IDEAS home Printed from https://ideas.repec.org/a/spr/lsprsc/v13y2020i2d10.1007_s12076-020-00252-3.html
   My bibliography  Save this article

Regional unemployment and cyclical sensitivity in Spain

Author

Listed:
  • Alejandro Almeida

    (International University of La Rioja)

  • Aida Galiano

    (International University of La Rioja)

  • Antonio A. Golpe

    (University of Huelva)

  • Juan M. Martín

    (International University of La Rioja)

Abstract

Unemployment has been routinely used as a measure of the economic cycle. In addition, regional unemployment rates are characterized by, among other factors, their relation to the national unemployment rate. In this regard, the literature on regional sensitivity to the economic cycle has analyzed how fluctuations in the national unemployment rate affect the regions. In recent years, due to the great impact of past crises, the development of new econometric techniques and the possible arrival of new crises, the debate on how sensitive regions are to the economic cycle has reopened. In Spain, this debate is necessary since unemployment rates are very high and display a great deal of heterogeneity. We analyzed regional unemployment rates in Spain between 1978 and 2018 through a recently developed dynamic spatial econometric model with common factors and found that some regions are more sensitive than others to the economic cycle. The results seem to show that in Spain, the sensitivity to the economic cycle displays a geographical pattern where the most sensitive regions are those located on the Mediterranean coast. Specifically, we find that the sensitivity to the economic cycle of unemployment is not determined by the fact that regions have high or low unemployment; it seems that geographical location plays an important role. These results can be useful for the national and regional governments when they implement countercyclical policies.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:lsprsc:v:13:y:2020:i:2:d:10.1007_s12076-020-00252-3
    DOI: 10.1007/s12076-020-00252-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12076-020-00252-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12076-020-00252-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Ron Martin, 1997. "Regional Unemployment Disparities and their Dynamics," Regional Studies, Taylor & Francis Journals, vol. 31(3), pages 237-252.
    3. Maria Gadea & Ana Gómez-Loscos & Antonio Montañés, 2012. "Cycles inside cycles: Spanish regional aggregation," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 3(4), pages 423-456, December.
    4. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    5. Claudiu Tiberiu Albulescu & Aviral Kumar Tiwari, 2018. "Unemployment persistence in EU countries: new evidence using bounded unit root tests," Applied Economics Letters, Taylor & Francis Journals, vol. 25(12), pages 807-810, July.
    6. Warwick McKibbin & Roshen Fernando, 2021. "The Global Macroeconomic Impacts of COVID-19: Seven Scenarios," Asian Economic Papers, MIT Press, vol. 20(2), pages 1-30, Summer.
    7. Bande, Roberto & Fernández, Melchor & Montuenga, Víctor, 2008. "Regional unemployment in Spain: Disparities, business cycle and wage setting," Labour Economics, Elsevier, vol. 15(5), pages 885-914, October.
    8. Celia Melguizo, 2017. "An analysis of Okun’s law for the Spanish provinces," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 37(1), pages 59-90, February.
    9. 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.
    10. 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.
    11. Frank Brechling, 1967. "Trends And Cycles In British Regional Unemployment," Oxford Economic Papers, Oxford University Press, vol. 19(1), pages 1-21.
    12. A. P. Thirlwall, 1966. "Regional Unemployment As A Cyclical Phenomenon1," Scottish Journal of Political Economy, Scottish Economic Society, vol. 13(2), pages 205-219, June.
    13. Jan Ditzen, 2019. "XTCSE2: Stata module to estimate the exponent of cross-sectional dependence in large panels," Statistical Software Components S458670, Boston College Department of Economics, revised 15 May 2023.
    14. Hector Sala & Pedro Trivín, 2014. "Labour market dynamics in Spanish regions: evaluating asymmetries in troublesome times," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 5(2), pages 197-221, August.
    15. 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.
    16. Maximo Camacho & Matias Pacce & Camilo Ulloa, 2017. "Business cycle phases in Spain," Working Papers 17/20, BBVA Bank, Economic Research Department.
