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Robert L. Axtell

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Robert L. Axtell & Omar A. Guerrero & Eduardo L'opez, 2019. "Frictional Unemployment on Labor Flow Networks," Papers 1903.04954, arXiv.org.

    Cited by:

    1. J. M. Applegate & Marco A. Janssen, 2022. "Job Mobility and Wealth Inequality," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 1-25, January.
    2. Kushal K. Reddy & Vipin P. Veetil, 2023. "Business cycles and the internal dynamics of firms," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 36(1), pages 43-60, March.
    3. Georg Jäger & Laura S. Zilian & Christian Hofer & Manfred Füllsack, 2019. "Crowdworking: working with or against the crowd?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 761-788, December.
    4. Jiaqi Ge & Bernardo Alves Furtado, 2024. "Modelling urban transition with coupled housing and labour markets," Environment and Planning B, , vol. 51(3), pages 590-609, March.
    5. Kathyrn R. Fair & Omar A. Guerrero, 2023. "Endogenous Labour Flow Networks," Papers 2301.07979, arXiv.org, revised Mar 2023.
    6. Vipin P. Veetil, 2021. "Schumpeter’s business cycle theory and the diversification argument," Evolutionary and Institutional Economics Review, Springer, vol. 18(1), pages 273-288, April.

  2. Axtell, Robert L. & Guerrero, Omar A. & López, Eduardo, 2016. "The Network Composition of Aggregate Unemployment," MPRA Paper 68962, University Library of Munich, Germany.

    Cited by:

    1. Guerrero, Omar A. & López, Eduardo, 2015. "Firm-to-firm labor flows and the aggregate matching function: A network-based test using employer–employee matched records," Economics Letters, Elsevier, vol. 136(C), pages 9-12.

