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Modelling regional labour market dynamics in space and time

Author

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  • Solmaria Halleck Vega
  • J. Paul Elhorst

Abstract

type="main" xml:lang="es"> Este artículo amplía el modelo seminal de mercado laboral regional de Blanchard y Katz con la inclusión de efectos de interacción por medio de un enfoque de datos de panel espacial dinámico. Son tres las contribuciones clave de este modelo ampliado: (i) la suposición poco realista de que las regiones son independientes entre sí ya no es necesaria; (ii) la magnitud y la importancia de los llamados efectos de spillover se pueden evaluar empíricamente; y (iii) se puede investigar las propagaciones temporal y espacial de perturbaciones en la demanda de mano de obra. Por medio de datos anuales del período 1986–2010 para 112 regiones en ocho países de la UE, se han estimado tanto los modelos no espaciales como los espaciales. Se encontró que la mayoría de los efectos de spillover son altamente significativos. De acuerdo con la teoría económica, el impacto de una perturbación de la demanda específica para una región es más grande en la región en la que se origina la perturbación. La perturbación también se propaga a otras regiones, afectando especialmente a los vecinos de primer y segundo orden.

Suggested Citation

  • Solmaria Halleck Vega & J. Paul Elhorst, 2014. "Modelling regional labour market dynamics in space and time," Papers in Regional Science, Wiley Blackwell, vol. 93(4), pages 819-841, November.
  • Handle: RePEc:bla:presci:v:93:y:2014:i:4:p:819-841
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    File URL: http://hdl.handle.net/10.1111/pirs.12018
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    Cited by:

    1. Luo, Dongdong & Xing, Chunbing, 2016. "Population adjustments in response to local demand shifts in China," Journal of Housing Economics, Elsevier, vol. 33(C), pages 101-114.
    2. Haller, Peter & Heuermann, Daniel F., 2016. "Job search and hiring in local labor markets: Spillovers in regional matching functions," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 125-138.
    3. Halleck Vega, Solmaria & Elhorst, J. Paul, 2016. "A regional unemployment model simultaneously accounting for serial dynamics, spatial dependence and common factors," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 85-95.
    4. repec:taf:specan:v:12:y:2017:i:2-3:p:138-160 is not listed on IDEAS

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