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.
|Date of creation:||01 Jan 2008|
|Date of revision:|
|Contact details of provider:|| Postal: 02-513 Warszawa, ul. Madalinskiego 6/8|
Phone: + (48)(22) 49 12 51
Fax: + (48)(22) 49 53 12
Web page: http://www.sgh.waw.pl/instytuty/zes
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:wse:wpaper:23. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Marcin Owczarczuk)
If references are entirely missing, you can add them using this form.