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Determining Returns to Storage: Does Data Aggregation Matter?

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  • Klumpp, Joni M.
  • Brorsen, B. Wade
  • Anderson, Kim B.

Abstract

Aggregate data are commonly used to determine returns to storage. However, recent studies have shown that aggregating data may lead to underestimated returns. This article compares aggregate and elevator data from Oklahoma to determine if aggregate data underestimate returns. We find no difference between the mean returns estimated with aggregate data and the mean returns estimated with transaction level data from grain elevators in Oklahoma.

Suggested Citation

  • Klumpp, Joni M. & Brorsen, B. Wade & Anderson, Kim B., 2007. "Determining Returns to Storage: Does Data Aggregation Matter?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 39(3), pages 571-579, December.
    • Handle: RePEc:cup:jagaec:v:39:y:2007:i:03:p:571-579_02
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    Cited by:

    1. Dietz, Sarah N. & Aulerich, Nicole M. & Irwin, Scott H. & Good, Darrel L., 2009. "The Marketing Performance of Illinois and Kansas Wheat Farmers," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(1), pages 1-15, April.
    2. Hatchett, Robert B. & Brorsen, B. Wade & Anderson, Kim B., 2010. "Optimal Length of Moving Average to Forecast Futures Basis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(1), pages 1-16.

    More about this item

    JEL classification:

    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

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