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Forecasting Demand for Rural Electric Cooperative Call Center


  • Kim, Taeyoon
  • Kenkel, Philip L.
  • Brorsen, B. Wade


This research forecasts peak call volume to allow a centralized call center to minimize staffing costs. A Gaussian copula is used to capture the dependence among nonnormal distributions. Peak call volume can be easily and more accurately predicted using the marginal probability distribution with the copula function than without using a copula. The modeling approach allows simulating adding another cooperative. Ignoring the dependence that the copula includes, causes peak values to be underestimated.

Suggested Citation

  • Kim, Taeyoon & Kenkel, Philip L. & Brorsen, B. Wade, 2009. "Forecasting Demand for Rural Electric Cooperative Call Center," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46809, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saeana:46809

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    1. Johnson, Phillip N. & Segarra, Eduardo, 1995. "An Evaluation of Post Conservation Reserve Program Alternatives In The Texas High Plains," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 27(02), pages 556-564, December.
    2. Lawrence D. Mapemba & Francis M. Epplin & Charles M. Taliaferro & Raymond L. Huhnke, 2007. "Biorefinery Feedstock Production on Conservation Reserve Program Land," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(2), pages 227-246.
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