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Labour Market Dynamics in EU: a Bayesian Markov Chain Approach

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Author Info
George A. Christodoulakis () (Manchester Business School, University of Manchester)
Emmanuel C. Mamatzakis () (Department of Economics, University of Macedonia)

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Abstract

This paper focuses on labour market dynamics in the EU 15 using Markov Chains for proportions of aggregate data for the first time in this 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, temporary employment and unemployment and vice a versa. Thus, statistical inferences are readily available. Our results show that there are substantial variations in the transition probabilities across countries, implying that the convergence of the EU-15 labour markets is far from completed. However, some common patterns are observed as countries with flexible labour markets exhibit similar transition probabilities between different states of the labour market.

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Publisher Info
Paper provided by Department of Economics, University of Macedonia in its series Discussion Paper Series with number 2009_07.

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Date of creation: Apr 2009
Date of revision: Apr 2009
Handle: RePEc:mcd:mcddps:2009_07

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Related research
Keywords: Employment; Unemployment; Markov Chains.;

Find related papers by JEL classification:
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
E24 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution
E27 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation
E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation

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  1. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2004. "The Response of Hours to a Technology Shock: Evidence Based on Direct Measures of Technology," NBER Working Papers 10254, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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This page was last updated on 2009-11-4.


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