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On Estimating the Impact of the Deepwater Horizon Tragedy on the U.S. Frozen Seafood Market: A Conditional Almost Ideal Demand System Approach

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  • Steven S. Vickner

    (Morrison School of Agribusiness, Arizona State University, Mesa, AZ 85212, USA)

Abstract

The present study addresses the impact of the Deepwater Horizon event on the U.S. frozen fish and shellfish markets. Given a demand system approach, trends in consumption were carefully measured and tested while controlling for own price, cross price, and conditional expenditure effects as well as autocorrelation. Consumption trends beginning the first week of the data set were unaltered by the event. Moreover, the effect of the event was not statistically significant in either demand system. The aggregate national data for the grocery store distribution channel, which includes mostly imported seafood and some domestic aquaculture-sourced seafood, likely contributes to these findings of lack of avoidance behavior.

Suggested Citation

  • Steven S. Vickner, 2020. "On Estimating the Impact of the Deepwater Horizon Tragedy on the U.S. Frozen Seafood Market: A Conditional Almost Ideal Demand System Approach," Sustainability, MDPI, vol. 12(10), pages 1-10, May.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:10:p:4191-:d:360676
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    References listed on IDEAS

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    1. Steven S. Vickner, 2016. "Seafood Safety and Marketing: The Case of the Deepwater Horizon Tragedy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(2), pages 643-647.
    2. Teisl, Mario F. & Roe, Brian & Hicks, Robert L., 2002. "Can Eco-Labels Tune a Market? Evidence from Dolphin-Safe Labeling," Journal of Environmental Economics and Management, Elsevier, vol. 43(3), pages 339-359, May.
    3. Alston, Julian M & Foster, Kenneth A & Green, Richard D, 1994. "Estimating Elasticities with the Linear Approximate Almost Ideal Demand System: Some Monte Carlo Results," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 351-356, May.
    4. Eales, James S. & Roheim, Cathy A., 1999. "Testing Separability Of Japanese Demand For Meat And Fish Within Differential Demand Systems," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(1), pages 1-13, July.
    5. 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.
    6. Giancarlo Moschini, 1995. "Units of Measurement and the Stone Index in Demand System Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 63-68.
    7. Mark E. Smith & Eileen O. van Ravenswaay & Stanley R. Thompson, 1988. "Sales Loss Determination in Food Contamination Incidents: An Application to Milk Bans in Hawaii," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 513-520.
    8. Pollak, Robert A & Wales, Terence J, 1981. "Demographic Variables in Demand Analysis," Econometrica, Econometric Society, vol. 49(6), pages 1533-1551, November.
    9. Arthur Lewbel, 1985. "A Unified Approach to Incorporating Demographic or Other Effects into Demand Systems," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 52(1), pages 1-18.
    10. S.S. Vickner, 2004. "Media Coverage of Biotech Foods and Influence on Consumer Choice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1238-1246.
    11. Mario F. Teisl & Nancy E. Bockstael & Alan Levy, 2001. "Measuring the Welfare Effects of Nutrition Information," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 133-149.
    12. Deborah J. Brown & Lee F. Schrader, 1990. "Cholesterol Information and Shell Egg Consumption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 548-555.
    13. David G. Swartz & Ivar E. Strand, Jr., 1981. "Avoidance Costs Associated with Imperfect Information: The Case of Kepone," Land Economics, University of Wisconsin Press, vol. 57(2), pages 139-150.
    14. Foster, William & Just, Richard E., 1989. "Measuring welfare effects of product contamination with consumer uncertainty," Journal of Environmental Economics and Management, Elsevier, vol. 17(3), pages 266-283, November.
    15. Berndt, Ernst R & Savin, N Eugene, 1975. "Estimation and Hypothesis Testing in Singular Equation Systems with Autoregressive Disturbances," Econometrica, Econometric Society, vol. 43(5-6), pages 937-957, Sept.-Nov.
    16. Alston, Julian M. & Chalfant, James A. & Piggott, Nicholas E., 2001. "Incorporating demand shifters in the Almost Ideal demand system," Economics Letters, Elsevier, vol. 70(1), pages 73-78, January.
    17. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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