Panel Data Estimation Methods on Supply and Demand Elasticities: The Case of Cotton in Greece
AbstractThis 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.
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Bibliographic InfoArticle provided by Southern Agricultural Economics Association in its journal Journal of Agricultural and Applied Economics.
Volume (Year): 43 (2011)
Issue (Month): 01 (February)
farm size; panel data; supply elasticity; systems of equations; Demand and Price Analysis; C33; D21; Q18;
Find related papers by JEL classification:
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
- Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Teresa Serra & David Zilberman & Barry K. Goodwin & Keijo Hyvonen, 2005. "Replacement of Agricultural Price Supports by Area Payments in the European Union and the Effects on Pesticide Use," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 870-884.
- Biorn, Erik, 2004. "Regression systems for unbalanced panel data: a stepwise maximum likelihood procedure," Journal of Econometrics, Elsevier, vol. 122(2), pages 281-291, October.
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