  3. John Geanakoplos & Robert Axtell & Doyne J. Farmer & Peter Howitt & Benjamin Conlee & Jonathan Goldstein & Matthew Hendrey & Nathan M. Palmer & Chun-Yi Yang, 2012. "Getting at Systemic Risk via an Agent-Based Model of the Housing Market," Cowles Foundation Discussion Papers 1852, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Wilko Bolt & Maria Demertzis & Cees Diks & Cars Hommes & Marco van der Leij, 2014. "Identifying Booms and Busts in House Prices under Heterogeneous Expectations," European Economy - Economic Papers 2008 - 2015 540, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    2. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    3. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    4. Molood Ale Ebrahim Dehkordi & Amineh Ghorbani & Giangiacomo Bravo & Mike Farjam & René van Weeren & Anders Forsman & Tine De Moor, 2021. "Long-Term Dynamics of Institutions: Using ABM as a Complementary Tool to Support Theory Development in Historical Studies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 24(4), pages 1-7.
    5. Nicoletta Batini & Mr. Giovanni Melina & Stefania Villa, 2016. "Fiscal Buffers, Private Debt, and Stagnation: The Good, the Bad and the Ugly," IMF Working Papers 2016/104, International Monetary Fund.
    6. Battiston Stefano & Caldarelli Guido & D’Errico Marco & Gurciullo Stefano, 2016. "Leveraging the network: A stress-test framework based on DebtRank," Statistics & Risk Modeling, De Gruyter, vol. 33(3-4), pages 117-138, December.
    7. Zhangqi Zhong & Lingyun He, 2022. "Macro-Regional Economic Structural Change Driven by Micro-founded Technological Innovation Diffusion: An Agent-Based Computational Economic Modeling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 471-525, February.
    8. Frank McGroarty & Ash Booth & Enrico Gerding & V. L. Raju Chinthalapati, 2019. "High frequency trading strategies, market fragility and price spikes: an agent based model perspective," Annals of Operations Research, Springer, vol. 282(1), pages 217-244, November.
    9. Magliocca, Nicholas & McConnell, Virginia & Walls, Margaret, 2015. "Exploring sprawl: Results from an economic agent-based model of land and housing markets," Ecological Economics, Elsevier, vol. 113(C), pages 114-125.
    10. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    11. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Post-Print hal-03399574, HAL.
    12. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    13. Cardaci, Alberto, 2018. "Inequality, household debt and financial instability: An agent-based perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 434-458.
    14. Erlingsson, Einar Jon & Cincotti, Silvano & Stefansson, Hlynur & Sturlusson, Jon Thor & Teglio, Andrea & Raberto, Marco, 2013. "Housing market bubbles and business cycles in an agent-based credit economy," Economics Discussion Papers 2013-32, Kiel Institute for the World Economy (IfW Kiel).
    15. Chiang, Shu-hen & Chen, Chien-Fu, 2022. "From systematic to systemic risk among G7 members: Do the stock or real estate markets matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    16. Strohsal, Till & Proaño, Christian R. & Wolters, Jürgen, 2015. "Characterizing the Financial Cycle: Evidence from a Frequency Domain Analysis," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113143, Verein für Socialpolitik / German Economic Association.
    17. Miguel Angel Iraola & Juan Pablo Torres-Martinez, 2012. "Liquidity Contractions and Prepayment Risk on Collateralized Asset Markets," Working Papers 1204, Centro de Investigacion Economica, ITAM.
    18. Robert L. Axtell & Omar A. Guerrero & Eduardo L'opez, 2019. "Frictional Unemployment on Labor Flow Networks," Papers 1903.04954, arXiv.org.
    19. Batini, Nicoletta & Melina, Giovanni & Villa, Stefania, 2019. "Fiscal buffers, private debt, and recession: The good, the bad and the ugly," Journal of Macroeconomics, Elsevier, vol. 62(C).
    20. Neuberger, Doris & Rissi, Roger, 2012. "Macroprudential banking regulation: Does one size fit all?," Thuenen-Series of Applied Economic Theory 124, University of Rostock, Institute of Economics.
    21. Bernardo Alves Furtado, 2022. "PolicySpace2: Modeling Markets and Endogenous Public Policies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(1), pages 1-8.
    22. John Muellbauer, 2016. "Macroeconomics and Consumption," Economics Series Working Papers Paper-811, University of Oxford, Department of Economics.
    23. Farmer, J. Doyne & Carro, Adrian & Hinterschweiger, Marc & Uluc, Arzu, 2022. "Heterogeneous Effects and Spillovers of Macroprudential Policy in an Agent-Based Model of the UK Housing Market," INET Oxford Working Papers 2022-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    24. Yun Liu, 2022. "Housing and monetary policy: Fresh evidence from China," Financial Economics Letters, Anser Press, vol. 1(1), pages 1-12, December.
    25. Papadopoulos, Georgios, 2019. "Income inequality, consumption, credit and credit risk in a data-driven agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 104(C), pages 39-73.
    26. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Fiscal and monetary policies in complex evolving economies," Working Papers hal-03460560, HAL.
    27. Bardoscia, Marco & Carro, Adrian & Hinterschweiger, Marc & Napoletano, Mauro & Popoyan, Lilit & Roventini, Andrea & Uluc, Arzu, 2024. "The impact of prudential regulations on the UK housing market and economy: insights from an agent-based model," Bank of England working papers 1066, Bank of England.
    28. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    29. Martin Guzman & Peter Howitt, 2015. "Learning, Expectations, and the Financial Instability Hypothesis," Working Papers Series 33, Institute for New Economic Thinking.
    30. Timothy C Haas & Sam M Ferreira, 2016. "Combating Rhino Horn Trafficking: The Need to Disrupt Criminal Networks," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-26, November.
    31. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    32. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    33. D. Sornette, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based models," Papers 1404.0243, arXiv.org.
    34. Axtell, Robert L. & Guerrero, Omar A. & López, Eduardo, 2016. "The Network Composition of Aggregate Unemployment," MPRA Paper 68962, University Library of Munich, Germany.
    35. Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco & Bouchaud, Jean-Philippe, 2015. "Tipping points in macroeconomic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 29-61.
    36. Antoine Mandel & Simone Landini & Mauro Gallegati & Herbert Gintis, 2015. "Price dynamics, financial fragility and aggregate volatility," PSE-Ecole d'économie de Paris (Postprint) halshs-01152302, HAL.
    37. Didier SORNETTE, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based Models," Swiss Finance Institute Research Paper Series 14-25, Swiss Finance Institute.
    38. Burgess, Matthew G. & Carrella, Ernesto & Drexler, Michael & Axtell, Robert L. & Bailey, Richard M. & Watson, James R. & Cabral, Reniel B. & Clemence, Michaela & Costello, Christopher & Dorsett, Chris, 2018. "Opportunities for agent-based modeling in human dimensions of fisheries," SocArXiv gzhm5, Center for Open Science.
    39. Gräbner, Claudius, 2015. "Formal Approaches to Socio Economic Policy Analysis - Past and Perspectives," MPRA Paper 61348, University Library of Munich, Germany.
