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A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System

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Author Info
Sulgham, Anil K.
Zapata, Hector O.
Abstract

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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File URL: http://purl.umn.edu/35441
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Publisher Info
Paper provided by Southern Agricultural Economics Association in its series 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida with number 35441.

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Date of creation: 2006
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Handle: RePEc:ags:saeaso:35441

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Related research
Keywords: Demand and Price Analysis; Food Consumption/Nutrition/Food Safety;

References listed on IDEAS
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  1. 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. [Downloadable!] (restricted)
  2. Nicholas E. Piggott & Thomas L. Marsh, 2004. "Does Food Safety Information Impact U.S. Meat Demand?," American Journal of Agricultural Economics, American Agricultural Economics Association, vol. 86(1), pages 154-174, 02. [Downloadable!] (restricted)
  3. 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. [Downloadable!] (restricted)
    Other versions:
  4. Moschini, GianCarlo, 2002. "Units of Measurement and the 'Stone Index' in Demand System Estimation," Staff General Research Papers 5058, Iowa State University, Department of Economics.
  5. 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.
  6. Moschini, Giancarlo & Meilke, K.D., 2004. "Modeling the Pattern of Structural Change in U.S. Meat Demand," Staff General Research Papers 11266, Iowa State University, Department of Economics.
  7. 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.
    Other versions:
  8. 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.
  9. 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. [Downloadable!] (restricted)
  10. 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. [Downloadable!] (restricted)
  11. 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, Blackwell, vol. 15(1), pages 47-60, September. [Downloadable!] (restricted)
  12. 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. [Downloadable!] (restricted)
  13. 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. [Downloadable!] (restricted)
  14. 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. [Downloadable!] (restricted)
  15. Anderson, Gordon & Blundell, Richard, 1983. "Testing Restrictions in a Flexible Dynamic Demand System: An Application to Consumers' Expenditure in Canada," Review of Economic Studies, Blackwell Publishing, vol. 50(3), pages 397-410, July. [Downloadable!] (restricted)
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