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What drives unemployment disparities in European regions? A dynamic spatial panel approach

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  • Vicente Rios

Abstract

What drives unemployment disparities in European regions? A dynamic spatial panel approach. Regional Studies. This study analyzes unemployment differentials in European regions during the period 2000–11. To that end, a theoretical model with substantive spatial interactions among regions is developed. The solution implies a dynamic-spatial Durbin model specification including regional and institutional-level factors as explanatory variables. In conjunction with dynamic-spatial panel estimates, relative importance metrics are used to quantify the effect of regional disequilibrium, equilibrium and national-level factors. Relative importance analysis suggests that during the pre-crisis period, unemployment disparities were mainly driven by regional-level equilibrium factors. Nevertheless, labour market institutions are of major importance to explain increasing disparities during 2009–11.

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  • Vicente Rios, 2017. "What drives unemployment disparities in European regions? A dynamic spatial panel approach," Regional Studies, Taylor & Francis Journals, vol. 51(11), pages 1599-1611, November.
    • Handle: RePEc:taf:regstd:v:51:y:2017:i:11:p:1599-1611
    DOI: 10.1080/00343404.2016.1216094
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    2. de Graaff, Thomas & Ozgen, Ceren & Roth, Duncan H.W., 2018. "Varying Youth Cohort Effects on Regional Labour Market Outcomes in Germany," IZA Discussion Papers 11932, Institute of Labor Economics (IZA).
    3. 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.
    4. Ruggero Cefalo & Rosario Scandurra & Yuri Kazepov, 2020. "Youth Labor Market Integration in European Regions," Sustainability, MDPI, vol. 12(9), pages 1-18, May.
    5. Miriam Hortas-Rico & Vicente Rios, 2020. "Is there an optimal size for local governments? A spatial panel data model approach," Regional Studies, Taylor & Francis Journals, vol. 54(7), pages 958-973, July.
    6. Sébastien BOURDIN, 2018. "Géographie de la résilience des régions européennes face à la crise (2008-2013)," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 48, pages 53-70.
    7. 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.
    8. Jesús Peiró‐Palomino & Andrés J. Picazo‐Tadeo & Vicente Rios, 2020. "Well‐being in European regions: Does government quality matter?," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 555-582, June.
    9. Lisa Gianmoena & Vicente Rios, 2018. "The Determinants of Resilience in European Regions During the Great Recession: a Bayesian Model Averaging Approach," Discussion Papers 2018/235, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    10. 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.
    11. Pietro Pizzuto, 2020. "The role of regional competitiveness in shaping the heterogeneous impact of the Great Recession," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(2), pages 267-290, April.
    12. Rios, Vicente & Gianmoena, Lisa, 2020. "The link between quality of government and regional resilience in Europe," Journal of Policy Modeling, Elsevier, vol. 42(5), pages 1064-1084.
    13. Yongqing Nan & Qin Li & Jinxiang Yu & Haiya Cai & Qin Zhou, 2020. "Has the emissions intensity of industrial sulphur dioxide converged? New evidence from China’s prefectural cities with dynamic spatial panel models," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5337-5369, August.

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