Bayesian analysis of growth using stochastic frontier model

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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Year of publication:	2008-01-01
Authors:	Wisniowski, Arkadiusz
Institutions:	Zakład Ekonometrii Stosowanej, Szkoła Główna Handlowa w Warszawie
Subject:	Bayesian analysis \| Gibbs sampler \| economic growth \| stochastic frontier analysis

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Extent:	application/pdf
Series:	Working Papers.
Type of publication:	Book / Working Paper
Notes:	Number 23 35 pages
Classification:	C11 - Bayesian Analysis ; C33 - Models with Panel Data ; O49 - Economic Growth and Aggregate Productivity. Other
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005113475