Modelling dairy supply for Hungary and Poland by generalised maximum entropy using prior information
Axel Tonini and
European Review of Agricultural Economics, 2008, vol. 35, issue 2, 219-246
This paper presents an innovative quantitative approach to modelling milk and beef supply, which is then applied to Hungary and Poland. Utilising generalised maximum entropy estimation, we provide an empirical basis for treating ill-posed and -conditioned problems by reconciling sample and non-sample information. Adjustments in quasi-fixed factors are explicitly taken into account in order to capture dynamics. Inelastic milk supply responses were found both for Hungary and for Poland. Milk and beef outputs behave as complements in the medium run, but not in the short run for Poland. The empirical estimates found generally support the assumed parameters used in calibrated models. Oxford University Press and Foundation for the European Review of Agricultural Economics 2008; all rights reserved. For permissions, please email email@example.com, Oxford University Press.
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Persistent link: https://EconPapers.repec.org/RePEc:oup:erevae:v:35:y:2008:i:2:p:219-246
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European Review of Agricultural Economics is currently edited by Timothy Richards, Salvatore Di Falco, Carl-Johan Lagerkvist and Celine Nauges
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