The Translog Production Function and Variable Returns to Scale
H Youn Kim
The Review of Economics and Statistics, 1992, vol. 74, issue 3, 546-52
Abstract:
This paper examines existing methods of estimating the translog production function and provides a general framework that allows for variable returns to scale. The model is based on the inverse input demand function and embeds a nonhomothetic production technology. Previous estimation methods are valid only for homogeneous technologies with fixed scale effects. Estimation results for U.S. manufacturing show that neither homotheticity and homogeneity nor constant returns to scale is a proper characterization of the underlying structure of production, thereby vindicating the empirical relevance of the inverse demand framework that entails a nonhomothetic technology. Copyright 1992 by MIT Press.
Date: 1992
References: Add references at CitEc
Citations: View citations in EconPapers (92)
Downloads: (external link)
http://links.jstor.org/sici?sici=0034-6535%2819920 ... 0.CO%3B2-E&origin=bc full text (application/pdf)
Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
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:tpr:restat:v:74:y:1992:i:3:p:546-52
Ordering information: This journal article can be ordered from
https://mitpressjour ... rnal/?issn=0034-6535
Access Statistics for this article
The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu
More articles in The Review of Economics and Statistics from MIT Press
Bibliographic data for series maintained by The MIT Press ().