Load management programs, cross-subsidies and transaction costs: the case of self-rationing
Load management programs are used by electric utilities to reduce the amount of reserve capacity that is required in order to meet peak consumption. Although these programs are generally offered to costumers as alternatives to regular service, economic models of their allocative efficiency have always been based on the implicit assumption that they were the only services available. This paper presents a model in which the consumer has the option to subscribe to regular service or to participate in a particular load management program, called self- rationing.
(This abstract was borrowed from another version of this item.)
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Bohi, Douglas R. & Palmer, Karen L., 1996. "The efficiency of wholesale vs. retail competition in electricity," The Electricity Journal, Elsevier, vol. 9(8), pages 12-20, October.
- Filippini, Massimo, 1995. "Electricity demand by time of use An application of the household AIDS model," Energy Economics, Elsevier, vol. 17(3), pages 197-204, July.
- Wilson, Robert, 1989. "Ramsey Pricing of Priority Service," Journal of Regulatory Economics, Springer, vol. 1(3), pages 189-202, September.
- Brown,Stephen J. & Sibley,David Sumner, 1986. "The Theory of Public Utility Pricing," Cambridge Books, Cambridge University Press, number 9780521314008, October.
- Paul L. Joskow, 1997. "Restructuring, Competition and Regulatory Reform in the U.S. Electricity Sector," Journal of Economic Perspectives, American Economic Association, vol. 11(3), pages 119-138, Summer.
- Panzar, John C & Sibley, David S, 1978. "Public Utility Pricing under Risk: The Case of Self-Rationing," American Economic Review, American Economic Association, vol. 68(5), pages 888-895, December.
- Schwarz, Peter M & Taylor, Thomas N, 1987. "Public Utility Pricing under Risk; the Case of Self-Rationing: Comment and Extension," American Economic Review, American Economic Association, vol. 77(4), pages 734-739, September.
- Chao, Hung-po & Wilson, Robert, 1987. "Priority Service: Pricing, Investment, and Market Organization," American Economic Review, American Economic Association, vol. 77(5), pages 899-916, December.
- Beard, T. Randolph & Sweeney, George H. & Gropper, Daniel M., 1995. "Subsidy free pricing of interruptible service contracts," Energy Economics, Elsevier, vol. 17(1), pages 53-58, January.
- Chao, Hung-po & Oren, Shmuel S. & Smith, Stephen A. & Wilson, Robert B., 1986. "Multilevel demand subscription pricing for electric power," Energy Economics, Elsevier, vol. 8(4), pages 199-217, October.
- Lee, Seong-Uh, 1993. "Welfare-Optimal Pricing and Capacity Selection under an Ex Ante Maximum Demand Charge," Journal of Regulatory Economics, Springer, vol. 5(3), pages 317-335, September.
- Doucet, Joseph A & Roland, Michel, 1993. "Efficient Self-Rationing of Electricity Revisited," Journal of Regulatory Economics, Springer, vol. 5(1), pages 91-100, March.
- Marchand, M. G., 1974. "Pricing power supplied on an interruptible basis," European Economic Review, Elsevier, vol. 5(3), pages 263-274.
- Woo, Chi-Keung, 1990. "Efficient Electricity Pricing with Self-Rationing," Journal of Regulatory Economics, Springer, vol. 2(1), pages 69-81, March.
- Oren, Shmuel S & Doucet, Joseph A, 1990. "Interruption Insurance for Generation and Distribution of Electric Power," Journal of Regulatory Economics, Springer, vol. 2(1), pages 5-19, March.
- Caves, Douglas W. & Christensen, Laurits R., 1980. "Econometric analysis of residential time-of-use electricity pricing experiments," Journal of Econometrics, Elsevier, vol. 14(3), pages 287-306, December.
- Thomas N. Taylor & Peter M. Schwarz, 1986. "A Residential Demand Charge: Evidence from the Duke Power Time-of-Day Pricing Experiment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 135-151.
- Spulber, Daniel F, 1992. "Capacity-Contingent Nonlinear Pricing by Regulated Firms," Journal of Regulatory Economics, Springer, vol. 4(4), pages 299-319, December.
- Spulber, Daniel F, 1992. "Optimal Nonlinear Pricing and Contingent Contracts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(4), pages 747-772, November.
When requesting a correction, please mention this item's handle: RePEc:eee:resene:v:22:y:2000:i:2:p:161-188. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Shamier, Wendy)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.