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THE TENDENCY IDENTIFICATION OF OVERALL CLUSTERING OF REGISTERED UNEMPLOYMENT AT TERRITORIAL ADMINISTRATIVE UNIT LEVEL - UAT2 IN ROMANIA (International Conference “EUROPEAN PERSPECTIVE OF LABOR MARKET - INOVATION, EXPERTNESS, PERFORMANCE”)

Author

Listed:
  • Cristina LINCARU

    (INCSMPS - National Research Institute for Labour and Social Protection)

  • Vasilica CIUCA

    (INCSMPS - National Research Institute for Labour and Social Protection)

  • Draga ATANASIU

    (INCSMPS - National Research Institute for Labour and Social Protection)

Abstract

Integrating spatial socioeconomic variables gives a new perspective of analysis. The employment growth and fight against the unemployment policies implementing practice revealed an shielded limit of comparability given by the population mean indicator. Among the core indicators of labour market is recorded the registered unemployment. Literature revealed that reporting of this indicator only at county level (NUTS 3) is not sufficient differences induced by space features are significant. Based on statistical data provided by INS - TEMPO we propose a method to identify the trend of clustering of the number of registered unemployed persons at the lowest territorial administrative level - that registered unemployment persons at territorial administrative unit level - UAT2. The method is based on Global spatial autocorrelation measured by Moran's I in GeoDa based on Anselin (1995, 1996). The tendency of overall clustering of registered unemployment during the period January 2010 - June 2014, is evidenced by analyzing time series of Moran index. The main result of this article is the development of a temporal and spatial analysis methods applied for the registered unemployment to the smallest territorial administrative level.

Suggested Citation

  • Cristina LINCARU & Vasilica CIUCA & Draga ATANASIU, 2015. "THE TENDENCY IDENTIFICATION OF OVERALL CLUSTERING OF REGISTERED UNEMPLOYMENT AT TERRITORIAL ADMINISTRATIVE UNIT LEVEL - UAT2 IN ROMANIA (International Conference “EUROPEAN PERSPECTIVE OF LABOR MARKET ," Institute for Economic Forecasting Conference Proceedings 141104, Institute for Economic Forecasting.
    • Handle: RePEc:rjr:wpconf:141104
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    References listed on IDEAS

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    1. Manfred M. Fischer & Arthur Getis (ed.), 2010. "Handbook of Applied Spatial Analysis," Springer Books, Springer, number 978-3-642-03647-7, June.
    2. 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.
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    Cited by:

    1. Cristina LINCARU & Vasilica CIUCĂ & Speranța PIRCIOG & Draga ATANASIU & Beatrice CHIRIAC, 2015. "SOCIO-ECONOMIC DIMENSIONS IN LOCATIONS BY CLUSTERS IDENTIFIED FOR REGISTERED UNEMPLOYED PERSONS AT LAU2 /NUTS 5 LEVEL IN 2013 AND 2010 Abstract : Identifying locations that are part of the LAU2 two ty," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 4(Special I), pages 1-34, august.
    2. Galluzzo, Nicola, 2016. "Productive specialization in Romanian farms using Moran's Index," 149th Seminar, October 27-28, 2016, Rennes, France 244784, European Association of Agricultural Economists.

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    More about this item

    Keywords

    spatial integration; spatial autocorrelation; clustering; unemployment;
    All these keywords.

    JEL classification:

    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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