Bayesian analysis of growth using stochastic frontier model
AbstractWe 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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Bibliographic InfoPaper provided by Department of Applied Econometrics, Warsaw School of Economics in its series Working Papers with number 23.
Length: 35 pages
Date of creation: 01 Jan 2008
Date of revision:
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Bayesian analysis; Gibbs sampler; economic growth; stochastic frontier analysis;
Find related papers by JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- O49 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Other
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-01-05 (All new papers)
- NEP-EFF-2008-01-05 (Efficiency & Productivity)
- NEP-ORE-2008-01-05 (Operations Research)
- NEP-TRA-2008-01-05 (Transition Economics)
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