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La función de emparejamiento en el mercado de trabajo español

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Author Info

  • Pablo Álvarez de Toledo

    (Universidad de Sevilla)

  • Fernando Núñez

    (Universidad de Sevilla)

  • Carlos Usabiaga

    (Universidad Pablo de Olavide)

Abstract

En este trabajo analizamos el proceso de emparejamiento existente en el Servicio Público de Empleo Estatal (INEM). Dicho organismo constituye un claro ejemplo de mercado donde las colocaciones en cada período emparejan a los flujos de nuevos demandantes de empleo y puestos vacantes con los correspondientes stocks al comienzo del mes. Esta dinámica de emparejamiento se conoce con el nombre de modelo stock-flow. Para contrastar el emparejamiento stock-flow frente al emparejamiento aleatorio se estiman, tratando el problema de la agregación temporal, diversas especificaciones de la función de emparejamiento durante el período 1978:01-2005:04. Previamente, ha sido necesario realizar ciertas intervenciones en las series utilizadas. Los resultados obtenidos, robustos temporal y geográficamente, están muy próximos al caso de emparejamiento stock-flow con trabajadores “en cola”. Dichos resultados invitan a potenciar las políticas activas del mercado de trabajo.

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Bibliographic Info

Article provided by Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica in its journal Revista de Economía Aplicada.

Volume (Year): 16 (2008)
Issue (Month): 3 (Winter)
Pages: 5-35

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Handle: RePEc:rev:reveca:v:16:y:2008:i:3:p:5-35

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Postal: Revista de Economía Aplicada Departamento de Estructura Económica y Economía Pública Facultad de Ciencias Económicas Gran Vía, 2 50005 Zaragoza Spain
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Related research

Keywords: mercado de trabajo español; Servicio Público de Empleo Estatal (INEM); función de emparejamiento.;

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Cited by:
  1. Carlos Usabiaga & Fernando Núñez & Pablo Álvarez de Toledo, 2013. "Segmentación del mercado de trabajo, clusters, movilidad y duración de desempleo con datos individuales," Economic Working Papers at Centro de Estudios Andaluces E2013/02, Centro de Estudios Andaluces.
  2. Álvarez de Toledo, Pablo & Núñez, Fernando & Usabiaga, Carlos, 2013. "Labour Market Segmentation, Clusters, Mobility and Unemployment Duration with Individual Microdata," MPRA Paper 46003, University Library of Munich, Germany.

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