    40. Jiaqi Ge & Bernardo Alves Furtado, 2024. "Modelling urban transition with coupled housing and labour markets," Environment and Planning B, , vol. 51(3), pages 590-609, March.
    41. Yang, Xiaoliang & Zhou, Peng, 2022. "Wealth inequality and social mobility: A simulation-based modelling approach," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 307-329.
    42. Benjamin Patrick Evans & Kirill Glavatskiy & Michael S. Harré & Mikhail Prokopenko, 2023. "The impact of social influence in Australian real estate: market forecasting with a spatial agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(1), pages 5-57, January.
    43. Canepa, Alessandra & Alqaralleh, Huthaifa, 2019. "Housing Market Cycles in Large Urban Areas," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201903, University of Turin.
    44. Baptista, Rafa & Farmer, J. Doyne & Hinterschweiger, Marc & Low, Katie & Tang, Daniel & Uluc, Arzu, 2016. "Macroprudential policy in an agent-based model of the UK housing market," Bank of England working papers 619, Bank of England.
    45. Viehmann, Johannes & Lorenczik, Stefan & Malischek, Raimund, 2021. "Multi-unit multiple bid auctions in balancing markets: An agent-based Q-learning approach," Energy Economics, Elsevier, vol. 93(C).
    46. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harré, 2021. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large-scale agent-based model," SN Business & Economics, Springer, vol. 1(6), pages 1-21, June.
    47. Dimitrios Laliotis & Alejandro Buesa & Miha Leber & Javier Población, 2020. "An agent-based model for the assessment of LTV caps," Quantitative Finance, Taylor & Francis Journals, vol. 20(10), pages 1721-1748, October.
    48. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    49. Trond G. Husby & Elco E. Koks, 2017. "Household migration in disaster impact analysis: incorporating behavioural responses to risk," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(1), pages 287-305, May.
    50. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    51. Gao, Lin, 2017. "Between Trust and Performance: Exploring Socio-Economic Mechanisms on Directed Weighted Regular Ring with Agent-Based Modeling," MPRA Paper 78428, University Library of Munich, Germany.
    52. Gross, Marco & Población, Javier, 2017. "Assessing the efficacy of borrower-based macroprudential policy using an integrated micro-macro model for European households," Economic Modelling, Elsevier, vol. 61(C), pages 510-528.
    53. Yifei Wu & Jeffrey H Dorfman, 2018. "Reducing residential mortgage default: Should policy act before or after home purchases?," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-23, July.
    54. Corrado Monti & Marco Pangallo & Gianmarco De Francisci Morales & Francesco Bonchi, 2022. "On learning agent-based models from data," Papers 2205.05052, arXiv.org, revised Nov 2022.
    55. Dag Einar Sommervoll & Jan de Haan, 2014. "Homes and Castles: Should We Care about Idiosyncratic Risk?," Land Economics, University of Wisconsin Press, vol. 90(4), pages 700-716.
    56. Rick Bookstaber & Mark Paddrik & Brian Tivnan, 2014. "An Agent-based Model for Financial Vulnerability," Working Papers 14-05, Office of Financial Research, US Department of the Treasury, revised Sep 2014.
    57. Opeoluwa Banwo & Paul Harrald & Francesca Medda, 2019. "Understanding the consequences of diversification on financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 273-292, June.
    58. Adrian Carro, 2022. "Could Spain be less different? Exploring the effects of macroprudential policy on the house price cycle," Working Papers 2230, Banco de España.
    59. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    60. Roy Kouwenberg & Remco C J Zwinkels, 2015. "Endogenous Price Bubbles in a Multi-Agent System of the Housing Market," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-10, June.
    61. Marco Pangallo & Jean Pierre Nadal & Annick Vignes, 2016. "Residential income segregation: A behavioral model of the housing market," Papers 1606.00424, arXiv.org, revised Oct 2018.
    62. Thomas Ankenbrand & Fabian Kostadinov & Faten Ben Bouheni & Mondher Bellalah, 2020. "Cyclical behaviour of the Swiss real estate market," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 39(1/2), pages 71-99.
    63. Hanappi, Hardy, 2017. "Agent-based modelling. History, essence, future," MPRA Paper 79331, University Library of Munich, Germany.
    64. Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harre, 2020. "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large scale agent-based model," Papers 2004.07571, arXiv.org.
    65. Dieci, Roberto & Westerhoff, Frank, 2016. "Heterogeneous expectations, boom-bust housing cycles, and supply conditions: A nonlinear economic dynamics approach," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 21-44.
    66. Lilit Popoyan, 2020. "Macroprudential Policy: a Blessing or a Curse?," Review of Economics and Institutions, Università di Perugia, vol. 11(1-2).
    67. Alperen Bektas & Valentino Piana & René Schumann, 2021. "A meso-level empirical validation approach for agent-based computational economic models drawing on micro-data: a use case with a mobility mode-choice model," SN Business & Economics, Springer, vol. 1(6), pages 1-25, June.
    68. Lo Andrew W., 2019. "The Visible Hand," Accounting, Economics, and Law: A Convivium, De Gruyter, vol. 9(3), pages 1-5, December.
    69. Ge, Jiaqi, 2014. "Stepping into new territory: Three essays on agent-based computational economics and environmental economics," ISU General Staff Papers 201401010800004899, Iowa State University, Department of Economics.
    70. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.
    71. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    72. Carro, Adrian, 2023. "Taming the housing roller coaster: The impact of macroprudential policy on the house price cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 156(C).
    73. Filandri, Marianna & Pasqua, Silvia & Priori, Eleonora, 2023. "Breaking through the glass ceiling. Simulating policies to close the gender gap in the Italian academia," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    74. Viehmann, Johannes & Lorenczik, Stefan & Malischek, Raimund, 2018. "Multi-unit multiple bid auctions in balancing markets: an agent-based Q-learning approach," EWI Working Papers 2018-3, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    75. Michael S. Harr'e, 2018. "Multi-agent Economics and the Emergence of Critical Markets," Papers 1809.01332, arXiv.org.
    76. Dieci, Roberto & Westerhoff, Frank, 2015. "Heterogeneous expectations, boom-bust housing cycles, and supply conditions: A nonlinear dynamics approach," BERG Working Paper Series 99, Bamberg University, Bamberg Economic Research Group.
    77. Vipin P. Veetil & Lawrence H. White, 2017. "Towards a New Austrian Macroeconomics," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(1), pages 19-38, March.
    78. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    79. Nicolas Cofre & Magdalena Mosionek-Schweda, 2023. "A simulated electronic market with speculative behaviour and bubble formation," Papers 2311.12247, arXiv.org.
    80. Gao, Lin, 2016. "Trust and Performance: Exploring Socio-Economic Mechanisms in the “Deep” Network Structure with Agent-Based Modeling," MPRA Paper 75214, University Library of Munich, Germany.
    81. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.

