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Optimal Nonlinear Pricing and Contingent Contracts

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  • Spulber, Daniel F

Abstract

Nonlinear pricing is extended to allow for demand, cost, and capacity uncertainty. Incentive schedules are developed that implement the Pareto optimal allocation. Consumers choose a reference point, e.g., baseload demand. This determines both their payment level and the state-contingent output allocation. The approximate efficiency of alternative implementation procedures with discrete customer classes and with a linear prorated service rule is also examined. Copyright 1992 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.

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Bibliographic Info

Article provided by Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association in its journal International Economic Review.

Volume (Year): 33 (1992)
Issue (Month): 4 (November)
Pages: 747-72

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Handle: RePEc:ier:iecrev:v:33:y:1992:i:4:p:747-72

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Cited by:
  1. C.K. Woo & Brian Horii & Ira Horowitz, 2002. "The Hopkinson tariff alternative to TOU rates in the Israel Electric Corporation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 23(1), pages 9-19.
  2. David, Laurent & Le Breton, Michel & Merillon, Olivier, 2007. "Regulating the Natural Gas Transportation Industry: Optimal Pricing Policy of a Monopolist with Advance-Purchase and Spot Markets," IDEI Working Papers 488, Institut d'Économie Industrielle (IDEI), Toulouse.
  3. Woo, C.K. & Kollman, E. & Orans, R. & Price, S. & Horii, B., 2008. "Now that California has AMI, what can the state do with it?," Energy Policy, Elsevier, vol. 36(4), pages 1366-1374, April.
  4. Eugenio J. Miravete, 2001. "Screening Through Bundling," Penn CARESS Working Papers 3b8e0b3847b08b90e8570987c, Penn Economics Department.
  5. Bernard, Jean-Thomas & Roland, Michel, 2000. "Load management programs, cross-subsidies and transaction costs: the case of self-rationing," Resource and Energy Economics, Elsevier, vol. 22(2), pages 161-188, May.
  6. David, Laurent & Le Breton, Michel & Merillon, Olivier, 2007. "Public Utility Pricing and Capacity Choice with Stochastic Demand," IDEI Working Papers 489, Institut d'Économie Industrielle (IDEI), Toulouse.
  7. Noussair, Charles & Porter, David., 1990. "Allocating Priority with Auctions: An Experimental Analysis," Working Papers 747, California Institute of Technology, Division of the Humanities and Social Sciences.
  8. Heidrun Hoppe & Benny Moldovanu & Emre Ozdenoren, 2011. "Coarse matching with incomplete information," Economic Theory, Springer, vol. 47(1), pages 75-104, May.
  9. Eugenio J. Miravete, . "Quantity Discounts for Taste-Varying Consumers," CARESS Working Papres 99-11, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences.
  10. Miravete, Eugenio J, 2000. "Estimating Demand for Local Telephone Service with Asymmetric Information and Optional Calling Plans," CEPR Discussion Papers 2635, C.E.P.R. Discussion Papers.
  11. Seeto, Dewey & Woo, C. K. & Horowitz, Ira, 1997. "Time-of-use rates vs. Hopkinson tariffs redux: An analysis of the choice of rate structures in a regulated electricity distribution company," Energy Economics, Elsevier, vol. 19(2), pages 169-185, May.

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