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What Makes Markets Allocationally Efficient?

Citations

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Cited by:

  1. Li, Hongyan & Tesfatsion, Leigh, 2012. "Co-learning patterns as emergent market phenomena: An electricity market illustration," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 395-419.
  2. Andrea Morone & Francesco Nemore & Simone Nuzzo, 2018. "Experimental evidence on tax salience and tax incidence," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 20(4), pages 582-612, August.
  3. Shyam Sunder & MODELS A, 2002. "Markets as Artifacts: Aggregate Efficiency from Zero-Intelligence Traders," Yale School of Management Working Papers ysm284, Yale School of Management, revised 01 Sep 2004.
  4. Karim Jamal & Michael Maier & Shyam Sunder, 2017. "Simple Agents, Intelligent Markets," Computational Economics, Springer;Society for Computational Economics, vol. 49(4), pages 653-675, April.
  5. Hanaki, Nobuyuki & Koriyama, Yukio & Sutan, Angela & Willinger, Marc, 2019. "The strategic environment effect in beauty contest games," Games and Economic Behavior, Elsevier, vol. 113(C), pages 587-610.
  6. Hoog, S. van der, 2004. "On the Micro-Dynamics of a Cash-in-Advance Economy," CeNDEF Working Papers 04-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  7. Rong-Ruey Duh & Karim Jamal & Shyam NMI Sunder, 2001. "Control and Assurance in E-Commerce: Privacy, Integrity and Security at eBay," Yale School of Management Working Papers ysm170, Yale School of Management.
  8. Michiel Leur & Mikhail Anufriev, 2018. "Timing under individual evolutionary learning in a continuous double auction," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 609-631, August.
  9. John Duffy & M. Utku Unver, 2003. "Asset Price Bubbles and Crashes with Near-Zero-Intelligence Traders: Towards an Understanding of Laboratory Findings," Computational Economics 0307001, University Library of Munich, Germany, revised 17 Mar 2004.
  10. Ralph Bradburd & Stephen Sheppard & Joseph Bergeron & Eric Engler, 2006. "The Impact Of Rent Controls In Non‐Walrasian Markets: An Agent‐Based Modeling Approach," Journal of Regional Science, Wiley Blackwell, vol. 46(3), pages 455-491, August.
  11. Nuzzo, Simone & Morone, Andrea, 2017. "Asset markets in the lab: A literature review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 13(C), pages 42-50.
  12. Kirchsteiger, G. & Niederle, M. & Potters, J.J.M., 1998. "The Endogenous Evolution of Market Institutions : An Experimental Investigation," Other publications TiSEM 5655ebed-6950-4ab7-b671-b, Tilburg University, School of Economics and Management.
  13. Nobuyuki Hanaki, 2020. "Cognitive ability and observed behavior in laboratory experiments: implications for macroeconomic theory," The Japanese Economic Review, Springer, vol. 71(3), pages 355-378, July.
  14. Gerasymchuk, S. & Pavlov, O.V., 2010. "Asset Price Dynamics with Local Interactions under Heterogeneous Beliefs," CeNDEF Working Papers 10-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  15. Florian Hauser & Marco LiCalzi, 2011. "Learning to Trade in an Unbalanced Market," Lecture Notes in Economics and Mathematical Systems, in: Sjoukje Osinga & Gert Jan Hofstede & Tim Verwaart (ed.), Emergent Results of Artificial Economics, pages 65-76, Springer.
  16. Giuseppe Danese & Luigi Mittone, 2015. "Norms and trades: An experimental investigation," Rationality and Society, , vol. 27(3), pages 259-282, August.
  17. Sylvain Mignot & Gabriele Tedeschi & Annick Vignes, 2012. "An Agent Based Model of Switching: The Case of Boulogne S/mer Fish Market," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-3.
  18. Gatzweiler, Franz W. & Volkmann, Jorg, 2007. "Beyond Economic Efficiency in Biodiversity Conservation," Institutional Change in Agriculture and Natural Resources Discussion Papers 7704, Humboldt University Berlin, Department of Agricultural Economics.
  19. Katerina Sherstyuk & Krit Phankitnirundorn & Michael J. Roberts, 2021. "Randomized double auctions: gains from trade, trader roles, and price discovery," Experimental Economics, Springer;Economic Science Association, vol. 24(4), pages 1325-1364, December.
  20. Miller, John H. & Tumminello, Michele, 2015. "Bazaar economics," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 163-181.
  21. Bradburd, Ralph & Sheppard, Stephen & Bergeron, Joseph & Engler, Eric & Gee, Evan, 2005. "The distributional impact of housing discrimination in a non-Walrasian setting," Journal of Housing Economics, Elsevier, vol. 14(2), pages 61-91, June.
  22. Aldashev, Gani & Carletti, Timoteo & Righi, Simone, 2011. "Follies subdued: Informational efficiency under adaptive expectations and confirmatory bias," Journal of Economic Behavior & Organization, Elsevier, vol. 80(1), pages 110-121.
