Fronteira de Produção Estocástica: Uma Abordagem Bayesiana

Thaís C.O. da Fonseca

No 1073, Discussion Papers from Instituto de Pesquisa Econômica Aplicada - IPEA

Abstract: The model of stochastic production frontier on the classical specification getsmaximum likelihood estimates of model parameters e agents productivity. Theproposed Bayesian specification, estimated using Monte Carlo Markov Chain(MCMC) gets a sample from the distribution of the parameter and productivityestimator, which make possible measure the expected value and the interval ofmaximum density. In this paper is showed the implementation of this model, and isshowed, empirically, that the maximum likelihood estimator has a bias greater thanthe Bayesian version, in particular for the second moments.

Pages: 22 pages
Date: 2005-02
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.ipea.gov.br/portal/images/stories/PDFs/TDs/td_1073.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ipe:ipetds:1073

Access Statistics for this paper

More papers in Discussion Papers from Instituto de Pesquisa Econômica Aplicada - IPEA Contact information at EDIRC.
Bibliographic data for series maintained by Fabio Schiavinatto ().