Estimating the Characteristics of Polluting Technologies
Christopher O'Donnell
No 10413, 2007 Conference (51st), February 13-16, 2007, Queenstown, New Zealand from Australian Agricultural and Resource Economics Society
Abstract:
Polluting technologies can be represented using output distance functions. A common approach to estimating such functions is to factor out one of the outputs and estimate the resulting equation using well-known stochastic frontier estimation methods, including maximum likelihood. A problem with this approach is that the outputs that are not factored out may be correlated with the error term, leading to biased and inconsistent estimates. This paper addresses the problem in a Bayesian framework. The methodology is applied to data on U.S. electric utilities. Results include estimates of technical inefficiencies and the shadow price of a pollutant.
Keywords: Environmental; Economics; and; Policy (search for similar items in EconPapers)
Pages: 13
Date: 2007
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://ageconsearch.umn.edu/record/10413/files/cp07od01.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:ags:aare07:10413
DOI: 10.22004/ag.econ.10413
Access Statistics for this paper
More papers in 2007 Conference (51st), February 13-16, 2007, Queenstown, New Zealand from Australian Agricultural and Resource Economics Society Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().