UNEMPLOYMENT IN POLISH REGIONS FROM THE PERSPECTIVE OF SPATIAL AUTOCORRELATION

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Nov 11, 2016
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Vol. 103 No. 3 (2016)
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Mariola Chrzanowska
Department of Econometrics and Statistics, Faculty of Applied Informatics and Mathematics Warsaw University of Life Sciences – SGGW
https://orcid.org/0000-0002-8743-7437
Nina Drejerska
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie, Wydział Nauk Ekonomicznych
https://orcid.org/0000-0001-7591-8121

DOI: https://doi.org/10.22630/RNR.2016.103.3.30
Keywords : rural-urban typology, spatial autocorrelation, Moran’s statistic
Abstract
Unemployment is traditionally a phenomenon analysed by economists. Recently these investigations are often run with use of methods allowing for identification of spatial autocorrelation on the labour market. The aim of the study is to analyse spatial interrelationships of the unemployment rate between Polish regions (NUTS2) and then to verify if any results can be interpreted through a perspective of the urban-rural classification for NUTS 3 regions applied by the European Union. Research covered the period from 2004 to 2014 and was based on the data of the Central Statistical Office of Poland. The global and local Moran’s statistics were applied. Results prove existence of spatial patterns on labour market in Poland - local statistics indicate that outliers and clusters of similar regions occur.

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How to Cite
Chrzanowska, M., & Drejerska, N. (2016). UNEMPLOYMENT IN POLISH REGIONS FROM THE PERSPECTIVE OF SPATIAL AUTOCORRELATION. Annals of Agricultural Economics and Rural Development, 103(3), 101–116. https://doi.org/10.22630/RNR.2016.103.3.30
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