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Measuring An Almost Ideal Demand System With Generalized Flexible Least Squares

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  • Poray, Michael C.
  • Foster, Kenneth A.
  • Dorfman, Jeffrey H.

Abstract

Structural change in meat consumption has been the focus of many researchers during the last two decades. In this paper we develop a dynamic linear Almost Ideal Demand System (AIDS) model from a cost function that allows for time varying parameters. This model is consistent with inertia in the parameters of the cost and indirect utility functions. It allows for persistent preferences which may arise from cultural biases, lifestyles, peer pressure, etc. An empirical application is conducted with US meat consumption and price data using a generalized system of flexible least squares, Generalized Flexible Least Squares (GFLS). GFLS allows parameters to evolve slowly over time through incorporating of penalties in fluctuations. Estimated quarterly elasticities were subjected to additional analysis to determine how highly they were related to the Brown and Schrader Cholesterol Index and relative prices. The combined results support that the movements of elasticities over time are related to both.

Suggested Citation

  • Poray, Michael C. & Foster, Kenneth A. & Dorfman, Jeffrey H., 2000. "Measuring An Almost Ideal Demand System With Generalized Flexible Least Squares," 2000 Annual meeting, July 30-August 2, Tampa, FL 21796, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea00:21796
    DOI: 10.22004/ag.econ.21796
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    References listed on IDEAS

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    Cited by:

    1. Brinker, Adam J. & Parcell, Joseph L. & Dhuyvetter, Kevin C., 2007. "Cross-Hedging Distillers Dried Grains: Exploring Corn and Soybean Meal Futures Contracts," 2007 Conference, April 16-17, 2007, Chicago, Illinois 37567, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    2. Parcell, Joseph L., 2003. "An Empirical Analysis of the Demand for Wholesale Pork Primals: Seasonality and Structural Change," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(2), pages 1-14, August.
    3. Hubbs, Todd & Kuethe, Todd H. & Baker, Timothy G., 2009. "Evaluating the Dynamic Nature of Market Risk," 2009 Conference, April 20-21, 2009, St. Louis, Missouri 53037, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    4. Kuethe, Todd H. & Foster, Kenneth A. & Florax, Raymond J.G.M., 2008. "A Spatial Hedonic Model with Time-Varying Parameters: A New Method Using Flexible Least Squares," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6306, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Schroeter, Christiane & Foster, Kenneth A., 2004. "The Impact Of Health Information And Demographic Changes On Aggregate Meat Demand," 2004 Annual meeting, August 1-4, Denver, CO 20130, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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