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Bayesian analysis of growth using stochastic frontier model

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Author Info
Arkadiusz Wisniowski () (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.

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File URL: http://www.sgh.waw.pl/instytuty/zes/wp/aewp01-08.pdf
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Publisher 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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Postal: 02-554 Warszawa, Al. Niepodległosci 164
Web page: http://www.sgh.waw.pl/instytuty/zes
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Related research
Keywords: Bayesian analysis Gibbs sampler economic growth stochastic frontier analysis

Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data
O49 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Other

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This page was last updated on 2008-8-18.

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