Abstract

This article estimates behavioural parameters of the quadratic regional supply models in the modelling system CAPRI. Using the time-series data in the CAPRI database, we directly estimate the optimality conditions using a Bayesian highest posterior density estimator. After discarding regions with insufficient data, parameters for up to 23 crop production activities with related inputs, outputs, prices and behavioural functions are estimated for 219 regions in EU-27. The results are systematically compared with the outcomes of other studies. For crop aggregates (e.g. cereals, oilseeds, etc.) at the national level, the estimated own price elasticities of supply are found to be in a plausible range. On a regional level and for individual crops, the picture is much more diverse. As far as we know, there is no other study of similar regional and product coverage.

Keywords

Bayesian econometrics; CAPRI model; errors-in-variables; EU agricultural sector; mathematical programming; C60; Q10; C11

Published in

Journal of Agricultural Economics
2011, Volume: 62, number: 1, pages: 137-152
Publisher: WILEY-BLACKWELL

SLU Authors

• Jansson, Torbjörn

  • Department of Economics, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Economics and Business
Social Sciences


Publication Identifiers

DOI: https://doi.org/10.1111/j.1477-9552.2010.00270.x

Permanent link to this page (URI)

https://res.slu.se/id/publ/57015