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The spatial Polish wage curve with gender effects: Evidence from the Polish Labor Survey

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  • Baltagi, Badi H.
  • Rokicki, Bartlomiej

Abstract

This paper reconsiders the Polish wage curve using individual data from the Polish Labor Force Survey (LFS) at the 16 NUTS2 level allowing for spatial spillovers between regions. In addition it estimates the total and gender-specific regional unemployment rate elasticities on individual wages. The paper finds significant spatial unemployment spillovers across Polish regions. In addition, it finds that the results for the Polish wage curve are sensitive to gender-specific regional unemployment rates. This is especially true for women.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:regeco:v:49:y:2014:i:c:p:36-47
    DOI: 10.1016/j.regsciurbeco.2014.08.001
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    Cited by:

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    2. 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.
    3. Haci Mevlut Karatas, 2017. "The Turkish Spatial Wage Curve," Econometrics, MDPI, vol. 5(3), pages 1-21, August.
    4. Andrzej Cieślik & Bartłomiej Rokicki, 2016. "Individual wages and regional market potential," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 24(4), pages 661-682, October.
    5. Brada, Josef C. & Gajewski, Paweł & Kutan, Ali M., 2021. "Economic resiliency and recovery, lessons from the financial crisis for the COVID-19 pandemic: A regional perspective from Central and Eastern Europe," International Review of Financial Analysis, Elsevier, vol. 74(C).
    6. 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).
    7. Badi H. Baltagi & Bartlomiej Rokicki & Kênia Barreiro Souza, 2017. "The Brazilian wage curve: new evidence from the National Household Survey," Empirical Economics, Springer, vol. 53(1), pages 267-286, August.
    8. Guilherme Cemin Paula & André M. Marques, 2022. "Brazilian Wage Curve: Further Evidence Based on Spatial Interactions in Times of Recession, 2012–2019," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 65(3), pages 689-708, September.
    9. Juho Jokinen, 2020. "The wage curve and local monopsony power," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(1), pages 159-183, February.
    10. Rokicki, Bartlomiej & Blien, Uwe & Hewings, Geoffrey J.D. & thi Hong Van, Phan, 2021. "Is there a wage curve with regional real wages? An analysis for the US and Poland," Economic Modelling, Elsevier, vol. 102(C).
    11. 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.
    12. Rokicki, Bartlomiej & Blien, Uwe & Hewings, Geoffrey J. D. & Phan thi Hong, Van, 2020. "Is there a Wage Curve with Regional Real Wages?," IAB-Discussion Paper 202017, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    13. Gilberto Tadeu Lima & Andre M. Marques, 2022. "Demand and Distribution in a Dynamic Spatial Panel Model for the United States: Evidence from State-Level Data," Working Papers, Department of Economics 2022_21, University of São Paulo (FEA-USP), revised 05 Oct 2022.
    14. Balta-Ozkan, Nazmiye & Yildirim, Julide & Connor, Peter M., 2015. "Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach," Energy Economics, Elsevier, vol. 51(C), pages 417-429.

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    More about this item

    Keywords

    Wage curve; Fixed effects; Spatial spillovers; Regional labor markets;
    All these keywords.

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General

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