IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa04p7.html
   My bibliography  Save this paper

Spanish unemployment: normative versus analytical regionalisation procedures

Author

Listed:
  • Juan Carlos Duque
  • Raúl Ramos

Abstract

In applied regional analysis, statistical information is usually published at different territorial levels with the aim of providing information of interest for different potential users. When using this information, there are two different choices: first, to use normative regions (towns, provinces, etc.), or, second, to design analytical regions directly related with the analysed phenomena. In this paper, provincial time series of unemployment rates in Spain are used in order to compare the results obtained by applying two analytical regionalisation models (a two stages procedure based on cluster analysis and a procedure based on mathematical programming) with the normative regions available at two different scales: NUTS II and NUTS I. The results have shown that more homogeneous regions were designed when applying both analytical regionalisation tools. Two other obtained interesting results are related with the fact that analytical regions were also more stable along time and with the effects of scale in the regionalisation process. Keywords: Unemployment, normative region, analytical region, regionalisation. JEL Codes: E24, R23, C61.

Suggested Citation

  • Juan Carlos Duque & Raúl Ramos, 2004. "Spanish unemployment: normative versus analytical regionalisation procedures," ERSA conference papers ersa04p7, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa04p7
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa04/PDF/7.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Theodore M. Crone, 2003. "An alternative definition of economic regions in the U.S. based on similarities in state business cycles," Working Papers 03-23, Federal Reserve Bank of Philadelphia.
    2. Gordon, A. D., 1996. "A survey of constrained classification," Computational Statistics & Data Analysis, Elsevier, vol. 21(1), pages 17-29, January.
    3. Enrique López-Bazo & Tomás del Barrio & Manuel Artis, 2002. "The regional distribution of Spanish unemployment: A spatial analysis," Papers in Regional Science, Springer;Regional Science Association International, vol. 81(3), pages 365-389.
    4. Juan Carlos Duque & Raúl Ramos, 2004. "Design of homogenous territorial units: a methodological proposal," ERSA conference papers ersa04p6, European Regional Science Association.
    Full references (including those not matched with items on IDEAS)

    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. Juan Duque & Manuel Artís & Raúl Ramos, 2006. "The ecological fallacy in a time series context: evidence from Spanish regional unemployment rates," Journal of Geographical Systems, Springer, vol. 8(4), pages 391-410, October.
    2. Juan Carlos Duque & Raúl Ramos & Jordi Suriñach, 2007. "Supervised Regionalization Methods: A Survey," International Regional Science Review, , vol. 30(3), pages 195-220, July.
    3. Olga Alonso-Villar & Coral Del R�o, 2008. "Geographical Concentration of Unemployment: A Male-Female Comparison in Spain," Regional Studies, Taylor & Francis Journals, vol. 42(3), pages 401-412, April.
    4. 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.
    5. Tindara Addabbo & Rosa García-Fernández & Carmen Llorca-Rodríguez & Anna Maccagnan, 2013. "The effect of the crisis on material deprivation in Italy and Spain," Department of Economics (DEMB) 0019, University of Modena and Reggio Emilia, Department of Economics "Marco Biagi".
    6. Kondo, Keisuke, 2015. "Spatial persistence of Japanese unemployment rates," Japan and the World Economy, Elsevier, vol. 36(C), pages 113-122.
    7. Ines Murillo & Fernando Núñez & Carlos Usabiaga, 2005. "Differentials and persistence in unemployment - an analysis of the Spanish regions with the highest unemployment rates," ERSA conference papers ersa05p278, European Regional Science Association.
    8. Recchia, Anthony, 2010. "Contiguity-Constrained Hierarchical Agglomerative Clustering Using SAS," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(c02).
    9. Godwin Aloyce Myovella, 2018. "Socio-economic Factors that Determine Employment in Tanzania: Spatial Analysis," Business and Economic Research, Macrothink Institute, vol. 8(1), pages 154-163, March.
    10. 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.
    11. Laura Helena Kivi, 2019. "Spatial Interactions Of Regional Labour Markets In Europe," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 116, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    12. Alpay Filiztekin, 2009. "Regional unemployment in Turkey," Papers in Regional Science, Wiley Blackwell, vol. 88(4), pages 863-878, November.
    13. Rui Fragoso & Conceição Rego & Vladimir Bushenkov, 2016. "Clustering of Territorial Areas: A Multi-Criteria Districting Problem," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(2), pages 179-198, December.
    14. International Monetary Fund, 2012. "Belgium: Selected Issues Paper," IMF Staff Country Reports 2012/056, International Monetary Fund.
    15. Roberto Bande & Marika Karanassou, 2013. "The Natural Rate of Unemployment Hypothesis and the Evolution of Regional Disparities in Spanish Unemployment," Urban Studies, Urban Studies Journal Limited, vol. 50(10), pages 2044-2062, August.
    16. 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.
    17. 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.
    18. repec:jss:jstsof:33:c02 is not listed on IDEAS
    19. Roberto Bande & Marika Karanassou, 2011. "The NRU and the Evolution of Regional Disparities in Spanish Unemployment," Working Papers 681, Queen Mary University of London, School of Economics and Finance.
    20. Joanna Tyrowicz & Piotr Wojcik, 2010. "Active Labour Market Policies and Unemployment Convergence in Transition," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 2(1), pages 46-72, January.
    21. Maria Francesca Cracolici & Miranda Cuffaro & Peter Nijkamp, 2007. "Geographical Distribution of Unemployment: An Analysis of Provincial Differences in Italy," Growth and Change, Wiley Blackwell, vol. 38(4), pages 649-670, December.

    More about this item

    Keywords

    unemployment; normative region; analytical region; regionalisation. jel codes: e24; r23; c61.;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wiw:wiwrsa:ersa04p7. 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: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    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.