Distinguishing Errors in Measurement from Errors in Optimization
Rulon D. Pope and
Richard Just
American Journal of Agricultural Economics, 2003, vol. 85, issue 2, 348-358
Abstract:
Typical econometric production practices under duality ignore the source of disturbances. We show that, depending on the source, a different approach to estimation is required. The typical approach applies under errors in factor input measurement rather than errors in optimization. An approach to the identification of disturbance sources is suggested. We find credible evidence in U.S. agriculture of errors in optimization compared to errors of measurement, and thus reject the typical specification. Copyright 2003, Oxford University Press.
Date: 2003
References: Add references at CitEc
Citations: View citations in EconPapers (32)
Downloads: (external link)
http://hdl.handle.net/10.1111/1467-8276.00124 (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:85:y:2003:i:2:p:348-358
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 ().