A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System
The paper conducts an empirical investigation of the US meat demand system using quarterly data on per capita meat consumption and prices. SUR maximum likelihood is used to estimate a static and dynamic (error correction) linear almost ideal demand systems. Results compare static and dynamic model elasticities.
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- Chalfant, James A, 1987. "A Globally Flexible, Almost Ideal Demand System," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(2), pages 233-42, April.
- Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
- Balcombe, K. G. & Davis, J. R., 1996.
"An application of cointegration theory in the estimation of the almost ideal demand system for food consumption in Bulgaria,"
Blackwell, vol. 15(1), pages 47-60, September.
- Balcombe, K.G. & Davis, J.R., 1996. "An application of cointegration theory in the estimation of the Almost Ideal Demand system for food consumption in Bulgaria," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 15(1), September.
- Pashardes, Panos, 1993. "Bias in Estimating the Almost Ideal Demand System with the Stone Index Approximation," Economic Journal, Royal Economic Society, vol. 103(419), pages 908-15, July.
- James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
- Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990.
"Seasonal integration and cointegration,"
Journal of Econometrics,
Elsevier, vol. 44(1-2), pages 215-238.
- Hylleberg, S. & Engle, R.F. & Granger, C.W.J. & Yoo, B.S., 1988. "Seasonal, Integration And Cointegration," Papers 6-88-2, Pennsylvania State - Department of Economics.
- Hyllerberg, S. & Engle, R.F. & Granger, C.W.J. & Yoo, B.S., 1988. "Seasonal Integration And Cointegration," Papers 0-88-2, Pennsylvania State - Department of Economics.
- Ng, S., 1995.
"Testing for Homogeneity in Demand Systems when the Regressors Are Non-Stationary,"
Cahiers de recherche
9516, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Ng, Serena, 1995. "Testing for Homogeneity in Demand Systems When the Regressors Are Nonstationary," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 147-63, April-Jun.
- Ng, S., 1995. "Testing for Homogeneity in Demand Systems when the Regressors Are Non-Stationary," Cahiers de recherche 9516, Universite de Montreal, Departement de sciences economiques.
- Anderson, Gordon & Blundell, Richard, 1983. "Testing Restrictions in a Flexible Dynamic Demand System: An Application to Consumers' Expenditure in Canada," Review of Economic Studies, Wiley Blackwell, vol. 50(3), pages 397-410, July.
- Nicholas E. Piggott & Thomas L. Marsh, 2004. "Does Food Safety Information Impact U.S. Meat Demand?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 154-174.
- Duffy, Martyn, 2003. "Advertising and food, drink and tobacco consumption in the United Kingdom: a dynamic demand system," Agricultural Economics, Blackwell, vol. 28(1), pages 51-70, January.
- Keuzenkamp, Hugo A. & Barten, Anton P., 1995. "Rejection without falsification on the history of testing the homogeneity condition in the theory of consumer demand," Journal of Econometrics, Elsevier, vol. 67(1), pages 103-127, May.
- Nouhoun Coulibaly & B. Wade Brorsen, 1999. "Explaining the differences between two previous meat generic advertising studies," Agribusiness, John Wiley & Sons, Ltd., vol. 15(4), pages 501-515.
- Karagiannis, G. & Mergos, G. J., 2002. "Estimating theoretically consistent demand systems using cointegration techniques with application to Greek food data," Economics Letters, Elsevier, vol. 74(2), pages 137-143, January.
- Moschini, GianCarlo & Meilke, Karl D., 1989. "Modeling the Pattern of Structural Change in U.S. Meat Demand," Staff General Research Papers 11266, Iowa State University, Department of Economics.
- Banerjee, Anindya, et al, 1986. "Exploring Equilibrium Relationships in Econometrics through Static Models: Some Monte Carlo Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 253-77, August.
- Moschini, GianCarlo, 1995. "Units of Measurement and the 'Stone Index' In Demand System Estimation," Staff General Research Papers 5058, Iowa State University, Department of Economics.
- Karagiannis, G. & Katranidis, S. & Velentzas, K., 2000. "An error correction almost ideal demand system for meat in Greece," Agricultural Economics, Blackwell, vol. 22(1), pages 29-35, January.
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