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Modelling Time of Day Sustitution Using the Second Moments of Demand

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  • Hirschberg, J.G.

Abstract

Time of day (TOD) rates are a commonly used method for peak load pricing of many services. Such services as ; electricity, communications, transportation, shared computer facilities, and computer networks (ie. the Internet), either use, or will use form of TOD pricing. The model presented here provides a method for estimating TOD substitution without the need for rate experiments that have proven to be both costly and limited by sample selection bias problems.

Suggested Citation

  • Hirschberg, J.G., 1996. "Modelling Time of Day Sustitution Using the Second Moments of Demand," Department of Economics - Working Papers Series 506, The University of Melbourne.
  • Handle: RePEc:mlb:wpaper:506
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    1. Herriges, Joseph A, et al, 1993. "The Response of Industrial Customers to Electric Rates Based upon Dynamic Marginal Costs," The Review of Economics and Statistics, MIT Press, vol. 75(3), pages 446-454, August.
    2. Freedman, David A & Peters, Stephen C, 1984. "Bootstrapping an Econometric Model: Some Empirical Results," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(2), pages 150-158, April.
    3. H. Theil, 1952. "Qualities, Prices and Budget Enquiries," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 19(3), pages 129-147.
    4. BARTEN, Anton P., 1968. "Estimating demand equations," LIDAM Reprints CORE 21, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Jay Zarnikau, 1990. "Customer Responsiveness to Real-Time Pricing of Electricity," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 99-116.
    6. Selvanathan, E. Antony, 1985. "An even simpler differential demand system," Economics Letters, Elsevier, vol. 19(4), pages 343-347.
    7. Aigner, Dennis J., 1984. "The welfare econometrics of peak-load pricing for electricity : Editor's Introduction," Journal of Econometrics, Elsevier, vol. 26(1-2), pages 1-15.
    8. Joseph G. Hirschberg & Dennis J. Aigner, 1983. "An Analysis of Commercial and Industrial Customer Response to Time-of-Use Rates," The Energy Journal, , vol. 4(1_suppl), pages 103-126, June.
    9. H. H. Thell & H. Neudecker, 1958. "Substitution, Complementarity, and the Residual Variation around Engel Curves," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 25(2), pages 114-123.
    10. Manning, Williard Jr. & Mitchell, Bridger M. & Acton, Jan Paul, 1979. "Design of the Los Angeles peak-load pricing experiment for electricity," Journal of Econometrics, Elsevier, vol. 11(1), pages 131-194, September.
    11. Douglas W. Caves & Laurits R. Christensen & Joseph A. Herriges, 1987. "The Neoclassical Model of Consumer Demand with Identically Priced Commodities: An Application to Time-of-Use Electricity Pricing," RAND Journal of Economics, The RAND Corporation, vol. 18(4), pages 564-580, Winter.
    12. Crew, Michael A & Fernando, Chitru S & Kleindorfer, Paul R, 1995. "The Theory of Peak-Load Pricing: A Survey," Journal of Regulatory Economics, Springer, vol. 8(3), pages 215-248, November.
    13. Caves, Douglas W. & Christensen, L. R. & Herriges, Joseph A., 1987. "Neoclassical Model of Consumer Demand with Identically Priced Commodities; And An Application to Time of Use Electricity Pricing," Staff General Research Papers Archive 10793, Iowa State University, Department of Economics.
    14. Gallant, A. Ronald & Koenker, Roger W., 1984. "Costs and benefits of peak-load pricing of electricity : A continuous-time econometric approach," Journal of Econometrics, Elsevier, vol. 26(1-2), pages 83-113.
    15. Dennis J. Aigner & Joseph G. Hirschberg, 1985. "Commercial/Industrial Customer Response to Time-Of-Use Electricity Prices: Some Experimental Results," RAND Journal of Economics, The RAND Corporation, vol. 16(3), pages 341-355, Autumn.
    16. Selvanathan, Saroja, 1991. "The Reliability of ML Estimators of Systems of Demand Equations: Evidence from OECD Countries," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 346-353, May.
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    Cited by:

    1. Joseph G. Hirschberg & Jenny N. Lye, 2001. "Clustering in a Data Envelopment Analysis Using Bootstrapped Efficiency Scores," Department of Economics - Working Papers Series 800, The University of Melbourne.

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    More about this item

    Keywords

    ELECTRICITY; DEMAND; PRICING;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • R22 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other Demand
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

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