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Please use this identifier to cite or link to this item: http://purl.umn.edu/44268

Title: Panel Data Estimation Techniques for Farm-level Data Model
Authors: Platoni, Silvia
Sckokai, Paolo
Moro, Daniele
Keywords: Agricultural policy
Panel data
Systems of equations
Issue Date: 2008
Abstract: Econometric models wishing to estimate relevant parameters for agricultural policy analysis are increasingly relying on unbalanced panels of farm-level data. Since in the agricultural economics literature such models have often been estimated through simplified approaches, in this paper we try to verify whether the adoption of more sophisticated panel data techniques may impact the estimation results. For this reason, the policy model by Moro and Sckokai (1999) has been reestimated using techniques recently developed in the econometric literature. The preliminary results show a strong impact on the estimations. This seems to suggest that the adoption of proper panel-data techniques is likely to be very important in order to obtain reliable estimates of some key policy parameters.
URI: http://purl.umn.edu/44268
Institution/Association: European Association of Agricultural Economists>2008 International Congress, August 26-29, 2008, Ghent, Belgium
Total Pages: 13
Collections:2008 International Congress, August 26-29, 2008, Ghent, Belgium

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