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Modelling regional labour market dynamics in space and time

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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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    1. Parent, Olivier & LeSage, James P., 2010. "A spatial dynamic panel model with random effects applied to commuting times," Transportation Research Part B: Methodological, Elsevier, vol. 44(5), pages 633-645, June.
    2. Tani, Massimiliano, 2003. "Have Europeans become more mobile? A note on regional evolutions in the EU: 1988-1997," Economics Letters, Elsevier, vol. 80(1), pages 23-30, July.
    3. J. Paul Elhorst, 2003. "The Mystery of Regional Unemployment Differentials: Theoretical and Empirical Explanations," Journal of Economic Surveys, Wiley Blackwell, vol. 17(5), pages 709-748, December.
    4. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.
    5. Decressin, Jorg & Fatas, Antonio, 1995. "Regional labor market dynamics in Europe," European Economic Review, Elsevier, vol. 39(9), pages 1627-1655, December.
    6. Lourens Broersma & Jouke van Dijk, 2002. "Regional labour market dynamics in the Netherlands," Papers in Regional Science, Springer;Regional Science Association International, vol. 81(3), pages 343-364.
    7. Stanislav Stakhovych & Tammo H.A. Bijmolt, 2009. "Specification of spatial models: A simulation study on weights matrices," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 389-408, June.
    8. Nicolas DEBARSY (CERPE De Namur) & Cem ERTUR & James P. LeSAGE, 2010. "Interpreting Dynamic Space-Time Panel Data Models," LEO Working Papers / DR LEO 800, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    9. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    10. Henk Folmer & Johan Oud, 2008. "How to Get Rid of W: A Latent Variables Approach to Modelling Spatially Lagged Variables," Environment and Planning A, , vol. 40(10), pages 2526-2538, October.
    11. James Lesage & Manfred Fischer, 2008. "Spatial Growth Regressions: Model Specification, Estimation and Interpretation," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(3), pages 275-304.
    12. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    13. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, May.
    14. Bernard Fingleton & Julie Le Gallo, 2008. "Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances: Finite sample properties," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 319-339, August.
    15. Olivier Jean Blanchard & Lawrence F. Katz, 1992. "Regional Evolutions," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 23(1), pages 1-76.
    16. Ryan R. Brady, 2011. "Measuring the diffusion of housing prices across space and over time," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(2), pages 213-231, March.
    17. Diego Puga, 2002. "European regional policies in light of recent location theories," Journal of Economic Geography, Oxford University Press, vol. 2(4), pages 373-406, October.
    18. Julie Le Gallo & Bernard Fingleton, 2008. "Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances : finite sample properties," Post-Print hal-00485035, HAL.
    19. van Bergeijk,Peter A. G. & Brakman,Steven (ed.), 2010. "The Gravity Model in International Trade," Cambridge Books, Cambridge University Press, number 9780521196154.
    20. Olivier Parent & James Lesage, 2005. "Bayesian Model Averaging for Spatial Econometric Models," Post-Print hal-00375489, HAL.
    21. Fredriksson, Peter, 1999. "The Dynamics of Regional Labor Markets and Active Labor Market Policy: Swedish Evidence," Oxford Economic Papers, Oxford University Press, vol. 51(4), pages 623-648, October.
    22. Olivier Blanchard, 2006. "European unemployment: the evolution of facts and ideas [‘The macroeconomics of low inflation’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 21(45), pages 6-59.
    23. Badi H. Baltagi & James M. Griffin & Weiwen Xiong, 2000. "To Pool Or Not To Pool: Homogeneous Versus Hetergeneous Estimations Applied to Cigarette Demand," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 117-126, February.
    24. Schürmann, Carsten & Talaat, Ahmed, 2002. "The European peripherality index," ERSA conference papers ersa02p224, European Regional Science Association.
    25. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
    26. Korniotis, George M., 2010. "Estimating Panel Models With Internal and External Habit Formation," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 145-158.
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    Cited by:

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    2. 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.
    3. Herrera Gomez Marcos & Fernández Pablo, 2023. "Regresiones SUR Espaciales. Análisis espacio-temporal del empleo sectorial en Argentina," Asociación Argentina de Economía Política: Working Papers 4660, Asociación Argentina de Economía Política.
    4. Iris Wanzenböck & Philipp Piribauer, 2018. "R&D networks and regional knowledge production in Europe: Evidence from a space‐time model," Papers in Regional Science, Wiley Blackwell, vol. 97(S1), pages 1-24, March.
    5. Ángel L. Martín‐Román & Jaime Cuéllar‐Martín & Alfonso Moral, 2020. "Labor supply and the business cycle: The “bandwagon worker effect”," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1607-1642, December.
    6. Emmanuel Duguet & Yannick L'horty & Florent Sari, 2023. "Agglomeration effects and unemployment to work: Evidence from French data," Papers in Regional Science, Wiley Blackwell, vol. 102(1), pages 129-166, February.
    7. Elhorst, J. Paul & Emili, Silvia, 2022. "A spatial econometric multivariate model of Okun's law," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    8. Evgeny V. Balatsky & Natalia A. Ekimova, 2023. "Antifragility of the national economy: A heuristic assessment," Journal of New Economy, Ural State University of Economics, vol. 24(2), pages 28-49, July.
    9. Alejandro Almeida & Aida Galiano & Antonio A. Golpe & Juan M. Martín, 2020. "Regional unemployment and cyclical sensitivity in Spain," Letters in Spatial and Resource Sciences, Springer, vol. 13(2), pages 187-199, August.
    10. 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.
    11. 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.
    12. Danqing Chen & Jianbao Chen & Shuangshuang Li, 2021. "Instrumental Variable Quantile Regression of Spatial Dynamic Durbin Panel Data Model with Fixed Effects," Mathematics, MDPI, vol. 9(24), pages 1-24, December.
    13. Florin Oprea & Mihaela Onofrei & Dan Lupu & Georgeta Vintila & Gigel Paraschiv, 2020. "The Determinants of Economic Resilience. The Case of Eastern European Regions," Sustainability, MDPI, vol. 12(10), pages 1-11, May.
    14. Solmaria Halleck Vega & J. Paul Elhorst, 2017. "Regional labour force participation across the European Union: a time–space recursive modelling approach with endogenous regressors," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(2-3), pages 138-160, July.

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