IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp4649.html
   My bibliography  Save this paper

The Effectiveness of Regional Active Labour Market Policies to Fight against Unemployment: An Analysis for Catalonia

Author

Listed:
  • Ramos, Raul

    (University of Barcelona)

  • Surinach, Jordi

    (University of Barcelona)

  • Artís, Manuel

    (University of Barcelona)

Abstract

The aim of this work is to assess the effectiveness of active labour market policies carried out by the Catalan Public Employment Services (SOC) during the year 2005. The results obtained from the application of matching techniques show that the probability of finding a job for an individual who participated in any of the analyzed SOC's actions is 5 percentage points higher in relation to those who did not participate. The individual analysis of the different programs has shown the effectiveness of the greater part of the actions carried out. Last, the results have also highlighted the further improvement of the combination of some of the actions.

Suggested Citation

  • Ramos, Raul & Surinach, Jordi & Artís, Manuel, 2009. "The Effectiveness of Regional Active Labour Market Policies to Fight against Unemployment: An Analysis for Catalonia," IZA Discussion Papers 4649, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp4649
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp4649.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michael Lechner & Stephan Wiehler, 2007. "Does the Order and Timing of Active Labor Market Programs Matter?," University of St. Gallen Department of Economics working paper series 2007 2007-38, Department of Economics, University of St. Gallen.
    2. 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.
    3. Edwin Leuven & Barbara Sianesi, 2003. "PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing," Statistical Software Components S432001, Boston College Department of Economics, revised 01 Feb 2018.
    4. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    5. Barbara Sianesi, 2001. "Propensity score matching," United Kingdom Stata Users' Group Meetings 2001 12, Stata Users Group, revised 23 Aug 2001.
    6. Begoña Cueto & F. Mato, 2009. "A nonexperimental evaluation of training programmes: regional evidence for Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(2), pages 415-433, June.
    7. F. Alfonso Arellano, 2010. "Do Training Programmes Get The Unemployed Back To Work? A Look At The Spanish Experience," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 18(2), pages 39-65, Autumn.
    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. Todo, Yasuyuki, 2011. "Impacts of Aid-Funded Technical Assistance Programs: Firm-Level Evidence from the Indonesian Foundry Industry," World Development, Elsevier, vol. 39(3), pages 351-362, March.
    2. Pedro S. Martins, 2009. "Dismissals for Cause: The Difference That Just Eight Paragraphs Can Make," Journal of Labor Economics, University of Chicago Press, vol. 27(2), pages 257-279, April.
    3. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    4. 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.
    5. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    6. Daniel O. Gilligan & John Hoddinott, 2007. "Is There Persistence in the Impact of Emergency Food Aid? Evidence on Consumption, Food Security, and Assets in Rural Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 225-242.
    7. Sandra Cavaco & Denis Fougère & Julien Pouget, 2013. "Estimating the effect of a retraining program on the re-employment rate of displaced workers," Empirical Economics, Springer, vol. 44(1), pages 261-287, February.
    8. Eliana V. Jimenez & Richard P.C. Brown, 2008. "Assessing the poverty impacts of remittances with alternative counterfactual income estimates," Discussion Papers Series 375, School of Economics, University of Queensland, Australia.
    9. Sarah Bernhard & Thomas Kruppe, 2012. "Effectiveness of Further Vocational Training in Germany – Empirical Findings for Persons Receiving Means-tested Unemployment Benefits," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 132(4), pages 501-526.
    10. Arnstein Aassve & Gianni Betti & Stefano Mazzuco & Letizia Mencarini, 2007. "Marital disruption and economic well‐being: a comparative analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 781-799, July.
    11. 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.
    12. Dolton, Peter & Smith, Jeffrey A., 2011. "The Impact of the UK New Deal for Lone Parents on Benefit Receipt," IZA Discussion Papers 5491, Institute of Labor Economics (IZA).
    13. Claire Bonnard, 2011. "Les incitations à l'innovation dans le secteur privé," Post-Print halshs-00599700, HAL.
    14. Blázquez, Maite & Herrarte, Ainhoa & Sáez, Felipe, 2019. "Training and job search assistance programmes in Spain: The case of long-term unemployed," Journal of Policy Modeling, Elsevier, vol. 41(2), pages 316-335.
    15. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    16. Marisa Coetzee, 2013. "Finding the Benefits: Estimating the Impact of The South African Child Support Grant," South African Journal of Economics, Economic Society of South Africa, vol. 81(3), pages 427-450, September.
    17. Mano, Yukichi & Akoten, John & Yoshino, Yutaka & Sonobe, Tetsushi, 2014. "Teaching KAIZEN to small business owners: An experiment in a metalworking cluster in Nairobi," Journal of the Japanese and International Economies, Elsevier, vol. 33(C), pages 25-42.
    18. 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.
    19. Alejandro Cid & Daniel Ferres & Máximo Rossi, 2008. "Subjective Well-Being in the Southern Cone: Health, Income and Family," Documentos de Trabajo (working papers) 1308, Department of Economics - dECON.
    20. Kelly, Elish & McGuinness, Seamus & O'Connell, Philip J., 2011. "What Can Active Labour Market Policies Do?," Papers EC1, Economic and Social Research Institute (ESRI).

    More about this item

    Keywords

    active labour market policies; unemployment; propensity score matching;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • 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

    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:iza:izadps:dp4649. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.