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”)

Cristina Lincaru (), Vasilica Ciuca and Draga Atanasiu
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Vasilica Ciuca: INCSMPS - National Research Institute for Labour and Social Protection
Draga Atanasiu: INCSMPS - National Research Institute for Labour and Social Protection

Institute for Economic Forecasting Conference Proceedings from Institute for Economic Forecasting

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.

Keywords: spatial integration; spatial autocorrelation; clustering; unemployment (search for similar items in EconPapers)
JEL-codes: J64 R23 (search for similar items in EconPapers)
Pages: 12 pages
Date: 2015-05
New Economics Papers: this item is included in nep-tra
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Citations: View citations in EconPapers (2)

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