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Commuting effects in Okun's Law among British areas: Evidence from spatial panel econometrics

Author

Listed:
  • Silvia Palombi

    (University of Strathclyde [Glasgow])

  • Roger Perman

    (University of Strathclyde [Glasgow])

  • Christophe Tavera

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper examines Okun's Law using a spatial panel approach on NUTS 3 data for Great Britain over the period 1985–2011. The basic specification used as a starting point for the spatial analysis is the relationship between real output growth and unemployment rate changes. This is extended to incorporate spatial lags, to test for the presence of commuting effects, and to accommodate spatial residuals dependence. We estimate various spatial panel models, controlling for heterogeneity across areas, and find consistent evidence of a significant Okun's coefficient. Results also show that spillover effects from labour mobility and interregional linkages matter and have important implications for the validity of the empirical law.

Suggested Citation

  • Silvia Palombi & Roger Perman & Christophe Tavera, 2017. "Commuting effects in Okun's Law among British areas: Evidence from spatial panel econometrics," Post-Print halshs-01141294, HAL.
  • Handle: RePEc:hal:journl:halshs-01141294
    DOI: 10.1111/pirs.12166
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01141294
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    1. Nicholas Apergis & Anthony Rezitis, 2003. "An examination of Okun's law: evidence from regional areas in Greece," Applied Economics, Taylor & Francis Journals, vol. 35(10), pages 1147-1151.
    2. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
    3. Morrison, Philip S. & Papps, Kerry L. & Poot, Jacques, 2006. "Wages, employment, labour turnover and the accessibility of local labour markets," Labour Economics, Elsevier, vol. 13(5), pages 639-663, October.
    4. Bernard Fingleton, 2008. "A Generalized Method of Moments Estimator for a Spatial Panel Model with an Endogenous Spatial Lag and Spatial Moving Average Errors," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(1), pages 27-44.
    5. Simonetta Longhi & Peter Nijkamp & Jacques Poot, 2006. "Spatial Heterogeneity And The Wage Curve Revisited," Journal of Regional Science, Wiley Blackwell, vol. 46(4), pages 707-731, October.
    6. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    7. 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.
    8. 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.
    9. Aki Kangasharju & Christophe Tavera & Peter Nijkamp, 2012. "Regional Growth and Unemployment: The Validity of Okun's Law for the Finnish Regions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(3), pages 381-395, September.
    10. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    11. Fingleton, Bernard, 2010. "Predicting the geography of house prices," LSE Research Online Documents on Economics 33507, London School of Economics and Political Science, LSE Library.
    12. Timo Mitze, 2012. "Empirical Modelling in Regional Science," Lecture Notes in Economics and Mathematical Systems, Springer, edition 127, number 978-3-642-22901-5, October.
    13. Kelejian, Harry H. & Prucha, Ingmar R., 2004. "Estimation of simultaneous systems of spatially interrelated cross sectional equations," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 27-50.
    14. Cross, Rod, 1993. "On the Foundations of Hysteresis in Economic Systems," Economics and Philosophy, Cambridge University Press, vol. 9(1), pages 53-74, April.
    15. repec:bla:kyklos:v:50:y:1997:i:2:p:221-45 is not listed on IDEAS
    16. 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.
    17. Bernard Fingleton, 2003. "Increasing returns: evidence from local wage rates in Great Britain," Oxford Economic Papers, Oxford University Press, vol. 55(4), pages 716-739, October.
    18. Freeman, Donald G, 2001. "Panel Tests of Okun's Law for Ten Industrial Countries," Economic Inquiry, Western Economic Association International, vol. 39(4), pages 511-523, October.
    19. Blanchard, Olivier J. & Summers, Lawrence H., 1987. "Hysteresis in unemployment," European Economic Review, Elsevier, vol. 31(1-2), pages 288-295.
    20. Burridge, Peter & Gordon, Ian Richard, 1981. "Unemployment in the British Metropolitan Labour Areas," Oxford Economic Papers, Oxford University Press, vol. 33(2), pages 274-297, July.
    21. Villaverde, José & Maza, Adolfo, 2009. "The robustness of Okun's law in Spain, 1980-2004: Regional evidence," Journal of Policy Modeling, Elsevier, vol. 31(2), pages 289-297.
    22. Giuseppe Arbia & Roberto Basile & Gianfranco Piras, 2005. "Using Spatial Panel Data in Modelling Regional Growth and Convergence," ISAE Working Papers 55, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    23. Kapoor, Mudit & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Panel data models with spatially correlated error components," Journal of Econometrics, Elsevier, vol. 140(1), pages 97-130, September.
    24. J. Paul Elhorst & Uwe Blien & Katja Wolf, 2007. "New Evidence on the Wage Curve," International Regional Science Review, , vol. 30(2), pages 173-191, April.
    25. David M. Drukker & Peter Egger & Ingmar R. Prucha, 2013. "On Two-Step Estimation of a Spatial Autoregressive Model with Autoregressive Disturbances and Endogenous Regressors," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 686-733, August.
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    Cited by:

    1. Bande, Roberto & Martín-Román, Ángel, 2018. "Regional differences in the Okun’s Relationship: New Evidence for Spain (1980-2015)," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 41, pages 137-165.
    2. Buendía Azorín, José Daniel & Sánchez de la Vega, María del Mar, 2017. "Output growth thresholds for the creation of employment and the reduction of unemployment: A spatial analysis with panel data from the Spanish provinces, 2000–2011," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 42-49.
    3. Porras-Arena, M. Sylvina & Martín-Román, Ángel L., 2023. "The heterogeneity of Okun's law: A metaregression analysis," Economic Modelling, Elsevier, vol. 128(C).
    4. Shuo Wang & Junnian Song & Xian’En Wang & Wei Yang, 2019. "The Spatial and Temporal Research on the Coupling and Coordinated Relationship between Social Economy and Energy Environment in the Belt and Road Initiatives," Sustainability, MDPI, vol. 11(2), pages 1-18, January.
    5. Ousama Ben-Salha & Zouhair Mrabet, 2019. "Is Economic Growth Really Jobless? Empirical Evidence from North Africa," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 61(4), pages 598-624, December.
    6. Luigi Bonaventura & Roberto Cellini & Mario Sambataro, 2020. "Gender differences in the Okun's law across the Italian regions," Economics Bulletin, AccessEcon, vol. 40(4), pages 2780-2789.
    7. Martin Boďa & Mariana Považanová, 2020. "Formal and statistical aspects of estimating Okun's law at a regional level," Papers in Regional Science, Wiley Blackwell, vol. 99(4), pages 1113-1136, August.
    8. Elhorst, J. Paul & Emili, Silvia, 2022. "A spatial econometric multivariate model of Okun's law," Regional Science and Urban Economics, Elsevier, vol. 93(C).

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