A Nonparametric Analysis of Agricultural Technology
Jean-Paul Chavas () and
Thomas L. Cox
American Journal of Agricultural Economics, 1988, vol. 70, issue 2, 303-310
Abstract:
U.S. agricultural technology and technical change are analyzed nonparametrically under cost minimization and profit maximization. Based on annual data for 1948–83, various separability hypotheses concerning the aggregate production function for U.S. agriculture are investigated. The proposed nonparametric approach also provides some insights into the nature of technical change.
Date: 1988
References: Add references at CitEc
Citations: View citations in EconPapers (50)
Downloads: (external link)
http://hdl.handle.net/10.2307/1242070 (application/pdf)
Access to full text is restricted to subscribers.
Related works:
Working Paper: A Non-Parametric Analysis of Agricultural Technology (1987) 
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:oup:ajagec:v:70:y:1988:i:2:p:303-310.
Access Statistics for this article
American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu
More articles in American Journal of Agricultural Economics from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().