IDEAS home Printed from https://ideas.repec.org/a/kap/iaecre/v17y2011i1p89-10010.1007-s11294-010-9291-y.html
   My bibliography  Save this article

The Impact of Vocational Training on the Unemployment Duration

Author

Listed:
  • Joanna Landmesser

Abstract

In this study, we estimate a semiparametric hazard model to assess the impact of vocational training on the duration of unemployment spells. Our research work is based on the data obtained from the District Labor Office in Słupsk, Poland from 1999 to 2007. We employ matching methods to take into account the potential sample selection problem, i.e., finding an adequate control group for the group of trainees. Therefore, we estimate a random-effects probit model for the likelihood of participation in a training program. The main question of this paper is whether the training significantly raises the transition rate from unemployment to employment in the short and the long run. Copyright International Atlantic Economic Society 2011

Suggested Citation

  • Joanna Landmesser, 2011. "The Impact of Vocational Training on the Unemployment Duration," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 17(1), pages 89-100, February.
    • Handle: RePEc:kap:iaecre:v:17:y:2011:i:1:p:89-100:10.1007/s11294-010-9291-y
    DOI: 10.1007/s11294-010-9291-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11294-010-9291-y
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11294-010-9291-y?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 search for a different version of it.

    References listed on IDEAS

    as
    1. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    3. Devine, Theresa J. & Kiefer, Nicolas M., 1991. "Empirical Labor Economics: The Search Approach," OUP Catalogue, Oxford University Press, number 9780195059366.
    4. Kiefer, Nicholas M, 1988. "Economic Duration Data and Hazard Functions," Journal of Economic Literature, American Economic Association, vol. 26(2), pages 646-679, June.
    5. Puhani, Patrick A, 1999. "Public Training and Outflows from Unemployment: An Augmented Matching Function Approach on Polish Regional Data," CEPR Discussion Papers 2244, C.E.P.R. Discussion Papers.
    6. Maciej Bukowski & Piotr Lewandowski & Iga Magda & Malgorzata Sarzalska & Julian Zawistowski, 2005. "Employment in Poland 2005," Labor and Demography 0512003, University Library of Munich, Germany, revised 19 Dec 2005.
    7. Patrick A. Puhani, 1999. "Public Training and Outflows from Unemployment," William Davidson Institute Working Papers Series 258, William Davidson Institute at the University of Michigan.
    8. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    9. Puhani, Patrick A, 1998. "Advantage Through Training? A Microeconometric Evaluation of the Employment Effects of Active Labour Market Programmes in Poland," CEPR Discussion Papers 2000, C.E.P.R. Discussion Papers.
    10. Kluve, Jochen & Lehmann, Hartmut & Schmidt, Christoph M., 1999. "Active Labor Market Policies in Poland: Human Capital Enhancement, Stigmatization, or Benefit Churning?," Journal of Comparative Economics, Elsevier, vol. 27(1), pages 61-89, March.
    11. repec:lic:licosd:8099 is not listed on IDEAS
    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. Feridoon Koohi-Kamali & Aida Farmand & Jose Pedro Bastos Neves, 2021. "The Duration of U.S. Joblessness and the Great Recession," SCEPA working paper series. 2021-03, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    2. Beata Bieszk-Stolorz & Krzysztof Dmytrów, 2021. "Impact of Changes to Procedures on the Evaluation of the Effectiveness of Forms of Professional Activation in Poland," Economies, MDPI, vol. 9(2), pages 1-18, June.

