USING MARKOV CHAIN ANALYSIS TO ASSESS THE CONVERGENCE TRENDS IN THE EMPLOYED POPULATION IN ROMANIAN URBAN AREAS

Daniela Hãžncu ()
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Daniela Hãžncu: Academy of Economic Studies, Piata Romana 6, Bucharest, Romania
Authors registered in the RePEc Author Service: Daniela Liliana Hincu

Theoretical and Empirical Researches in Urban Management, 2011, vol. 6, issue 4, 33-44

Abstract: The paper presents an application of a short time forecasting methods used to make forecast on the population employed in various economic activities. The rates of employment, along with some demographic features of the local inhabitants are of major interest for the highly responsible decision makers and urban planners and for the business environment, as well for the local institutions in delivering different public services. The Markov chain analysis is used to allow pointing out the divergent dynamics of the proportion the employed person in various territorial areas vs. the national trend, as revealed by the numerical application of the Markov method. The raw data were imported from the Eurostat database (updated autumn 2011), the folder concerning the Urban audit – derived indicators for 14 Romanian main cities (including Bucharest) and Regional statistics’s section – Regional employment - Employment by economic activity, at NUTS levels 1 and 2 (1000 persons).

Keywords: Markov chain; population; urban areas (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:rom:terumm:v:6:y:2011:i:4:p:33-44

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