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Estimating U.S. Demand for Meat With A Flexible Functional Form

Published online by Cambridge University Press:  28 April 2015

Chung-Liang Huang
Chung-Liang Huang*
Affiliation:
Department of Agricultural Economics, University of Georgia, Georgia Experiment Station. Helpful comments by Joseph Havlicek, Jr., are gratefully acknowledged
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Extract

One of the fundamental problems in applied econometric work is the choice of functional form. Economic theory is insufficient in suggesting the functional forms appropriate to the specification of economic relationships. Conventionally, the functional form of the regression equation is assumed a priori and parameter estimates are obtained according to certain desirable criteria, such as least squares. A wide variety of functional forms have been investigated empirically with respect to the demand function for food, yet no single functional form has been generally accepted among economists [2, 6, 7].

Type
Research Article
Information
Journal of Agricultural and Applied Economics , Volume 11 , Issue 2 , December 1979 , pp. 17 - 20
Copyright
Copyright © Southern Agricultural Economics Association 1979

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References

[1]Box, G. E. P. and Cox, D. R.. “Analysis of Transformations,” Journal of the Royal Statistical Society, Series B, Volume 26, 1964, pp. 211–243.Google Scholar
[2]Brown, A. and Deaton, A.. “Surveys in Applied Economics, Models of Consumer Behavior,” Economic Journal, Volume 82, 1972, pp. 1145–1236.CrossRefGoogle Scholar
[3]Chang, H. S. “Functional Forms and the Demand for Meat in the United States,” The Review of Economics and Statistics, Volume 59, 1977, pp. 355–359.CrossRefGoogle Scholar
[4]Granger, C. W. J. and Newbold, P.. “The Use of R2 to Determine the Appropriate Transformation of Regression Variables,” Journal of Econometrics, Volume 4, 1976, pp. 205–210.CrossRefGoogle Scholar
[5]Huang, C. L., Moon, L. C., and Chang, H. S.. “A Computer Program Using the Box-Cox Transformation Technique for the Specification of Functional Form,” The American Statistician, Volume 32, 1978, p. 144.CrossRefGoogle Scholar
[6]Leser, C. E. V. “Forms of Engel Functions,” Econometrica, Volume 31, 1973, pp. 694–703.CrossRefGoogle Scholar
[7]Prais, S. J. and Houthakker, H. S.. The Analysis of Family Budgets. Cambridge: Cambridge University Press, 1955.Google Scholar
[8]Tomek, W. G. “Changes in Price Elasticities of Demand for Beef, Pork and Broilers,” Journal of Farm Economics, Volume 47, 1965, pp. 793–802.CrossRefGoogle Scholar
[9]Zarembka, P. “Transformation of Variables in Econometrics,” in Zarembka, P., ed., Frontiers of Econometrics. New York: Academic Press, 1974.Google Scholar