  23. Badunenko, Oleg & Fritsch, Michael & Stephan, Andreas, 2008. "Allocative efficiency measurement revisited--Do we really need input prices?," Economic Modelling, Elsevier, vol. 25(5), pages 1093-1109, September.
  24. Kirchsteiger, G. & Niederle, M. & Potters, J.J.M., 2001. "Public Versus Private Exchanges," Other publications TiSEM e3e78ecc-b81b-4fd2-b45f-d, Tilburg University, School of Economics and Management.
  25. Yeh, Chia-Hsuan, 2008. "The effects of intelligence on price discovery and market efficiency," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 613-625, December.
  26. Kirchsteiger, Georg & Niederle, Muriel & Potters, Jan, 2005. "Endogenizing market institutions: An experimental approach," European Economic Review, Elsevier, vol. 49(7), pages 1827-1853, October.
  27. Kazuto Sasai & Yukio-Pegio Gunji & Tetsuo Kinoshita, 2017. "Intermittent Behavior Induced By Asynchronous Interactions In A Continuous Double Auction Model," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 20(02n03), pages 1-21, March.
  28. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011, Elsevier.
  29. Ladley, Dan & Schenk-Hoppé, Klaus Reiner, 2009. "Do stylised facts of order book markets need strategic behaviour?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 817-831, April.
  30. Iris Lorscheid & Bernd-Oliver Heine & Matthias Meyer, 2012. "Opening the ‘black box’ of simulations: increased transparency and effective communication through the systematic design of experiments," Computational and Mathematical Organization Theory, Springer, vol. 18(1), pages 22-62, March.
  31. Tedeschi, Gabriele & Iori, Giulia & Gallegati, Mauro, 2012. "Herding effects in order driven markets: The rise and fall of gurus," Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 82-96.
  32. Marco LiCalzi & Lucia Milone & Paolo Pellizzari, 2011. "Allocative Efficiency and Traders’ Protection Under Zero Intelligence Behavior," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 5-28, Springer.
  33. Roberto Leombruni, 2002. "Non Price Interaction and Business Fluctuations in an Agent Based Model of Firms’ Demography," LABORatorio R. Revelli Working Papers Series 17, LABORatorio R. Revelli, Centre for Employment Studies.
  34. Dhananjay K. & Shyam Sunder & Stephen Spear, 2004. "Convergence of Double Auctions to Pareto Optimal Allocations in the Edgeworth Box," Yale School of Management Working Papers amz2518, Yale School of Management, revised 01 Apr 2008.
  35. Huber, Juergen & Shubik, Martin & Sunder, Shyam, 2010. "Three minimal market institutions with human and algorithmic agents: Theory and experimental evidence," Games and Economic Behavior, Elsevier, vol. 70(2), pages 403-424, November.
  36. Gode, Dhananjay (Dan) K. & Sunder, Shyam, 2004. "Double auction dynamics: structural effects of non-binding price controls," Journal of Economic Dynamics and Control, Elsevier, vol. 28(9), pages 1707-1731, July.
  37. Koye Somefun & Philip Mirowski, 1999. "Towards an Automata Approach of (Institutional) Economics," Computing in Economics and Finance 1999 213, Society for Computational Economics.
  38. Libby, Robert & Bloomfield, Robert & Nelson, Mark W., 2002. "Experimental research in financial accounting," Accounting, Organizations and Society, Elsevier, vol. 27(8), pages 775-810, November.
  39. Skully, David W., 1999. "The Economics Of Trq Administration," Working Papers 14584, International Agricultural Trade Research Consortium.
  40. Basu Sudipta & Waymire Gregory B., 2019. "Historical Cost and Conservatism Are Joint Adaptations That Help Identify Opportunity Cost," Accounting, Economics, and Law: A Convivium, De Gruyter, vol. 9(1), pages 1-13, March.
  41. Lu, Dong & Zhan, Yaosong, 2022. "Over-the-counter versus double auction in asset markets with near-zero-intelligence traders," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
  42. Javier A. Birchenall, 2024. "Random choice and market demand," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 57(1), pages 165-198, February.
  43. Ross M. Miller, 2012. "The Effect Of Boundary Conditions On Efficiency And Pricing In Double‐Auction Markets With Zero‐Intelligence Agents," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(3), pages 179-188, July.
  44. Giuseppe Attanasi & Samuele Centorrino & Elena Manzoni, 2020. "Zero-Intelligence vs. Human Agents: An Experimental Analysis of the Efficiency of Double Auctions and Over-the-Counter Markets of Varying Sizes," Working Papers 05/2020, University of Verona, Department of Economics.
  45. Karim Jamal & Michael Maier & Shyam Sunder, 2019. "Aggregation of Diverse Information with Double Auction Trading among Minimally-Intelligent Algorithmic Agents," Cowles Foundation Discussion Papers 2182, Cowles Foundation for Research in Economics, Yale University.
