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Using Almost Ideal Demand System To Analyze Demand For Shrimp In Us Food Market

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  • Zhou, Xia “Vivian”

Abstract

This paper analyzes the demand for shrimp along with beef, pork, and chicken in the US food market, which contributes much to predicting supply strategies, consumer preferences and policy making. It focuses on the own and cross elasticity relationship between the expenditure share, price, and expenditure changes. An Almost Ideal Demand System (AIDs) model and two alternative specifications (both nonlinear AIDs and LA-AIDs) are used to estimate a system of expenditure share equations for ocean shrimp, penaeid shrimp, beef, pork, and chicken. Empirical results from nonlinear AIDs model is compared with those from LA-AIDs model. There are quite a few inconsistency between nonlinear and LA results. Results from nonlinear are more expected and more complied with microeconomic theory than those from LA. Also, results indicated that some insignificant slope coefficients and inappropriate signs of them did not comply with microeconomic theory. This could be caused by heteroscedasticity, autocorrelation, a limitation in the data used, or shrimp is a quite different commodity.

Suggested Citation

  • Zhou, Xia “Vivian”, 2015. "Using Almost Ideal Demand System To Analyze Demand For Shrimp In Us Food Market," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 3(3), pages 1-16, July.
    • Handle: RePEc:ags:ijfaec:208848
    DOI: 10.22004/ag.econ.208848
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    References listed on IDEAS

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    1. Adams, Charles M. & Prochaska, Fred J. & Spreen, Thomas H., 1987. "Price Determination in the U.S. Shrimp Market," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 19(2), pages 103-111, December.
    2. Douglas Fisher & Adrian R. Fleissig & Apostolos Serletis, 2006. "An Empirical Comparison of Flexible Demand System Functional Forms," World Scientific Book Chapters, in: Money And The Economy, chapter 13, pages 247-277, World Scientific Publishing Co. Pte. Ltd..
    3. Frank Asche & Cathy R. Wessells, 1997. "On Price Indices in the Almost Ideal Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1182-1185.
    4. Dahlgran, Roger A., 1987. "Complete Flexibility Systems And The Stationarity Of U.S. Meat Demands," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 12(2), pages 1-12, December.
    5. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    6. Huang, Kuo S. & Lin, Biing-Hwan, 2000. "Estimation of Food Demand Nutrient Elasticities from household Survey Data," Technical Bulletins 184370, United States Department of Agriculture, Economic Research Service.
    7. Richard Green & Julian M. Alston, 1991. "Elasticities in AIDS Models: A Clarification and Extension," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 874-875.
    8. Huang, Kuo S. & Lin, Biing-Hwan, 2000. "Estimation Of Food Demand And Nutrient Elasticities From Household Survey Data," Technical Bulletins 33579, United States Department of Agriculture, Economic Research Service.
    9. Heien, Dale & Pompelli, Greg, 1988. "The Demand For Beef Products: Cross-Section Estimation Of Demographic And Economic Effects," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(1), pages 1-8, July.
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    3. Jeon, Younghyeon & Hoang, Hoa K. & Thompson, Wyatt & Abler, David & Miller, J. Isaac, 2022. "Revealing the fundamental parameters of a food demand system using estimated elasticities," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322182, Agricultural and Applied Economics Association.

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