Estimating Input Cost Shares for Agriculture Using a Multinomial Logit Framework
Michael LeBlanc
Journal of Agricultural Economics Research, 1982, vol. 34, issue 4, 9
Abstract:
Many econometric analyses include dependent variables constrained to the interval between zero and 1 Under such conditions, simple regression procedures break down Several alternative stochastic models which avoid this problem can be defined depending on the assumed error structure Two alternative forms of the logit model are treated here The multivariate logit approach assumes that the share specification is an accurate representation of the underlying input demand structure The multinomial logit approach treats the dependent variable as a probability with a multinomial density
Keywords: Production Economics; Research Methods/Statistical Methods (search for similar items in EconPapers)
Date: 1982
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/148973/files/5LeBlanc_34_4.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:uersja:148973
DOI: 10.22004/ag.econ.148973
Access Statistics for this article
More articles in Journal of Agricultural Economics Research from United States Department of Agriculture, Economic Research Service Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().