  4. Robert Axtell and Richard Florida, 2001. "Emergent Cities: A Microeconomic Explanation for Zipf's Law," Computing in Economics and Finance 2001 154, Society for Computational Economics.

    Cited by:

    1. Christophe Schinckus & Çınla Akdere, 2015. "Towards a New Way of Teaching Statistics in Economics: The Case for Econophysics," Ekonomi-tek - International Economics Journal, Turkish Economic Association, vol. 4(3), pages 89-108, September.
    2. Mark Lorenzen & Kristina Vaarst Andersen, 2007. "The Geography of the European Creative Class A Rank-Size Analysis," DRUID Working Papers 07-17, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    3. Cuberes David, 2009. "A Model of Sequential City Growth," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-41, May.
    4. Claes Andersson & Koen Frenken & Alexander Hellervik, 2006. "A Complex Network Approach to Urban Growth," Environment and Planning A, , vol. 38(10), pages 1941-1964, October.
    5. Gaujal, Bruno & Gulyas, Laszlo & Mansury, Yuri & Thierry, Eric, 2014. "Validating an agent-based model of the Zipf׳s Law: A discrete Markov-chain approach," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 38-49.
    6. Soo, Kwok Tong, 2005. "Zipf's Law for cities: a cross-country investigation," Regional Science and Urban Economics, Elsevier, vol. 35(3), pages 239-263, May.
    7. Gabaix, Xavier & Ioannides, Yannis M., 2004. "The evolution of city size distributions," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 53, pages 2341-2378, Elsevier.
    8. Tomaz Ponce Dentinho, 2017. "Urban Concentration and Spatial Allocation of Rents from natural resources. A Zipf's Curve Approach," REGION, European Regional Science Association, vol. 4, pages 77-86.

  5. Axtell, R. & Epstein, J.M. & Young, H.P., 2000. "The Emergence of Classes in a Multi-Agent Bargaining Model," Papers 9, Brookings Institution - Working Papers.

    Cited by:

    1. Oliveira, Fernando S., 2023. "The emergence of social inequality: A Co-Evolutionary analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 192-206.
    2. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    3. Bill Gibson, 2008. "Keynesian And Neoclassical Closures In An Agent-Based Context," UMASS Amherst Economics Working Papers 2008-03, University of Massachusetts Amherst, Department of Economics.
    4. U. Garibaldi & E. Scalas & P. Viarengo, 2007. "Statistical equilibrium in simple exchange games II. The redistribution game," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 60(2), pages 241-246, November.
    5. Calvin Cochran & Cailin O’Connor, 2019. "Inequality and inequity in the emergence of conventions," Politics, Philosophy & Economics, , vol. 18(3), pages 264-281, August.
    6. Yves Saillard, 2004. "L'analyse économique des normes : représentation et traitement des interactions dans les modèles de simulation," Post-Print halshs-00104866, HAL.
    7. Andreozzi, Luciano, 2010. "An evolutionary theory of social justice: Choosing the right game," European Journal of Political Economy, Elsevier, vol. 26(3), pages 320-329, September.
    8. Levy, David M. & Makowsky, Michael D., 2010. "Price dispersion and increasing returns to scale," Journal of Economic Behavior & Organization, Elsevier, vol. 73(3), pages 406-417, March.
    9. Boris Salazar, 2001. "¿Qué tan racional es el principio de racionalidad de Popper?," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 3(5), pages 52-77, July-Dece.
    10. Bill Gibson, 2007. "A Multi-Agent Systems Approach to Microeconomic Foundations of Macro," UMASS Amherst Economics Working Papers 2007-10, University of Massachusetts Amherst, Department of Economics.
    11. Jean Louis Dessalles & Denis Phan, 2005. "Emergence in multi-agent systems:Cognitive hierarchy, detection, and complexity reduction," Computing in Economics and Finance 2005 257, Society for Computational Economics.

  6. Robert L. Axtell, 2000. "Effect of Interaction Topology and Activation Regime in Several Multi-Agent Systems," Working Papers 00-07-039, Santa Fe Institute.

    Cited by:

    1. Jacques Laye & Charis Lina & Herve Tanguy, 2006. "E-consumers' search and emerging structure of B-to-C coalitions," Computing in Economics and Finance 2006 374, Society for Computational Economics.
    2. Denis Phan & Stephane Pajot & Jean-Pierre Nadal, 2003. "The Monopolist's Market with Discrete Choices and Network Externality Revisited: Small-Worlds, Phase Transition and Avalanches in an ACE Framework," Computing in Economics and Finance 2003 150, Society for Computational Economics.
    3. Paul L. Borrill & Leigh Tesfatsion, 2011. "Agent-based Modeling: The Right Mathematics for the Social Sciences?," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 11, Edward Elgar Publishing.
    4. Yves Saillard, 2004. "L'analyse économique des normes : représentation et traitement des interactions dans les modèles de simulation," Post-Print halshs-00104866, HAL.
    5. van der Hoog, Sander, 2008. "On the disequilibrium dynamics of sequential monetary economies," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 525-552, December.
    6. Merenda, João V.B.S. & Bruno, Odemir M., 2023. "Using deterministic self-avoiding walks as a small-world metric on Watts–Strogatz networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 621(C).
    7. Levy, David M. & Makowsky, Michael D., 2010. "Price dispersion and increasing returns to scale," Journal of Economic Behavior & Organization, Elsevier, vol. 73(3), pages 406-417, March.

