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Panel Data Estimation Methods on Supply and Demand Elasticities: The Case of Cotton in Greece AgEcon
Kotakou, Christina A..
This article examines the effects of the application of panel data estimation methods on a system of equations with unbalanced panel data. We apply pooled, random-effects, and fixed-effects estimation in three data sets: small, medium, and large farms to examine the relationship between farm size and the elasticity of cotton supply with respect to cotton price. Our results indicate that the adoption of various estimation methods entails different estimated parameters both in terms of their absolute value and in terms of their statistical significance. Additionally, the elasticity of cotton supply with respect to price varies according to farm size.
Tipo: Journal Article Palavras-chave: Farm size; Panel data; Supply elasticity; Systems of equations; Demand and Price Analysis; C33; D21; Q18.
Ano: 2011 URL: http://purl.umn.edu/100637
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FARM-LEVEL DATA MODEL FOR AGRICULTURAL POLICY ANALYSIS: A TWO-WAY ECM APPROACH AgEcon
Sckokai, Paolo; Moro, Daniele; Platoni, Silvia.
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 re-estimated 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...
Tipo: Conference Paper or Presentation Palavras-chave: Agricultural policy; Panel data; Systems of equations; Agricultural and Food Policy; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/6693
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Panel Data Estimation Techniques for Farm-level Data Model AgEcon
Platoni, Silvia; Sckokai, Paolo; Moro, Daniele.
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...
Tipo: Conference Paper or Presentation Palavras-chave: Agricultural policy; Panel data; Systems of equations; Agricultural and Food Policy.
Ano: 2008 URL: http://purl.umn.edu/44268
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