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Bayesian analysis of growth using stochastic frontier model

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  • Arkadiusz Wisniowski

    ()
    (Warsaw School of Economics)

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    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.

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    File URL: http://kolegia.sgh.waw.pl/pl/KAE/struktura/IE/struktura/ZES/Documents/Working_Papers/aewp01-08.pdf
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    Bibliographic Info

    Paper provided by Department of Applied Econometrics, Warsaw School of Economics in its series Working Papers with number 23.

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    Length: 35 pages
    Date of creation: 01 Jan 2008
    Date of revision:
    Handle: RePEc:wse:wpaper:23

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    Keywords: Bayesian analysis; Gibbs sampler; economic growth; stochastic frontier analysis;

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