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Forecasting Meat Prices Using Consumer Expectations from the Food Demand Survey (FooDS)

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  • Ates, Aaron M.
  • Lusk, Jayson L.
  • Brorsen, B. Wade

Abstract

We determine whether data from the Food Demand Survey are leading indicators of retail meat prices included in the Consumer Price Index. Accurate price forecasts allow retailers to formulate appropriate marketing strategies and justify strategic procurement decisions. Accurate price forecasts should also reduce asymmetric price information. This study relies on consumers’ selfreported expectations about whether prices will increase or decrease in the coming weeks. Results from maximum likelihood stepwise autoregressions indicate that survey-based price expectations are leading indicators for chicken wing prices and contain the same information as BLS ground beef, pork chop, and deli ham prices. Future researchers can use this information in combination with theories from the demand, price analysis, and machine learning literatures to construct more accurate price forecasting models.

Suggested Citation

  • Ates, Aaron M. & Lusk, Jayson L. & Brorsen, B. Wade, 2019. "Forecasting Meat Prices Using Consumer Expectations from the Food Demand Survey (FooDS)," Journal of Food Distribution Research, Food Distribution Research Society, vol. 50(1), March.
    • Handle: RePEc:ags:jlofdr:292180
    DOI: 10.22004/ag.econ.292180
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    1. Forsythe, Robert & Forrest Nelson & George R. Neumann & Jack Wright, 1992. "Anatomy of an Experimental Political Stock Market," American Economic Review, American Economic Association, vol. 82(5), pages 1142-1161, December.
    2. Soren T. Anderson & Ryan Kellogg & James M. Sallee & Richard T. Curtin, 2011. "Forecasting Gasoline Prices Using Consumer Surveys," American Economic Review, American Economic Association, vol. 101(3), pages 110-114, May.
    3. Scott H. Irwin & Mary E. Gerlow & Te‐Ru Liu, 1994. "The forecasting performance of livestock futures prices: A comparison to USDA expert predictions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 14(7), pages 861-875, October.
    4. repec:bla:ecorec:v:52:y:1976:i:138:p:199-212 is not listed on IDEAS
    5. Manfredo, Mark R. & Sanders, Dwight R., 2004. "The Value of Public Price Forecasts: Additional Evidence in the Live Hog Market," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 22(2), pages 1-13.
    6. Zakrzewicz, Christopher J. & Brorsen, B. Wade & Briggeman, Brian C., 2013. "Accuracy of Qualitative Forecasts of Farmland Values from the Federal Reserve's Land Value Survey," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 45(1), pages 159-170, February.
    7. Anderson, Soren T. & Kellogg, Ryan & Sallee, James M., 2013. "What do consumers believe about future gasoline prices?," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 383-403.
    8. Maloney, Michael T. & Mulherin, J. Harold, 2003. "The complexity of price discovery in an efficient market: the stock market reaction to the Challenger crash," Journal of Corporate Finance, Elsevier, vol. 9(4), pages 453-479, September.
    9. Antonovitz, Frances & Roe, Terry, 1986. "A Theoretical and Empirical Approach to the Value of Information in Risky Markets," The Review of Economics and Statistics, MIT Press, vol. 68(1), pages 105-114, February.
    10. Mr. Aasim M. Husain & Chakriya Bowman, 2004. "Forecasting Commodity Prices: Futures Versus Judgment," IMF Working Papers 2004/041, International Monetary Fund.
    11. Richard E. Just & Gordon C. Rausser, 1981. "Commodity Price Forecasting with Large-Scale Econometric Models and the Futures Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(2), pages 197-208.
    12. Evelyn V. Colino & Scott H. Irwin, 2010. "Outlook vs. Futures: Three Decades of Evidence in Hog and Cattle Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 1-15.
    13. J. W. Freebairn, 1976. "The Value and Distribution of the Benefits of Commodity Price Outlook Information," The Economic Record, The Economic Society of Australia, vol. 52(2), pages 199-212, June.
    14. Dwight R. Sanders & Mark R. Manfredo, 2005. "Forecast Encompassing as the Necessary Condition to Reject Futures Market Efficiency: Fluid Milk Futures," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 610-620.
    15. Jordi Pons, 2001. "The rationality of price forecasts: a directional analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 11(3), pages 287-290.
    16. Frederick L. Joutz, 1997. "Forecasting CPI Food Prices: An Assessment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(5), pages 1681-1685.
    17. Freebairn, John W., 1978. "An Evaluation of Outlook Information for Australian Agricultural Commodities," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 46(03), pages 1-21, December.
    18. William G. Tomek, 1997. "Commodity Futures Prices as Forecasts," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 19(1), pages 23-44.
    19. David F. Bradford & Harry H. Kelejian, 1978. "The Value of Information for Crop Forecasting with Bayesian Speculators: Theory and Empirical Results," Bell Journal of Economics, The RAND Corporation, vol. 9(1), pages 123-144, Spring.
    20. Bessler, David A. & Brandt, Jon A., 1992. "An analysis of forecasts of livestock prices," Journal of Economic Behavior & Organization, Elsevier, vol. 18(2), pages 249-263, July.
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