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Parameterized Supply Function Bidding: Equilibrium and Efficiency
- Source :
- Tsitsiklis via Amy Stout
- Publication Year :
- 2011
- Publisher :
- Institute for Operations Research and the Management Sciences (INFORMS), 2011.
-
Abstract
- We consider a model where a finite number of producers compete to meet an infinitely divisible but inelastic demand for a product. Each firm is characterized by a production cost that is convex in the output produced, and firms act as profit maximizers. We consider a uniform price market design that uses supply function bidding: firms declare the amount they would supply at any positive price, and a single price is chosen to clear the market. We are interested in evaluating the impact of price-anticipating behavior both on the allocative efficiency of the market and on the prices seen at equilibrium. We show that by restricting the strategy space of the firms to parameterized supply functions, we can provide upper bounds on both the inflation of aggregate cost at the Nash equilibrium relative to the socially optimal level, as well as the markup of the Nash equilibrium price above the competitive level: as long as N > 2 firms are competing, these quantities are both upper bounded by 1 + 1/(N − 2). This result holds even in the presence of asymmetric cost structure across firms. We also discuss several extensions, generalizations, and related issues.<br />National Science Foundation (U.S.) (Graduate Research Fellowship)<br />National Science Foundation (U.S.) (grant ECS-0312921)
- Subjects :
- TheoryofComputation_MISCELLANEOUS
Price elasticity of demand
Computer Science::Computer Science and Game Theory
Supply
TheoryofComputation_GENERAL
Management Science and Operations Research
Bidding
Computer Science Applications
Microeconomics
Bertrand paradox (economics)
symbols.namesake
Nash equilibrium
symbols
Economics
Allocative efficiency
Price of stability
Mathematical economics
Aggregate supply
Subjects
Details
- ISSN :
- 15265463 and 0030364X
- Volume :
- 59
- Database :
- OpenAIRE
- Journal :
- Operations Research
- Accession number :
- edsair.doi.dedup.....92c2236a490cd059fa8ba79549be7c72
- Full Text :
- https://doi.org/10.1287/opre.1110.0980