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Ambiguous Networks

  • Marco Pelliccia

    (Department of Economics, Mathematics & Statistics, Birkbeck)

We investigate the impact of network structures describing reciprocal influence-relationships between agents on their perceived ambiguity. We argue that, under specific assumptions, the potential complexity of the link-structures creates extra uncertainty or ambiguity over the "right" probability distribution to consider. This result affects the optimal equilibrium structures which arise in a dynamic game where the agents/nodes strategically rewire their links to minimize the perceived uncertainty. The model could explain specific network dynamics observed in markets with asymmetric or not perfect information on the partners' outcomes. For instance, we propose an interpretation of the dynamic of the European Interbank Market structure before and after the recent financial crisis.

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File URL: http://www.bbk.ac.uk/ems/research/wp/2013/PDFs/BWPEF1303.pdf
File Function: First version, 2013
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Paper provided by Birkbeck, Department of Economics, Mathematics & Statistics in its series Birkbeck Working Papers in Economics and Finance with number 1303.

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Date of creation: Feb 2013
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Handle: RePEc:bbk:bbkefp:1303
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  1. Kaivan Munshi, 2003. "Networks In The Modern Economy: Mexican Migrants In The U.S. Labor Market," The Quarterly Journal of Economics, MIT Press, vol. 118(2), pages 549-599, May.
  2. Matthew O. Jackson & Asher Wolinsky, 1995. "A Strategic Model of Social and Economic Networks," Discussion Papers 1098R, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  3. Mueller-Frank, Manuel, 2013. "A general framework for rational learning in social networks," Theoretical Economics, Econometric Society, vol. 8(1), January.
  4. Harrison Hong & Jeffrey D. Kubik & Jeremy C. Stein, 2001. "Social Interaction and Stock-Market Participation," NBER Working Papers 8358, National Bureau of Economic Research, Inc.
  5. Peter Klibanoff & Massimo Marinacci & Sujoy Mukerji, 2005. "A Smooth Model of Decision Making under Ambiguity," Econometrica, Econometric Society, vol. 73(6), pages 1849-1892, November.
  6. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
  7. Daron Acemoglu & Munther A. Dahleh & Ilan Lobel & Asuman Ozdaglar, 2008. "Bayesian Learning in Social Networks," NBER Working Papers 14040, National Bureau of Economic Research, Inc.
  8. Esther Duflo & Emmanuel Saez, 2002. "The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment," NBER Working Papers 8885, National Bureau of Economic Research, Inc.
  9. Lurie, Nicholas H, 2004. " Decision Making in Information-Rich Environments: The Role of Information Structure," Journal of Consumer Research, University of Chicago Press, vol. 30(4), pages 473-86, March.
  10. Topa, Giorgio, 1997. "Social Interactions, Local Spillovers and Unemployment," Working Papers 97-17, C.V. Starr Center for Applied Economics, New York University.
  11. Gabrieli, S., 2012. "Too-connected versus too-big-to-fail: banks’ network centrality and overnight interest rates," Working papers 398, Banque de France.
  12. Yannis M. Ioannides & Linda Datcher Loury, 2004. "Job Information Networks, Neighborhood Effects, and Inequality," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1056-1093, December.
  13. Michael Boss & Helmut Elsinger & Martin Summer & Stefan Thurner, 2004. "Network topology of the interbank market," Quantitative Finance, Taylor & Francis Journals, vol. 4(6), pages 677-684.
  14. Fabio Maccheroni & Massimo Marinacci & Aldo Rustichini, 2004. "Ambiguity Aversion, Robustness, and the Variational Representation of Preferences," Carlo Alberto Notebooks 12, Collegio Carlo Alberto, revised 2006.
  15. Dutta, Bhaskar & Mutuswami, Suresh, 1997. "Stable Networks," Journal of Economic Theory, Elsevier, vol. 76(2), pages 322-344, October.
    • Dutta, Bhaskar & Mutuswami, Suresh, 1996. "Stable Networks," Working Papers 971, California Institute of Technology, Division of the Humanities and Social Sciences.
  16. Iori, G. & Reno, R. & de Masi, G. & Caldarelli, G., 2006. "Trading strategies in the Italian interbank market," Working Papers 06/03, Department of Economics, City University London.
  17. Mark J. Flannery, 1996. "Financial crises, payment system problems, and discount window lending," Proceedings, Board of Governors of the Federal Reserve System (U.S.), pages 804-831.
  18. Upper, Christian & Worms, Andreas, 2004. "Estimating bilateral exposures in the German interbank market: Is there a danger of contagion?," European Economic Review, Elsevier, vol. 48(4), pages 827-849, August.
  19. Emmanuel Saez & Esther Duflo, 2003. "The role of information and social interactions in retirement plan decisions: Evidence from a randomized experiment," Framed Field Experiments 00141, The Field Experiments Website.
  20. Matthew O. Jackson, 2001. "Strongly Stable Networks," University of Oregon Economics Department Working Papers 2001-3, University of Oregon Economics Department, revised 15 Nov 2002.
  21. David Schmeidler, 1989. "Subjective Probability and Expected Utility without Additivity," Levine's Working Paper Archive 7662, David K. Levine.
  22. Ana Babus, 2007. "The Formation of Financial Networks," Working Papers 2007.69, Fondazione Eni Enrico Mattei.
  23. Gert Sabidussi, 1966. "The centrality index of a graph," Psychometrika, Springer, vol. 31(4), pages 581-603, December.
  24. Sanjeev Goyal & Sumit Joshi, 2006. "Unequal connections," International Journal of Game Theory, Springer, vol. 34(3), pages 319-349, October.
  25. Rosenberg, Dinah & Solan, Eilon & Vieille, Nicolas, 2009. "Informational externalities and emergence of consensus," Games and Economic Behavior, Elsevier, vol. 66(2), pages 979-994, July.
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