    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. repec:kap:iaecre:v:17:y:2011:i:1:p:89-100 is not listed on IDEAS
    2. Bukowski, Maciej & Lewandowski, Piotr & Koloch, Grzegorz & Baranowska, Anna & Magda, Iga & Szydlowski, Arkadiusz & Bober, Magda & Bieliński, Jacek & Zawistowski, Julian & Sarzalska, Malgorzata, 2008. "Employment in Poland 2007: Security on flexible labour market," MPRA Paper 14284, University Library of Munich, Germany.
    3. Kluve, Jochen & Lehmann, Hartmut & Schmidt, Christoph M., 2008. "Disentangling Treatment Effects of Active Labor Market Policies: The Role of Labor Force Status Sequences," Labour Economics, Elsevier, vol. 15(6), pages 1270-1295, December.
    4. Jochen Kluve & Hartmut Lehmann & Christoph M. Schmidt, 2000. "Disentangling Treatment Effects of Polish Active Labour Market Policies: Evidence from Matched Samples," CERT Discussion Papers 0007, Centre for Economic Reform and Transformation, Heriot Watt University.
    5. Augurzky, Boris & Kluve, Jochen, 2004. "Assessing the performance of matching algorithms when selection into treatment is strong," RWI Discussion Papers 21, RWI - Leibniz-Institut für Wirtschaftsforschung.
    6. David McKenzie & Steven Stillman & John Gibson, 2010. "How Important is Selection? Experimental VS. Non‐Experimental Measures of the Income Gains from Migration," Journal of the European Economic Association, European Economic Association, vol. 8(4), pages 913-945, June.
    7. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    8. Nicolas R. Ziebarth & Martin Karlsson, 2014. "The Effects Of Expanding The Generosity Of The Statutory Sickness Insurance System," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 208-230, March.
    9. McKenzie, David & Gibson, John & Stillman, Steven, 2006. "How important is selection ? Experimental versus non-experimental measures of the income gains from migration," Policy Research Working Paper Series 3906, The World Bank.
    10. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    11. Jochen Kluve & Boris Augurzky, 2007. "Assessing the performance of matching algorithms when selection into treatment is strong," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 533-557.
    12. David McKenzie & John Gibson & Steven Stillman, 2006. "How Important is Selection? Experimental vs Non-experimental Measures of the Income Gains of Migration," Working Papers 06_02, Motu Economic and Public Policy Research.
    13. Jochen Kluve & Boris Augurzky, 2005. "Assessing the performance of matching algorithms when selection into treatment is strong," RWI Discussion Papers 0021, Rheinisch-Westfälisches Institut für Wirtschaftsforschung.
    14. Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, Institute of Labor Economics (IZA).
    15. Hujer, Reinhard & Caliendo, Marco, 2000. "Evaluation of Active Labour Market Policy: Methodological Concepts and Empirical Estimates," IZA Discussion Papers 236, Institute of Labor Economics (IZA).
    16. Christian K.M. Kingombe, 2012. "The Linkage between Outcome Differences in Cotton Production and Rural Roads Improvements - A Matching Approach," IHEID Working Papers 12-2012, Economics Section, The Graduate Institute of International Studies.
    17. Núria Rodríguez-Planas & Benus Jacob, 2010. "Evaluating active labor market programs in Romania," Empirical Economics, Springer, vol. 38(1), pages 65-84, February.
    18. repec:zbw:rwidps:0021 is not listed on IDEAS
    19. Elizabeth Ty Wilde & Robinson Hollister, 2007. "How close is close enough? Evaluating propensity score matching using data from a class size reduction experiment," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 26(3), pages 455-477.
    20. Bryson, Alex & Dorsett, Richard & Purdon, Susan, 2002. "The use of propensity score matching in the evaluation of active labour market policies," LSE Research Online Documents on Economics 4993, London School of Economics and Political Science, LSE Library.
    21. Cockx, Bart & Van der Linden, Bruno & Karaa, Adel, 1998. "Active Labour Market Policies and Job Tenure," Oxford Economic Papers, Oxford University Press, vol. 50(4), pages 685-708, October.
    22. Maoyong Fan & Yanhong Jin, 2015. "The Effects of Weight Perception on Adolescents’ Weight-Loss Intentions and Behaviors: Evidence from the Youth Risk Behavior Surveillance Survey," IJERPH, MDPI, vol. 12(11), pages 1-29, November.

    More about this item

    Keywords

    Program’s evaluation; Matching; Hazard models; C10; J21;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

    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:kap:iaecre:v:17:y:2011:i:1:p:89-100:10.1007/s11294-010-9291-y. 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.