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The efficiency of matching in Portuguese public employment service

Author

Listed:
  • Massimiliano Agovino

    (Department of Economic Studies, University of Chieti-Pescara, Pescara, Italy)

  • Antonio Gomes de Menezes

    (Department of Economics and Business, University of the Azores, Portugal)

  • Dario Sciulli

    (Department of Economic Studies, University of Chieti-Pescara, Italy)

Abstract

This paper assesses the matching efficiency of the Portuguese public employment service, applying Data Envelopment Analysis combined with principal component analysis to Portuguese administrative data and comparing the situations in June 1998 and June 2001. We find evidence that the Portuguese public employment service increased its efficiency potential from 0.54 (June 1998) to 0.65 (June 2001), becoming more efficient and more homogeneous. However, employment-centres differ in efficiency and factors affecting efficiency diverge among employment-centres. Policies aimed at improving the efficiency of the matching process should be employment-centre specific. Indeed, we find that some employment-centres could benefit from investing in labour market policies, some from investing in social policies, and others from investing in income support policies. Finally, some employment-centres could benefit from a mix of these socio-economic policies.

Suggested Citation

  • Massimiliano Agovino & Antonio Gomes de Menezes & Dario Sciulli, 2013. "The efficiency of matching in Portuguese public employment service," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 121(1), pages 87-110.
  • Handle: RePEc:vep:journl:y:2013:v:121:i:1:p:87-110
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    Citations

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    Cited by:

    1. Dario Sciulli & António Gomes de Menezes, 2018. "The performance of Portuguese job-centers," EKONOMIAZ. Revista vasca de Economía, Gobierno Vasco / Eusko Jaurlaritza / Basque Government, vol. 93(01), pages 108-133.
    2. Ewa Cichowicz & Ewa Rollnik-Sadowska & Monika Dędys & Maria Ekes, 2021. "The DEA Method and Its Application Possibilities for Measuring Efficiency in the Public Sector—The Case of Local Public Employment Services," Economies, MDPI, vol. 9(2), pages 1-13, May.

    More about this item

    Keywords

    public employment service; matching; efficiency; Data Envelopment Analysis;
    All these keywords.

    JEL classification:

    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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