Bayesian analysis of growth using stochastic frontier model

Arkadiusz Wisniowski ()
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Arkadiusz Wisniowski: Warsaw School of Economics

No 23, Working Papers from Department of Applied Econometrics, Warsaw School of Economics

Abstract: We employ Bayesian approach to the analysis of economic growth in Poland. The results of estimation of a stochastic frontier model applied to production function of Polish voivodships in 2000 - 2004 are presented. Stochastic frontier approach allows to decompose growth into technological change, input change and efficiency change. In order to compute the posterior characteristics of the growth components we employ the Gibbs MCMC sampler.

Keywords: Bayesian analysis; Gibbs sampler; economic growth; stochastic frontier analysis (search for similar items in EconPapers)
JEL-codes: C11 C33 O49 (search for similar items in EconPapers)
Pages: 35 pages
Date: 2008-01-01
New Economics Papers: this item is included in nep-eff, nep-ore and nep-tra
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