    17. Domazlicky, Bruce R., 1980. "Regional Business Cycles: A Survey," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 10(1), pages 1-20.
    18. Francesco Moscone & Elisa Tosetti, 2009. "A Review And Comparison Of Tests Of Cross‐Section Independence In Panels," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 528-561, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alejandro Almeida & Antonio Golpe & Raquel Justo, 2021. "From hot to cold: A spatial analysis of self‐employment in the United States," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 1005-1023, August.
    2. Gordon F. Mulligan, 2023. "Economic vulnerability in US metropolitan areas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(1), pages 29-53, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Vassilis Monastiriotis & Angelo Martelli, 2021. "Crisis, Adjustment and Resilience in the Greek Labor Market: An Unemployment Decomposition Approach," International Regional Science Review, , vol. 44(1), pages 85-112, January.
    4. Hector Sala & Pedro Trivín, 2014. "Labour market dynamics in Spanish regions: evaluating asymmetries in troublesome times," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 5(2), pages 197-221, August.
    5. Werner, Daniel, 2013. "New insights into the development of regional unemployment disparities," IAB-Discussion Paper 201311, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Matteo Lanzafame, 2010. "The nature of regional unemployment in Italy," Empirical Economics, Springer, vol. 39(3), pages 877-895, December.
    7. Elhorst, J. Paul, 2000. "The Mystery Of Regional Unemployment Differentialsa Survey Of Theoretical And Empirical Explanations," ERSA conference papers ersa00p60, European Regional Science Association.
    8. David Gray, 2004. "Persistent Regional Unemployment Differentials Revisited," Regional Studies, Taylor & Francis Journals, vol. 38(2), pages 167-176.
    9. repec:dgr:rugsom:00c06 is not listed on IDEAS
    10. 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.
    11. Román Mínguez & Roberto Basile & María Durbán, 2020. "An alternative semiparametric model for spatial panel data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(4), pages 669-708, December.
    12. David Shepherd & Robert Dixon, 2002. "The Relationship Between Regional and National Unemployment," Regional Studies, Taylor & Francis Journals, vol. 36(5), pages 469-480.
    13. J.Paul Elhorst, 2005. "Models for Dynamic Panels in Space and Time - an Application to Regional Unemployment in the EU," ERSA conference papers ersa05p81, European Regional Science Association.
    14. Ciccarelli, Carlo & Elhorst, J.Paul, 2018. "A dynamic spatial econometric diffusion model with common factors: The rise and spread of cigarette consumption in Italy," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 131-142.
    15. 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.
    16. J. Paul Elhorst & Marco Gross & Eugen Tereanu, 2021. "Cross‐Sectional Dependence And Spillovers In Space And Time: Where Spatial Econometrics And Global Var Models Meet," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 192-226, February.
    17. Tsunetada Hirobe, 2015. "Economic shift-share effects and spatial agglomeration regarding inter-regional disparities of labour market in the USA," Regional Science Policy & Practice, Wiley Blackwell, vol. 7(3), pages 103-117, August.
    18. J. Paul Elhorst, 2022. "The dynamic general nesting spatial econometric model for spatial panels with common factors: Further raising the bar," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(3), pages 249-267, December.
    19. Mark D. Partridge & Dan S. Rickman & M. Rose Olfert & Ying Tan, 2015. "When Spatial Equilibrium Fails: Is Place-Based Policy Second Best?," Regional Studies, Taylor & Francis Journals, vol. 49(8), pages 1303-1325, August.
    20. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    21. Lozano, Ignacio & Julio, Juan Manuel, 2016. "Fiscal decentralization and economic growth in Colombia: evidence from regional-level panel data," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.

    More about this item

    Keywords

    Cyclical sensitivity; Regional unemployment; Spatial dependence; Common factor; Spain;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:lsprsc:v:13:y:2020:i:2:d:10.1007_s12076-020-00252-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.