  7. Rob Axtell, 1999. "The Complexity of Exchange," Computing in Economics and Finance 1999 211, Society for Computational Economics.

    Cited by:

    1. Ghosal, Sayantan & Porter, James, 2010. "Out-Of-Equilibrium Dynamics With Decentralized Exchange: Cautious Trading And Convergence To Efficiency," Economic Research Papers 271179, University of Warwick - Department of Economics.
    2. Ennio Bilancini & Fabio Petri, 2008. "The Dynamics of General Equilibrium: A Comment on Professor Gintis," Department of Economics University of Siena 538, Department of Economics, University of Siena.
    3. Magliocca, Nicholas & McConnell, Virginia & Walls, Margaret, 2015. "Exploring sprawl: Results from an economic agent-based model of land and housing markets," Ecological Economics, Elsevier, vol. 113(C), pages 114-125.
    4. Magliocca, Nicholas & McConnell, Virginia & Walls, Margaret & Safirova, Elena, 2012. "Zoning on the urban fringe: Results from a new approach to modeling land and housing markets," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 198-210.
    5. Gräbner, Claudius, 2015. "Methodology Does Matter: About Implicit Assumptions in Applied Formal Modelling. The case of Dynamic Stochastic General Equilibrium Models vs Agent-Based Models," MPRA Paper 63003, University Library of Munich, Germany.
    6. Klaus Jaffe, 2015. "Agent based simulations visualize Adam Smith's invisible hand by solving Friedrich Hayek's Economic Calculus," Papers 1509.04264, arXiv.org, revised Nov 2015.
    7. Held, Fabian P. & Wilkinson, Ian F. & Marks, Robert E. & Young, Louise, 2014. "Agent-based Modelling, a new kind of research," Australasian marketing journal, Elsevier, vol. 22(1), pages 4-14.
    8. Stefano Nasini & Jordi Castro & Pau Fonseca i Casas, 2014. "Bartering integer commodities with exogenous prices," Papers 1401.3145, arXiv.org, revised Aug 2015.
    9. Antonelli, Cristiano & Ferraris, Gianluigi, 2017. "The Creative Response and the Endogenous Dynamics of Pecuniary Knowledge Externalities: An Agent Based Simulation Model," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201708, University of Turin.
    10. Tongkui Yu & Shu-Heng Chen, 2021. "Realizable Utility Maximization as a Mechanism for the Stability of Competitive General Equilibrium in a Scarf Economy," Computational Economics, Springer;Society for Computational Economics, vol. 58(1), pages 133-167, June.
    11. Schnizler, Björn & Neumann, Dirk & Veit, Daniel & Napoletano, Mauro & Catalano, Michele & Gallegati, Mauro & Reinicke, Michael & Streitberger, Werner & Eymann, Torsten, 2005. "Environmental analysis for application layer networks," Bayreuth Reports on Information Systems Management 1, University of Bayreuth, Chair of Information Systems Management.
    12. Tatiana Filatova & Dawn C. Parker & Anne van der Veen, 2009. "Agent-Based Urban Land Markets: Agent's Pricing Behavior, Land Prices and Urban Land Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-3.
    13. Teppo Felin & Stuart Kauffman & Roger Koppl & Giuseppe Longo, 2014. "Economic Opportunity and Evolution: Beyond Landscapes and Bounded Rationality," Post-Print hal-01415115, HAL.
    14. Julian Wells, Julian, 2007. "The rate of profit as a random variable," MPRA Paper 98235, University Library of Munich, Germany.
    15. Yanlong Zhang & Wolfram Elsner, 2020. "Social leverage, a core mechanism of cooperation. Locality, assortment, and network evolution," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 867-889, July.
    16. Yuji Aruka, 2020. "The evolution of the exchange process: from the decentralized to the distributed digital exchange," Evolutionary and Institutional Economics Review, Springer, vol. 17(2), pages 379-398, July.
    17. 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.
    18. Edoardo Gaffeo & Mauro Gallegati & Umberto Gostoli, 2012. "An agent-based "proof of principle" for Walrasian macroeconomic theory," CEEL Working Papers 1202, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    19. Koppl, Roger, 2010. "Some epistemological implications of economic complexity," Journal of Economic Behavior & Organization, Elsevier, vol. 76(3), pages 859-872, December.
    20. James Lee Caton, 2019. "Creativity in a theory of entrepreneurship," Journal of Entrepreneurship and Public Policy, Emerald Group Publishing Limited, vol. 8(4), pages 442-469, September.
    21. Mitoko, Jeremiah, 2021. "Economics of Microcredit-From current crisis to new possibilities," MPRA Paper 108392, University Library of Munich, Germany.
    22. Christopher J. Coyne & Vipin P. Veetil, 2016. "Learning as an emergent, creative process," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 29(4), pages 415-428, December.
    23. J. Barkley Rosser & Marina V. Rosser, 2017. "Complexity and institutional evolution," Evolutionary and Institutional Economics Review, Springer, vol. 14(2), pages 415-430, December.
    24. Rianne Duinen & Tatiana Filatova & Wander Jager & Anne Veen, 2016. "Going beyond perfect rationality: drought risk, economic choices and the influence of social networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(2), pages 335-369, November.
