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General Equilibrium and the Emergence of (Non) Market Clearing Trading Institutions

Author

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  • Carlos Alós-Ferrer
  • Georg Kirchsteiger
Abstract
We consider a pure exchange economy, where for each good several trading institutions are available, only one of which is market-clearing. The other feasible trading institutions lead to rationing. To learn on which trading institutions to coordinate, traders follow behavioural rules of thumb that are based on the past performances of the trading institutions. Given the choice of institutions, market outcomes are determined by an equilibrium concept that allows for rationing. We find that full coordination on the market-clearing institutions without any rationing is a stochastically stable outcome, independently of the characteristics of the alternative available institutions. We also find, though, that coordination on other, non-market-clearing institutions with rationing can be stochastically stable.
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  • Carlos Alós-Ferrer & Georg Kirchsteiger, 2010. "General Equilibrium and the Emergence of (Non) Market Clearing Trading Institutions," ULB Institutional Repository 2013/149592, ULB -- Universite Libre de Bruxelles.
    • Handle: RePEc:ulb:ulbeco:2013/149592
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    12. Stahn, Hubert, 1999. "Monopolistic behaviors and general equilibrium: a generalization of Nikaido's work," Journal of Mathematical Economics, Elsevier, vol. 32(1), pages 87-112, August.
    13. Alós-Ferrer, Carlos & Netzer, Nick, 2010. "The logit-response dynamics," Games and Economic Behavior, Elsevier, vol. 68(2), pages 413-427, March.
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    Cited by:

    1. Abhimanyu Khan & Ronald Peeters, 2020. "Evolution of Behavior When Duopolists Choose Prices and Quantities," Dynamic Games and Applications, Springer, vol. 10(2), pages 493-508, June.
    2. Chen, Shangrong & Bravo-Melgarejo, Sai & Mongeau, Romain & Malavolti, Estelle, 2023. "Adopting and diffusing hydrogen technology in air transport: An evolutionary game theory approach," Energy Economics, Elsevier, vol. 125(C).
    3. Carlos Alós-Ferrer & Nick Netzer, 2015. "Robust stochastic stability," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 58(1), pages 31-57, January.
    4. Alós-Ferrer, Carlos & Weidenholzer, Simon, 2014. "Imitation and the role of information in overcoming coordination failures," Games and Economic Behavior, Elsevier, vol. 87(C), pages 397-411.
    5. Mandel Antoine & Botta Nicola, 2009. "A Note on Herbert Gintis' "Emergence of a Price System from Decentralized Bilateral Exchange"," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 9(1), pages 1-18, December.
    6. Alós-Ferrer, Carlos & Buckenmaier, Johannes, 2017. "Trader matching and the selection of market institutions," Journal of Mathematical Economics, Elsevier, vol. 69(C), pages 118-127.
    7. Bos, Iwan & Marini, Marco A. & Saulle, Riccardo D., 2024. "Myopic oligopoly pricing," Games and Economic Behavior, Elsevier, vol. 145(C), pages 377-412.
    8. Kevin Hasker, 2014. "The Emergent Seed: A Representation Theorem for Models of Stochastic Evolution and two formulas for Waiting Time," Levine's Working Paper Archive 786969000000000954, David K. Levine.
    9. Khan, Abhimanyu & Peeters, Ronald, 2015. "Imitation by price and quantity setting firms in a differentiated market," Journal of Economic Dynamics and Control, Elsevier, vol. 53(C), pages 28-36.
    10. Ge Jiang & Simon Weidenholzer, 2017. "Local interactions under switching costs," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 64(3), pages 571-588, October.
    11. Edoardo Gaffeo & Mauro Gallegati & Lucio Gobbi, 2022. "Endogenous clearinghouse formation in payment networks," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 109-136, April.
    12. Carlos Alós-Ferrer & Georg Kirchsteiger, 2015. "Learning and market clearing: theory and experiments," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 60(2), pages 203-241, October.
    13. Alós-Ferrer, Carlos & Kirchsteiger, Georg, 2017. "Market selection by boundedly-rational traders under constant returns to scale," Economics Letters, Elsevier, vol. 153(C), pages 51-53.
    14. Jonathan Newton, 2018. "Evolutionary Game Theory: A Renaissance," Games, MDPI, vol. 9(2), pages 1-67, May.

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    More about this item

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • D5 - Microeconomics - - General Equilibrium and Disequilibrium
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance

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