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Industry-region load profiles: econometric estimation based on marginal totals


  • A. Leslie Robb

    (Department of Economics, McMaster University, Hamilton, Ontario L8S 4M4, Canada)

  • Dean C. Mountain

    (Michael G. DeGroote School of Business, McMaster University, Hamilton, Ontario L8S 4M4, Canada)

  • Christine H. Feaver

    (Department of Economics, McMaster University, Hamilton, Ontario L8S 4M4, Canada)

  • Frank T. Denton

    (Department of Economics, McMaster University, Hamilton, Ontario L8S 4M4, Canada)

  • Byron G. Spencer

    (Department of Economics, McMaster University, Hamilton, Ontario L8S 4M4, Canada)


A theoretical model and a two-stage econometric estimation procedure are proposed for determining the parameters of industry-region-specific cost, input-demand, or other functions using grouped data. The model and estimation procedure are appropriate when only marginal totals or averages are available, or when data are classified by both region and industry but many cells are empty or sparsely represented. An application is reported in which load functions for the hourly input of electricity are estimated for each day of the week and each month of the year in each cell of a 31×7 industry-region matrix. The use of the model to simulate the sensitivity of electricity demand to regional location and weather variability is illustrated.

Suggested Citation

  • A. Leslie Robb & Dean C. Mountain & Christine H. Feaver & Frank T. Denton & Byron G. Spencer, 1996. "Industry-region load profiles: econometric estimation based on marginal totals," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 30(2), pages 223-246.
  • Handle: RePEc:spr:anresc:v:30:y:1996:i:2:p:223-246 Note: Received: September 1995 / Accepted: January 1996

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    References listed on IDEAS

    1. Diewert, W E, 1992. "The Measurement of Productivity," Bulletin of Economic Research, Wiley Blackwell, vol. 44(3), pages 163-198, July.
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    More about this item

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities


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