    25. van der Hoog, Sander, 2008. "On the disequilibrium dynamics of sequential monetary economies," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 525-552, December.
    26. Luzius Meisser & C. Friedrich Kreuser, 2017. "An Agent-Based Simulation of the Stolper–Samuelson Effect," Computational Economics, Springer;Society for Computational Economics, vol. 50(4), pages 533-547, December.
    27. Ennio Bilancini & Fabio Petri, 2008. "A Comment On Gintis's "The Dynamics of General Equilibrium"," Economics Bulletin, AccessEcon, vol. 2(3), pages 1-7.
    28. Koen de Koning & Tatiana Filatova & Okmyung Bin, 2019. "Capitalization of Flood Insurance and Risk Perceptions in Housing Prices: An Empirical Agent‐Based Model Approach," Southern Economic Journal, John Wiley & Sons, vol. 85(4), pages 1159-1179, April.
    29. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
    30. Santiago J. Gangotena, 2017. "Dynamic coordinating non-equilibrium," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(1), pages 51-82, March.
    31. Gräbner, Claudius & Heinrich, Torsten & Kudic, Muhamed, 2016. "Structuration processes in complex dynamic systems - an overview and reassessment," MPRA Paper 69095, University Library of Munich, Germany.
    32. Kirman, Alan & Markose, Sheri & Giansante, Simone & Pin, Paolo, 2007. "Marginal contribution, reciprocity and equity in segregated groups: Bounded rationality and self-organization in social networks," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2085-2107, June.
    33. Paola Tubaro, 2009. "Agent-based Computational Economics: a Methodological Appraisal," EconomiX Working Papers 2009-42, University of Paris Nanterre, EconomiX.
    34. Robert Axtell, 2007. "What economic agents do: How cognition and interaction lead to emergence and complexity," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 20(2), pages 105-122, September.
    35. Shu-Heng Chen & Bin-Tzong Chie & Ying-Fang Kao & Ragupathy Venkatachalam, 2019. "Agent-Based Modeling of a Non-tâtonnement Process for the Scarf Economy: The Role of Learning," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 305-341, June.
    36. Tatiana Filatova & Anne Van Der Veen & Dawn C. Parker, 2009. "Land Market Interactions between Heterogeneous Agents in a Heterogeneous Landscape—Tracing the Macro‐Scale Effects of Individual Trade‐Offs between Environmental Amenities and Disamenities," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(4), pages 431-457, December.
    37. Asjad Naqvi & Franziska Gaupp & Stefan Hochrainer-Stigler, 2020. "The risk and consequences of multiple breadbasket failures: an integrated copula and multilayer agent-based modeling approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 727-754, September.
    38. Piotr Dworczak, 2021. "Deferred Acceptance with Compensation Chains," Operations Research, INFORMS, vol. 69(2), pages 456-468, March.
    39. James Caton, 2017. "Entrepreneurship, search costs, and ecological rationality in an agent-based economy," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(1), pages 107-130, March.
    40. Claudius Gräbner & Catherine S. E. Bale & Bernardo Alves Furtado & Brais Alvarez-Pereira & James E. Gentile & Heath Henderson & Francesca Lipari, 2019. "Getting the Best of Both Worlds? Developing Complementary Equation-Based and Agent-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 763-782, February.
    41. K. Vela Velupillai, 2007. "Variations On The Theme Of Conning In Mathematical Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 21(3), pages 466-505, July.
    42. Ozge Dilaver & Nigel Gilbert, 2023. "Unpacking a Black Box: A Conceptual Anatomy Framework for Agent-Based Social Simulation Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 26(1), pages 1-4.
    43. Roberto Cazzolla Gatti & Roger Koppl & Brian D. Fath & Stuart Kauffman & Wim Hordijk & Robert E. Ulanowicz, 2020. "On the emergence of ecological and economic niches," Journal of Bioeconomics, Springer, vol. 22(2), pages 99-127, July.
    44. Klaus Jaffé, 2017. "The “Invisible Hand” of Economic Markets Can Be Visualized through the Synergy Created by Division of Labor," Complexity, Hindawi, vol. 2017, pages 1-10, December.
    45. K. Vela Velupillai, 2007. "Variations on the Theme of Conning in Mathematical Economics," Department of Economics Working Papers 0703, Department of Economics, University of Trento, Italia.
    46. Klaus Jaffé, 2015. "Visualizing the Invisible Hand of Markets: Simulating Complex Dynamic Economic Interactions," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(2), pages 115-132, April.
    47. Vipin P. Veetil & Lawrence H. White, 2017. "Towards a New Austrian Macroeconomics," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(1), pages 19-38, March.
    48. Chandra, Yanto & Wilkinson, Ian F., 2017. "Firm internationalization from a network-centric complex-systems perspective," Journal of World Business, Elsevier, vol. 52(5), pages 691-701.
    49. Ghosal, Sayantan & Porter, James, 2013. "Decentralised exchange, out-of-equilibrium dynamics and convergence to efficiency," Mathematical Social Sciences, Elsevier, vol. 66(1), pages 1-21.
    50. 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.

