Recovering Output-Specific Inputs from Aggregate Input Data: A Generalized Cross-Entropy Approach

Sergio Lence and Douglas J. Miller

American Journal of Agricultural Economics, 1998, vol. 80, issue 4, 852-867

Abstract: For multiproduct firms, data on aggregate input usage are typically available but data on activity-specific inputs are not. The present study proposes a generalized cross-entropy approach to estimate activity-specific input allocations that are consistent with the aggregate information. The proposed method does not require behavioral assumptions (e.g., profit maximization) but does accommodate behavioral restrictions as well as nonsample information about the plausible factor shares across enterprises. Monte Carlo experiments using simulated data for multifactor-multiproduct firms are used to evaluate the performance of the proposed method. Copyright 1998, Oxford University Press.

Date: 1998
References: Add references at CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
http://hdl.handle.net/10.2307/1244069 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Recovering Output-Specific Inputs from Aggregate Input Data: A Generalized Cross Entropy Approach (1998)
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:80:y:1998:i:4:p:852-867

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 ().