  46. Karim Jamal & Michael Maier & Shyam Sunder, 2012. "Decoupling Markets and Individuals: Rational Expectations Equilibrium Outcomes from Information Dissemination among Boundedly-Rational Traders," Cowles Foundation Discussion Papers 1868, Cowles Foundation for Research in Economics, Yale University.
  47. Noemi Schmitt & Ivonne Schwartz & Frank Westerhoff, 2022. "Heterogeneous speculators and stock market dynamics: a simple agent-based computational model," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1263-1282, October.
  48. Zade, Michel & Lumpp, Sebastian Dirk & Tzscheutschler, Peter & Wagner, Ulrich, 2022. "Satisfying user preferences in community-based local energy markets — Auction-based clearing approaches," Applied Energy, Elsevier, vol. 306(PA).
  49. Morone, Andrea & Nemore, Francesco, 2015. "Tax salience: an experimental investigation," MPRA Paper 63814, University Library of Munich, Germany.
  50. Sander van der Hoog, 2004. "Credit and Cash-in-Advance in Disequilibrium Models," Computing in Economics and Finance 2004 294, Society for Computational Economics.
  51. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
  52. Nathalie Oriol & Iryna Veryzhenko, 2019. "Market structure or traders' behavior? A multi agent model to assess flash crash phenomena and their regulation," Quantitative Finance, Taylor & Francis Journals, vol. 19(7), pages 1075-1092, July.
  53. Huber, Juergen & Shubik, Martin & Sunder, Shyam, 2007. "Three Minimal Market Institutions: Theory and Experimental Evidence," Working Papers 27, Yale University, Department of Economics.
  54. Douglas W. Blackburn & Andrey D. Ukhov, 2013. "Individual vs. Aggregate Preferences: The Case of a Small Fish in a Big Pond," Management Science, INFORMS, vol. 59(2), pages 470-484, August.
  55. Chaturvedi, Alok & Mehta, Shailendra & Dolk, Daniel & Ayer, Rick, 2005. "Agent-based simulation for computational experimentation: Developing an artificial labor market," European Journal of Operational Research, Elsevier, vol. 166(3), pages 694-716, November.
  56. Herbert Simon, 2000. "Bounded rationality in social science: Today and tomorrow," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 1(1), pages 25-39, March.
  57. Feldman, Todd & Friedman, Daniel, 2008. "Humans, Robots and Market Crashes: A Laboratory Study ∗," Santa Cruz Department of Economics, Working Paper Series qt4kf382p6, Department of Economics, UC Santa Cruz.
  58. Mikhail Anufriev & Jasmina Arifovic & John Ledyard & Valentyn Panchenko, 2013. "Efficiency of continuous double auctions under individual evolutionary learning with full or limited information," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 539-573, July.
  59. Shyam Sunder, 2020. "Rational order from ‘irrational’ actions," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 19(2), pages 317-321, November.
  60. Dan Ladley & Seth Bullock, 2008. "The Strategic Exploitation of Limited Information and Opportunity in Networked Markets," Computational Economics, Springer;Society for Computational Economics, vol. 32(3), pages 295-315, October.
  61. Judith Avrahami & Werner Güth & Yaakov Kareev, 2005. "Games of Competition in a Stochastic Environment," Theory and Decision, Springer, vol. 59(4), pages 255-294, December.
  62. Anufriev, Mikhail & Arifovic, Jasmina & Ledyard, John & Panchenko, Valentyn, 2022. "The role of information in a continuous double auction: An experiment and learning model," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
  63. Gregory Lypny, 2003. "A Pilot Study Using an Online, Experimental, Two-Asset Market," The Journal of Economic Education, Taylor & Francis Journals, vol. 34(3), pages 204-213, January.
  64. Brewer, Paul J & Moberly, Raymond, 2021. "A comparison of zero and minimal intelligence agendas in Markov Chain voting models," OSF Preprints ajfdb, Center for Open Science.
  65. Krause, Andreas, 2006. "Fat tails and multi-scaling in a simple model of limit order markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 368(1), pages 183-190.
  66. Charles R. Plott, 2000. "Markets as Information Gathering Tools," Southern Economic Journal, John Wiley & Sons, vol. 67(1), pages 1-15, July.
  67. Paul Brewer & Maria Huang & Brad Nelson & Charles Plott, 2002. "On the Behavioral Foundations of the Law of Supply and Demand: Human Convergence and Robot Randomness," Experimental Economics, Springer;Economic Science Association, vol. 5(3), pages 179-208, December.
  68. Bottazzi, Giulio & Dosi, Giovanni & Rebesco, Igor, 2005. "Institutional architectures and behavioral ecologies in the dynamics of financial markets," Journal of Mathematical Economics, Elsevier, vol. 41(1-2), pages 197-228, February.
  69. Keith Dougherty & Julian Edward, 2012. "Voting for Pareto optimality: a multidimensional analysis," Public Choice, Springer, vol. 151(3), pages 655-678, June.
  70. Adrien Querbes, 2018. "Banned from the sharing economy: an agent-based model of a peer-to-peer marketplace for consumer goods and services," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 633-665, August.
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