  8. Robert Axtell, 1999. "The Emergence of Firms in a Population of Agents," Working Papers 99-03-019, Santa Fe Institute.

    Cited by:

    1. Jacques Laye & Charis Lina & Herve Tanguy, 2006. "E-consumers' search and emerging structure of B-to-C coalitions," Computing in Economics and Finance 2006 374, Society for Computational Economics.
    2. Chang, Myong-Hun & Harrington, Joseph Jr., 2006. "Agent-Based Models of Organizations," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 26, pages 1273-1337, Elsevier.
    3. Growiec, Jakub, 2010. "Knife-edge conditions in the modeling of long-run growth regularities," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 1143-1154, December.
    4. Wright, Ian, 2005. "The social architecture of capitalism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 346(3), pages 589-620.
    5. Ying Fan & Menghui Li & Zengru Di, 2004. "Increasing Returns to Scale, Dynamics of Industrial Structure and Size Distribution of Firms," Papers cond-mat/0407383, arXiv.org.
    6. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
    7. Smith, David M.D. & Johnson, Neil F., 2006. "Pair formation within multi-agent populations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(1), pages 151-158.
    8. Peter Marko & Petr Svarc, 2008. "Firms formation and growth in the model with heterogeneous agents and monitoring," Working Papers IES 2008/31, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2008.
    9. Bill Gibson, 2008. "Keynesian And Neoclassical Closures In An Agent-Based Context," UMASS Amherst Economics Working Papers 2008-03, University of Massachusetts Amherst, Department of Economics.
    10. Buldyrev, Sergey V. & Salinger, Michael A. & Stanley, H. Eugene, 2016. "A statistical physics implementation of Coase׳s theory of the firm," Research in Economics, Elsevier, vol. 70(4), pages 536-557.
    11. Veetil, Vipin P. & Wagner, Richard E., 2018. "Nominal GDP stabilization: Chasing a mirage," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 227-236.
    12. Joshua M. Epstein, 2007. "Agent-Based Computational Models and Generative Social Science," Introductory Chapters, in: Generative Social Science Studies in Agent-Based Computational Modeling, Princeton University Press.
    13. Klos, Tomas B., 1999. "Governance and matching," Research Report 99B41, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    14. Staffan Canback & Phillip Samouel & David Price, 2003. "Strategy and structure in interaction: What determines the boundaries of the firm?," Industrial Organization 0303003, University Library of Munich, Germany, revised 17 Mar 2003.
    15. Edoardo Mollona, 2008. "Computer simulation in social sciences," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 12(2), pages 205-211, May.
    16. U. Garibaldi & D. Costantini & S. Donadio & P. Viarengo, 2006. "Herding and Clustering in Economics: The Yule-Zipf-Simon Model," Computational Economics, Springer;Society for Computational Economics, vol. 27(1), pages 115-134, February.
    17. Kathyrn R. Fair & Omar A. Guerrero, 2023. "Endogenous Labour Flow Networks," Papers 2301.07979, arXiv.org, revised Mar 2023.
    18. de Vany, Arthur & Kim, Cassey Lee Hong, 2003. "Stochastic Market Structure: Concentration Measures and Motion Picture Antitrust," Centre on Regulation and Competition (CRC) Working papers 30701, University of Manchester, Institute for Development Policy and Management (IDPM).
    19. Staffan Canback, 1998. "Managerial diseconomies of scale: Literature survey and hypotheses anchored in transaction cost economics," Industrial Organization 9810001, University Library of Munich, Germany, revised 04 Oct 2002.
    20. Mark Setterfield & Bill Gibson, 2013. "Real and financial crises: A multi-agent approach," Working Papers 1309, Trinity College, Department of Economics, revised Jul 2014.
    21. Bill Gibson, 2007. "A Multi-Agent Systems Approach to Microeconomic Foundations of Macro," UMASS Amherst Economics Working Papers 2007-10, University of Massachusetts Amherst, Department of Economics.
    22. Myong-Hun Chang, 2009. "Industry dynamics with knowledge-based competition: a computational study of entry and exit patterns," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(1), pages 73-114, June.
    23. Francesco Pasimeni & Tommaso Ciarli, 2018. "Diffusion of Shared Goods in Consumer Coalitions. An Agent-Based Model," SPRU Working Paper Series 2018-24, SPRU - Science Policy Research Unit, University of Sussex Business School.
    24. Edoardo Mollona & David Hales, 2006. "Knowledge-Based Jobs and the Boundaries of Firms Agent-based Simulation of Firms Learning and Workforce Skill Set Dynamics," Computational Economics, Springer;Society for Computational Economics, vol. 27(1), pages 35-62, February.
    25. Ge, Jiaqi, 2014. "Stepping into new territory: Three essays on agent-based computational economics and environmental economics," ISU General Staff Papers 201401010800004899, Iowa State University, Department of Economics.
    26. Robert L. Axtell, 2000. "Effect of Interaction Topology and Activation Regime in Several Multi-Agent Systems," Working Papers 00-07-039, Santa Fe Institute.

