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Analysis of stochastic matching markets

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  • Péter Biró
  • Gethin Norman

Abstract

Suppose that the agents of a matching market contact each other randomly and form new pairs if is in their interest. Does such a process always converge to a stable matching if one exists? If so, how quickly? Are some stable matchings more likely to be obtained by this process than others? In this paper we are going to provide answers to these and similar questions, posed by economists and computer scientists. In the first part of the paper we give an alternative proof for the theorems by Diamantoudi et al. and Inarra et al., which imply that the corresponding stochastic processes are absorbing Markov chains. The second part of the paper proposes new techniques to analyse the behaviour of matching markets. We introduce the Stable Marriage and Stable Roommates Automaton and show how the probabilistic model checking tool PRISM may be used to predict the outcomes of stochastic interactions between myopic agents. In particular, we demonstrate how one can calculate the probabilities of reaching different matchings in a decentralised market and determine the expected convergence time of the stochastic process concerned. We illustrate the usage of this technique by studying some well-known marriage and roommates instances and randomly generated instances. Copyright Springer-Verlag Berlin Heidelberg 2013

Suggested Citation

  • Péter Biró & Gethin Norman, 2013. "Analysis of stochastic matching markets," International Journal of Game Theory, Springer;Game Theory Society, vol. 42(4), pages 1021-1040, November.
    • Handle: RePEc:spr:jogath:v:42:y:2013:i:4:p:1021-1040
    DOI: 10.1007/s00182-012-0352-8
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    References listed on IDEAS

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    1. Jacob D Leshno & Bary S R Pradelski, 2021. "The importance of memory for price discovery in decentralized markets," Post-Print hal-03100097, HAL.
    2. Joana Pais & Ágnes Pintér & Róbert F. Veszteg, 2020. "Decentralized matching markets with(out) frictions: a laboratory experiment," Experimental Economics, Springer;Economic Science Association, vol. 23(1), pages 212-239, March.
    3. Newton, Jonathan & Sawa, Ryoji, 2015. "A one-shot deviation principle for stability in matching problems," Journal of Economic Theory, Elsevier, vol. 157(C), pages 1-27.
    4. Bolle Friedel & Otto Philipp E., 2016. "Matching as a Stochastic Process," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(3), pages 323-348, May.
    5. Leshno, Jacob D. & Pradelski, Bary S.R., 2021. "The importance of memory for price discovery in decentralized markets," Games and Economic Behavior, Elsevier, vol. 125(C), pages 62-78.

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