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Exploring Meat And Poultry Recall Data For Policy Lessons

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Author Info

  • Teratanavat, Ratapol P.
  • Hooker, Neal H.
  • Salin, Victoria

Abstract

Four measures are introduced to evaluate the likelihood of meat and poultry recalls and how firms and FSIS manage such events. These measures include the proportion of product retrieved (recovery rate), time to complete a case, the ratio of recovery rate and completion, and the hazard rate. This research aims to advance our knowledge and understanding of food safety programs by presenting statistical indicators which benchmark the food system. The results from OLS, Negative Binomial, and Cox regression models suggest that limited conclusions can be reached in terms of overall performance and factors that explain the timeliness of recalls. Evidence suggests that smaller plants perform as well as large plants in their recall actions. Also, when the firm discovers the problem recalls are more timely and therefore more effective.

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Bibliographic Info

Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2003 Annual meeting, July 27-30, Montreal, Canada with number 22142.

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Date of creation: 2003
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Handle: RePEc:ags:aaea03:22142

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Keywords: Agricultural and Food Policy;

References

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  1. Mary K. Olson, 1997. "Firm Characteristics and the Speed of FDA Approval," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 6(1), pages 377-401, 06.
  2. Michael A. Mazzocco, 1996. "HACCP as a Business Management Tool," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 770-774.
  3. Rimal, Arbindra & Fletcher, Stanley M. & McWatters, Kay H., 1999. "Do Handling And Cooking Practices Determine The Selection Of Irradiated Beef?," Journal of Food Distribution Research, Food Distribution Research Society, vol. 30(3), November.
  4. Lusk, Jayson L. & Schroeder, Ted C., 2000. "Effects Of Meat Recalls On Futures Market Prices," 2000 Conference, April 17-18 2000, Chicago, Illinois 18925, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  5. John M. Antle, 1996. "Efficient Food Safety Regulation in the Food Manufacturing Sector," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(5), pages 1242-1247.
  6. Salin, Victoria & Hooker, Neal H. & Teratanavat, Ratapol P., 2002. "Survival Analysis Of U.S. Meat And Poultry Recalls, 1994-2001," Faculty Paper Series 24016, Texas A&M University, Department of Agricultural Economics.
  7. Michael R. Thomsen & Andrew M. McKenzie, 2001. "Market Incentives for Safe Foods: An Examination of Shareholder Losses from Meat and Poultry Recalls," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 526-538.
  8. Gourieroux Christian & Monfort Alain & Trognon A, 1982. "Pseudo maximum lilelihood methods : applications to poisson models," CEPREMAP Working Papers (Couverture Orange) 8203, CEPREMAP.
  9. Zijun Wang & Victoria Salin & Neal Hooker & David Leatham, 2002. "Stock market reaction to food recalls: a GARCH application," Applied Economics Letters, Taylor & Francis Journals, vol. 9(15), pages 979-987.
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