Modelling Time of Day Sustitution Using the Second Moments of Demand
AbstractTime 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.
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Bibliographic InfoPaper provided by The University of Melbourne in its series Department of Economics - Working Papers Series with number 506.
Length: 21 pages
Date of creation: 1996
Date of revision:
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Postal: Department of Economics, The University of Melbourne, 5th Floor, Economics and Commerce Building, Victoria, 3010, Australia
Phone: +61 3 8344 5289
Fax: +61 3 8344 6899
Web page: http://www.economics.unimelb.edu.au
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ELECTRICITY; DEMAND; PRICING;
Other versions of this item:
- J. G. Hirschberg, 2000. "Modelling time of day substitution using the second moments of demand," Applied Economics, Taylor & Francis Journals, vol. 32(8), pages 979-986.
- 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 and Pricing
- 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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- 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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