A Bayesian Markov Chain Approach Using Proportions Labour Market Data for Greek Regions

Emmanuel Mamatzakis and G Christodoulakis

MPRA Paper from University Library of Munich, Germany

Abstract: This paper focuses on Greek labour market dynamics at a regional base, which comprises of 16 provinces, as defined by NUTS levels 1 and 2 (Eurostat, 2008), using Markov Chains for proportions data for the first time in the literature. We apply a Bayesian approach, which employs a Monte Carlo Integration procedure that uncovers the entire empirical posterior distribution of transition probabilities from full employment to part employment, unemployment and economically unregistered unemployment and vice a versa. Our results show that there are disparities in the transition probabilities across regions, implying that the convergence of the Greek labour market at a regional base is far from being considered as completed. However, some common patterns are observed as regions in the south of the country exhibit similar transition probabilities between different states of the labour market.

Keywords: Greek Regions; Employment; Unemployment; Markov Chains. (search for similar items in EconPapers)
JEL-codes: C53 E24 E27 (search for similar items in EconPapers)
Date: 2010-08-19
New Economics Papers: this item is included in nep-geo and nep-lab
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Citations: View citations in EconPapers (5)

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