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Asymmetric Effects of National-based Active Labour Market Policies

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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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    2. Mathieu Bunel & Elisabeth Tovar, 2015. "Spatial mismatch through local public employment agencies: Answers from a French quasi-experiment," TEPP Working Paper 2015-06, TEPP.
    3. Goulas, Eleftherios & Zervoyianni, Athina, 2018. "Active labour-market policies and output growth: Is there a causal relationship?," Economic Modelling, Elsevier, vol. 73(C), pages 1-14.
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    5. Elzbieta Antczak & Ewa Galecka-Burdziak & Robert Pater, 2016. "Efficiency in spatially disaggregated labour market matching," KAE Working Papers 2016-010, Warsaw School of Economics, Collegium of Economic Analysis.
    6. Massimiliano Agovino & Antonio Garofalo & Katia Marchesano, 2018. "Do institutions affect the matching process of disabled people? The Italian case," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 921-943, March.
    7. Mathieu Bunel & Elisabeth Tovar, 2015. "Spatial mismatch through local public employment agencies Answers from a French quasi-experiment Spatial Mismatch through Local Public Employment Agencies? Answers from a French Quasi-Experiment," Working Papers hal-01292103, HAL.
    8. Wapler, Rüdiger & Wolf, Katja & Wolff, Joachim, 2022. "Do active labor market policies for welfare recipients in Germany raise their regional outflow into work?," Journal of Policy Modeling, Elsevier, vol. 44(3), pages 550-563.
    9. Wolfgang Dauth & Reinhard Hujer & Katja Wolf, 2016. "Do Regions Benefit from Active Labour Market Policies? A Macroeconometric Evaluation Using Spatial Panel Methods," Regional Studies, Taylor & Francis Journals, vol. 50(4), pages 692-708, April.
    10. Elżbieta Antczak & Ewa Gałecka‐Burdziak & Robert Pater, 2019. "What Affects Efficiency In Labour Market Matching At Different Territorial Aggregation Levels In Poland?," Bulletin of Economic Research, Wiley Blackwell, vol. 71(2), pages 160-179, April.
    11. Rüdiger Wapler & Daniel Werner & Katja Wolf, 2018. "Active labour market policies in Germany: do regional labour markets benefit?," Applied Economics, Taylor & Francis Journals, vol. 50(51), pages 5561-5578, November.
    12. Massimiliano Agovino & Agnese Rapposelli, 2017. "Macroeconomic impact of flexicurity on the integration of people with disabilities into the labour market. A two-regime spatial autoregressive analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 307-334, January.
    13. Ana Millán & José María Millán & Concepción Román, 2016. "The Role of Start-up Incentives on Entrepreneurship Dynamics in a Post-Crisis Era: Evidence from European Countries," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 14(03), pages 29-35, October.

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    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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