Spatial disaggregation of agricultural production data using maximum entropy

Richard Howitt and Arnaud Reynaud

European Review of Agricultural Economics, 2003, vol. 30, issue 3, 359-387

Abstract: We develop a dynamic data-consistent method to estimate agricultural land use choices at a disaggregate (district) level, using more aggregate (regional-level) data. The disaggregation procedure consists of two steps. First, we estimate a dynamic model of land use at the regional level, then we disaggregate outcomes of the aggregate model using maximum entropy (ME). The ME disaggregation procedure is applied to a sample of California data including six districts and eight crops. The disaggregation procedure results in the recovery of district-level cropping areas with an average prediction error of 16.2 per cent. Copyright 2003, Oxford University Press.

Date: 2003
References: Add references at CitEc
Citations: View citations in EconPapers (17)

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:3:p:359-387

Ordering information: This journal article can be ordered from
https://academic.oup.com/journals

Access Statistics for this article

European Review of Agricultural Economics is currently edited by Timothy Richards, Salvatore Di Falco, Céline Nauges and Vincenzina Caputo

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