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Estimating the Characteristics of Polluting Technologies

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  • O'Donnell, Christopher J.

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.

Suggested Citation

  • O'Donnell, Christopher J., 2007. "Estimating the Characteristics of Polluting Technologies," 2007 Conference (51st), February 13-16, 2007, Queenstown, New Zealand 10413, Australian Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:aare07:10413
    DOI: 10.22004/ag.econ.10413
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    File URL: https://ageconsearch.umn.edu/record/10413/files/cp07od01.pdf
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    Cited by:

    1. C. O’Donnell, 2014. "Econometric estimation of distance functions and associated measures of productivity and efficiency change," Journal of Productivity Analysis, Springer, vol. 41(2), pages 187-200, April.

    More about this item

    Keywords

    Environmental Economics and Policy;

    Statistics

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