EconPapers    
Economics at your fingertips  
 

Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy

Thomas Heckelei and Hendrik Wolff ()

European Review of Agricultural Economics, 2003, vol. 30, issue 1, 27-50

Abstract: The paper introduces a general methodological approach for the estimation of constrained optimisation models in agricultural supply analysis. It is based on optimality conditions of the desired programming model and shows a conceptual advantage compared with Positive Mathematical Programming in the context of well-posed estimation problems. Moreover, it closes the empirical and methodological gap between programming models and duality-based models with explicit allocation of fixed factors. Monte Carlo simulations are performed with a maximum entropy estimator to evaluate the functionality of the approach as well as the impact of empirically relevant prior information with small samples. Copyright 2003, Oxford University Press.

Date: 2003
References: Add references at CitEc
Citations: View citations in EconPapers (89) Track citations by RSS feed

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:erevae:v:30:y:2003:i:1:p:27-50

Ordering information: This journal article can be ordered from
http://www.oup.co.uk/journals

Access Statistics for this article

European Review of Agricultural Economics is currently edited by Christoph Weiss, Thomas Heckelei and Paolo Sckokai

More articles in European Review of Agricultural Economics from Foundation for the European Review of Agricultural Economics Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK. Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().

 
Page updated 2019-08-20
Handle: RePEc:oup:erevae:v:30:y:2003:i:1:p:27-50