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Geographical Distribution of Unemployment: An Analysis of Provincial Differences in Italy

Author

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  • Maria Francesca Cracolici

    () (University of Palermo)

  • Miranda Cuffaro

    () (University of Palermo)

  • Peter Nijkamp

    () (VU University, Amsterdam)

Abstract

Unemployment rates appear to vary widely at a subregional (e.g., local or provincial) level. Using spatial econometric models for spatial autocorrelation, this paper focuses attention on the spatial structure of regional unemployment disparities of Italian provinces. On the basis of findings from the economic literature and of the available socio-economic data, various model specifications including different explanatory variables are tested to investigate the geographical distribution of unemployment in the 103 provinces of Italy for the years 1998 and 2003. The results suggest that there is a clear explanation of unemployment differentials in terms of spatial equilibrium and disequilibrium factors and a significant degree of spatial dependence among labour markets at the provincial level in Italy. Provinces marked by high unemployment, as well as those characterized by low unemployment, tend to be spatially clustered, demonstrating the presence of unemployment ‘persistency’ in space and time regimes.

Suggested Citation

  • Maria Francesca Cracolici & Miranda Cuffaro & Peter Nijkamp, 2007. "Geographical Distribution of Unemployment: An Analysis of Provincial Differences in Italy," Tinbergen Institute Discussion Papers 07-065/3, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20070065
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    Cited by:

    1. Roberto Patuelli & Norbert Schanne & Daniel A. Griffith & Peter Nijkamp, 2012. "Persistence Of Regional Unemployment: Application Of A Spatial Filtering Approach To Local Labor Markets In Germany," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 300-323, May.
    2. Semerikova, Elena, 2014. "Unemployment in East and West Germany: Spatial panel data analysis," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 35(3), pages 107-132.
    3. Vicente Rios Ibañez, 2014. "What drives regional unemployment convergence?," ERSA conference papers ersa14p924, European Regional Science Association.
    4. Ana María Díaz, 2016. "Spatial Unemployment Differentials in Colombia," REVISTA DESARROLLO Y SOCIEDAD, UNIVERSIDAD DE LOS ANDES-CEDE, vol. 76, February.
    5. M. Agovino, 2014. "Do “good neighbors” enhance regional performances in including disabled people in the labor market? A spatial Markov chain approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 93-121, August.
    6. Edmund J. Zolnik, 2011. "The Geographic Distribution of U.S. Unemployment by Gender," Economic Development Quarterly, , vol. 25(1), pages 91-103, February.
    7. repec:taf:pocoec:v:28:y:2016:i:4:p:487-519 is not listed on IDEAS
    8. Cristiano Perugini & Marcello Signorelli, 2010. "Youth labour market performance in European regions," Economic Change and Restructuring, Springer, vol. 43(2), pages 151-185, May.
    9. Michelle Gilmartin & Dimitris Korobilis, 2012. "On Regional Unemployment: An Empirical Examination of the Determinants of Geographical Differentials in the UK," Scottish Journal of Political Economy, Scottish Economic Society, vol. 59(2), pages 179-195, May.
    10. Roberto Patuelli & Daniel A. Griffith & Michael Tiefelsdorf & Peter Nijkamp, 2009. "Spatial Filtering and Eigenvector Stability: Space-Time Models for German Unemployment Data," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 0902, USI Università della Svizzera italiana.
    11. Enrique López-Bazo & Elisabet Motellón, 2013. "The regional distribution of unemployment: What do micro-data tell us?," Papers in Regional Science, Wiley Blackwell, vol. 92(2), pages 383-405, June.
    12. Massimiliano Agovino & Antonio Garofalo, 2013. "Dipendenza spaziale contemporanea e non contemporanea nei tassi di disoccupazione: un tentativo di analisi empirica dei dati provinciali italiani," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2013(3), pages 45-82.
    13. Cuéllar Martín, Jaime & Martín-Román, Ángel L. & Moral, Alfonso, 2017. "A composed error model decomposition and spatial analysis of local unemployment," MPRA Paper 79783, University Library of Munich, Germany.
    14. Maria Cracolici & Miranda Cuffaro & Peter Nijkamp, 2009. "A spatial analysis on Italian unemployment differences," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(2), pages 275-291, July.
    15. Piotr Ciżkowicz & Michał Kowalczuk & Andrzej Rzońca, 2016. "Heterogeneous determinants of local unemployment in Poland," Post-Communist Economies, Taylor & Francis Journals, vol. 28(4), pages 487-519, October.
    16. Demidova, Olga, 2014. "Spatial-autoregressive model for the two groups of related regions (eastern and western parts of Russia)," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 34(2), pages 19-35.
    17. Román Mínguez & María L. & Roberto Basile, 2016. "Spatio-Temporal Autoregressive Semiparametric Model for the analysis of regional economic data," Working Papers LuissLab 16126, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    18. Kondo, Keisuke, 2015. "Spatial persistence of Japanese unemployment rates," Japan and the World Economy, Elsevier, vol. 36(C), pages 113-122.
    19. César Augusto MERCHÁN HERNÁNDEZ, 2014. "Desempleo y ocupación en las ciudades colombianas. Un ejercicio con datos panel," ARCHIVOS DE ECONOMÍA 011212, DEPARTAMENTO NACIONAL DE PLANEACIÓN.
    20. repec:spr:lsprsc:v:10:y:2017:i:2:d:10.1007_s12076-016-0180-8 is not listed on IDEAS
    21. Demidova, Olga & Marelli, Enrico & Signorelli, Marcello, 2015. "Youth labour market performances in the Russian and Italian regions," Economic Systems, Elsevier, vol. 39(1), pages 43-58.

    More about this item

    Keywords

    unemployment; spatial lag model; spatial autocorrelation; Italian provinces;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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