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Intersectoral Labour Reallocation and Employment Volatility: A Bayesian Analysis using a VAR-GARCH-M model Author info | Abstract | Publisher info | Download info | Related research | Statistics Gianluigi Pelloni
Wolfgang Polasek
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Based on the macroeconomic VAR model for total employment and sectoral employment shares developed by Campbell and Kuttner (1996) we extend the model to a multivariate ARCH in mean (ARCH- M) model. We investigate the question of whether volatile growth in sectoral employment shares has an impact on total employment. The estimation method we use is the Gibbs-Metropolis algorithm for a Bayesian vector ARCH (B-VAR) model. This model is a standard tool in Financial econometrics and was developed by Engle (1986). The Bayesian estimation gives an exact small sample solution. It is found that a model incorporating a GARCH-M structure performs better than a simple VAR. Moreover sectoral shocks can account for more than 60% of the variance of total employment growth within a VAR-GARCH-M framework.
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Paper provided by Department of Economics, University of York in its series Discussion Papers with number
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Gianluigi Pelloni & Wolfgang Polasek, 2003.
"Macroeconomic Effects of Sectoral Shocks in Germany, The U.K. and, The U.S. A VAR-GARCH-M Approach ,"
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Other versions: Theodore Panagiotidis & Gianluigi Pelloni & Wolfgang Polasek, 2003.
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2003_15, Department of Economics, Loughborough University, revised 2003.
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repec:wop:ubisop:0004 is not listed on IDEAS
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