Simple Nonparametric Tests of Technological Change: Theory and Application to U.S. Agriculture

Ziv Bar-Shira () and Israel Finkelshtain ()

American Journal of Agricultural Economics, 1999, vol. 81, issue 4, 850-864

Abstract: Several nonparametric tests of technological change are proposed conditional on alternative maintained behavioral assumptions. The tests are simple as they require verification of axioms via binary comparisons that are analogous to those of the revealed preference theory. Our model allows a broad interpretation of technological changes, yet trivial rationalization of the data with either profit-maximization or cost-minimization behavior is excluded. The tests are applied to study the U.S. aggregate agricultural data, supporting the hypotheses of rankable and neutral Technological Variations. Copyright 1999, Oxford University Press.

Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://hdl.handle.net/10.2307/1244329 (application/pdf)
Access to full text is restricted to subscribers.

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:oup:ajagec:v:81:y:1999:i:4:p:850-864

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 ().