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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, IZA Network @ LISER.
    • Handle: RePEc:iza:izadps:dp4649
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Barbara Sianesi, 2001. "Propensity score matching," United Kingdom Stata Users' Group Meetings 2001 12, Stata Users Group, revised 23 Aug 2001.
    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.
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    Cited by:

    1. José María Arranz & Carlos García-Serrano, 2024. "You’ll never seek alone: The impact of active labour market policies on finding a job," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 58(1), pages 1-19, December.

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    Keywords

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    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

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