AgEcon Search

AgEcon Search >
       Agricultural Economics Review >
          Volume 13, Issue 2, June 2012 >

Please use this identifier to cite or link to this item: http://purl.umn.edu/253511

Title: Estimating input allocation from heterogeneous data sources: A comparison of alternative estimation approaches
Authors: Louhichi, Kamel
Jacquet, Florence
Butault, Jean Pierre
Issue Date: 2102
Abstract: This paper proposes the use of the Generalized Maximum Entropy (GME) method to estimate input allocation in multi-crop systems using heterogeneous data sources (farm accountancy data and cropping practices survey data). The aim is to explore the role of well-defined a priori information in improving the accuracy of GME estimation. The performance of the GME method is compared afterward to a Bayesian approach— Highest Posterior Density (HPD)—to assess their accuracy when reliable non-sample (prior) information is used and investigate their usefulness for reconciling heterogeneous data sources. Both approaches are applied to a given set of farm accounting data which reports information on input allocation between alternative input uses. The estimation results show that the use of well-defined prior information from external data source improves GME estimates even though this performance is not always significant. It also appears that the Bayesian (HPD) approach could be a good alternative to the GME estimator. HPD provides results that are close to the GME method with the advantage of a straightforward and transparent implementation of the a priori information.
URI: http://purl.umn.edu/253511
Institution/Association: Agricultural Economics Review>Volume 13, Issue 2, June 2012
Total Pages: 20
From Page: 83
To Page: 102
Collections:Volume 13, Issue 2, June 2012

Files in This Item:

File Description SizeFormat
13_2_6.pdf297KbPDFView/Open
Recommend this item

All items in AgEcon Search are protected by copyright.

 

 

Brought to you by the University of Minnesota Department of Applied Economics and the University of Minnesota Libraries with cooperation from the Agricultural and Applied Economics Association.

All papers are in Acrobat (.pdf) format. Get Adobe Reader

Contact Us

Powered by: