Another Look at the American Electrical Utility Data

Christian Ritter and Leopold Simar
Additional contact information
Christian Ritter: CORE and Institut de Statistique, Université catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium

No 1994007, LIDAM Discussion Papers CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)

Abstract: The American electric utility data, which are frequently analyzed in the context of frontier models, can be explained by a linear model without inefficiencies. the observed maximum likelihood for this linear model is very mildly smaller than the maximum likelihood for more flexible stochastic frontier models and the log-likelihood-ratio statistic for an approxImate [chi. exp2] test of the simple least squares model against normal exponential and normal-gamma stochastic frontier models is far from significant.

Keywords: Exploratory data analysis; ordinary least squares; normal-gamma composed errors; maximum likelihood (search for similar items in EconPapers)
Date: 1994-01-01
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://sites.uclouvain.be/core/publications/coredp/coredp1994.html (text/html)

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:cor:louvco:1994007

Access Statistics for this paper

More papers in LIDAM Discussion Papers CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) Voie du Roman Pays 34, 1348 Louvain-la-Neuve (Belgium). Contact information at EDIRC.
Bibliographic data for series maintained by Alain GILLIS ().