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A spatial panel wage curve for Spain

Author

Listed:
  • Raul Ramos
  • Catia Nicodemo
  • Esteve Sanromá

Abstract

Most empirical studies on the Spanish wage curve have ignored the possible spatial interaction effects between the regions. This paper reconsiders the Spanish wage curve using more recent data than previous studies and taking into account the role of regional spillovers. From a methodological perspective, we apply the two-step procedure proposed by Bell et al. ( 2002 ) to estimate a dynamic wage curve with spatial spillovers. In a first stage, we use microdata from the Spanish Social Security Records (Muestra Continua de Vidas Laborales) to obtain composition-corrected wages that are used in a second stage to estimate a wage curve over the period 2000–2010 allowing for spatial effects of unemployment across regions. Opposite to previous studies, we find that the wage equation is highly autoregressive and that regional spillovers are relevant to explain the relationship between unemployment and wages in the Spanish provinces. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Raul Ramos & Catia Nicodemo & Esteve Sanromá, 2015. "A spatial panel wage curve for Spain," Letters in Spatial and Resource Sciences, Springer, vol. 8(2), pages 125-139, July.
    • Handle: RePEc:spr:lsprsc:v:8:y:2015:i:2:p:125-139
    DOI: 10.1007/s12076-014-0118-y
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    References listed on IDEAS

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    Cited by:

    1. Ana Maria Bonomi Barufi & Eduardo A. Haddad, Peter Nijkamp, 2016. "New evidence on the wage curve: non-linearities, urban size, and spatial scale in Brazil," Working Papers, Department of Economics 2016_39, University of São Paulo (FEA-USP).
    2. Kosfeld, Reinhold & Dreger, Christian, 2019. "Towards an East German wage curve - NUTS boundaries, labour market regions and unemployment spillovers," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 115-124.
    3. Baltagi, Badi H. & Rokicki, Bartlomiej, 2014. "The spatial Polish wage curve with gender effects: Evidence from the Polish Labor Survey," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 36-47.
    4. Demidova, O. & Timofeeva, E., 2021. "Spatial aspects of wage curve estimation in Russia," Journal of the New Economic Association, New Economic Association, vol. 51(3), pages 69-101.
    5. Badi H. Baltagi & Yusuf Soner Başkaya, 2022. "Spatial wage curves for formal and informal workers in Turkey," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-24, December.
    6. Reinhold Kosfeld & Christian Dreger, 2018. "Local and spatial cointegration in the wage curve – a spatial panel analysis for german regions," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 38(1), pages 53-75, February.
    7. Haci Mevlut Karatas, 2017. "The Turkish Spatial Wage Curve," Econometrics, MDPI, vol. 5(3), pages 1-21, August.
    8. Ana Barufi & Eduardo Haddad & Peter Nijkamp, 2016. "A comprehensive analysis of the wage curve in Brazil: Non-linearities, urban size, and the spatial dimension," ERSA conference papers ersa16p279, European Regional Science Association.

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    More about this item

    Keywords

    Spatial panel; Wage curve; Unemployment; Spanish regional labour markets; J31; J64; R23;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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