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Asymmetric Effects of National-based Active Labour Market Policies

Author

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  • Carlo Altavilla

    () (University of Naples Parthenope, CESifo and CSEF)

  • Floro Ernesto Caroleo

    () (University of Naples Parthenope)

Abstract

Labour market policies settled at national level imply a “one-size-fits-all” labour market strategy. This strategy might not sufficiently take into account region-specific economic structures. We employ a panel factor-augmented vector autoregression (FAVAR) to evaluate whether active labour market programmes (ALMPs) might asymmetrically affect labour markets at regional level in a data-rich environment. The paper focuses on Italian regions. Our results suggest that while in the South employment is mainly driven by social and economic context variables, in the North the employment dynamics is significantly explained by policy interventions. Finally, we suggest two main policy implications. First, the success of active policies depends on the regional labour market conditions. Second, policymakers should adjust labour policy strategy to the regional economic structure

Suggested Citation

  • Carlo Altavilla & Floro Ernesto Caroleo, 2011. "Asymmetric Effects of National-based Active Labour Market Policies," CSEF Working Papers 293, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
  • Handle: RePEc:sef:csefwp:293
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    Cited by:

    1. M. Agovino & A. Rapposelli, 2017. "Speculation on a Flexicurity Index for Disabled People: The Italian Case," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(1), pages 389-414, January.
    2. Elzbieta Antczak & Ewa Galecka-Burdziak & Robert Pater, 2016. "Efficiency in spatially disaggregated labour market matching," Working Papers 2016-010, Warsaw School of Economics, Collegium of Economic Analysis.
    3. Wapler, Rüdiger & Werner, Daniel & Wolf, Katja, 2014. "Active labour-market policies in Germany : do regional labour markets benefit?," IAB Discussion Paper 201428, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    More about this item

    Keywords

    Active Labour Market Policies; FAVAR.;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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