machine learning," Economics Working Paper Series 2108, University of St. Gallen, School of Economics and Political Science.
    18. Muller, Paul & van der Klaauw, Bas & Heyma, Arjan, 2017. "Comparing Econometric Methods to Empirically Evaluate Job-Search Assistance," IZA Discussion Papers 10531, Institute of Labor Economics (IZA).
    19. Bergemann, Annette & van den Berg, Gerard J., 2008. "From Giving Birth to Paid Labor: The Effects of Adult Education for Prime-Aged Mothers," IZA Discussion Papers 3600, Institute of Labor Economics (IZA).
    20. 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.

    More about this item

    Keywords

    Adult education; Education leave; Linked employer-employee data; Program evaluation;
    All these keywords.

    JEL classification:

    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training

    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:rif:wpaper:56. 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: Kaija Hyvönen-Rajecki (email available below). General contact details of provider: https://edirc.repec.org/data/etlaafi.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.