  9. Jeffrey S. Dean & George J. Gumerman & Joshua M. Epstein & Robert Axtell & Alan C. Swedlund & Miles T. Parker & Steven McCarroll, 1998. "Understanding Anasazi Culture Change Through Agent-Based Modeling," Working Papers 98-10-094, Santa Fe Institute.

    Cited by:

    1. Joshua M. Epstein, 2007. "Agent-Based Computational Models and Generative Social Science," Introductory Chapters, in: Generative Social Science Studies in Agent-Based Computational Modeling, Princeton University Press.

  10. Robert Axtell & Robert Axelrod & Joshua M. Epstein & Michael D. Cohen, 1995. "Aligning Simulation Models: A Case Study and Results," Working Papers 95-07-065, Santa Fe Institute.

    Cited by:

    1. Carl Chiarella & Corrado Di Guilmi, 2010. "The Financial Instability Hypothesis: A Stochastic Microfoundation Framework," Research Paper Series 273, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Uri Wilensky & William Rand, 2007. "Making Models Match: Replicating an Agent-Based Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(4), pages 1-2.
    3. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    4. Richard Bookstaber, 2012. "Using Agent-Based Models for Analyzing Threats to Financial Stability," Working Papers 12-03, Office of Financial Research, US Department of the Treasury.
    5. Franke, R., 2001. "Wave trains, innovation noise, and long waves," Journal of Economic Behavior & Organization, Elsevier, vol. 45(1), pages 49-68, May.
    6. Magda Fontana, 2006. "Computer simulations, mathematics and economics," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 53(1), pages 96-123, March.
    7. Ferraris Gianluigi & Fontana Magda, 2006. "Managing Knowledge in Agent-based Models: Theoretical and Methodological Issues," Department of Economics and Statistics Cognetti de Martiis. Working Papers 200603, University of Turin.
    8. Hazhir Rahmandad & John Sterman, 2008. "Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models," Management Science, INFORMS, vol. 54(5), pages 998-1014, May.
    9. Richard Bookstaber & Michael D. Foley & Brian F. Tivnan, 2015. "Market Liquidity and Heterogeneity in the Investor Decision Cycle," Working Papers 15-03, Office of Financial Research, US Department of the Treasury.
    10. Bianchi, Carlo & Cirillo, Pasquale & Gallegati, Mauro & Vagliasindi, Pietro A., 2008. "Validation in agent-based models: An investigation on the CATS model," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 947-964, September.
    11. Pasquale Cirillo & Carlo Bianchi & Mauro Gallegati & Pietro Vagliasindi, 2006. "Validating and Calibrating Agent-based Models: a Case Study," Computing in Economics and Finance 2006 277, Society for Computational Economics.
    12. Keiki Takadama & Tetsuro Kawai & Yuhsuke Koyama, 2008. "Micro- and Macro-Level Validation in Agent-Based Simulation: Reproduction of Human-Like Behaviors and Thinking in a Sequential Bargaining Game," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-9.
    13. Joshua M. Epstein, 2007. "Agent-Based Computational Models and Generative Social Science," Introductory Chapters, in: Generative Social Science Studies in Agent-Based Computational Modeling, Princeton University Press.
    14. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    15. Radax, Wolfgang & Rengs, Bernhard, 2009. "Replication of the Demographic Prisoner’s Dilemma," MPRA Paper 14419, University Library of Munich, Germany.
    16. Edgardo Bucciarelli & Marcello Silvestri, 2013. "Hyman P. Minsky's unorthodox approach: recent advances in simulation techniques to develop his theoretical assumptions," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 36(2), pages 299-324.
    17. Laciana, Carlos E. & Rovere, Santiago L. & Podestá, Guillermo P., 2013. "Exploring associations between micro-level models of innovation diffusion and emerging macro-level adoption patterns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(8), pages 1873-1884.
    18. Brian Tivnan & Matthew Koehler & Matthew McMahon & Matthew Olson & Neal Rothleder & Rajani Shenoy, 2011. "Adding to the Regulator's Toolbox: Integration and Extension of Two Leading Market Models," Papers 1105.5439, arXiv.org.
    19. J. Gareth Polhill & Dawn C. Parker & Daniel Brown & Volker Grimm, 2008. "Using the ODD Protocol for Describing Three Agent-Based Social Simulation Models of Land-Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-3.
    20. Frans Prenkert, 2012. "Business Network Simulation: Combining Research Cases and Agent-Based Models in a Robust Methodology," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 3(6), pages 82-92, November.
    21. Janssen, Marco A., 2007. "Coordination in irrigation systems: An analysis of the Lansing-Kremer model of Bali," Agricultural Systems, Elsevier, vol. 93(1-3), pages 170-190, March.
    22. James D. A. Millington & John Wainwright, 2016. "Comparative Approaches for Innovation in Agent-Based Modelling of Landscape Change," Land, MDPI, vol. 5(2), pages 1-4, May.
    23. Sven Banisch & Eckehard Olbrich, 2017. "The Coconut Model with Heterogeneous Strategies and Learning," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-14.
    24. Brian Heath & Raymond Hill & Frank Ciarallo, 2009. "A Survey of Agent-Based Modeling Practices (January 1998 to July 2008)," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1-9.
    25. J. Gareth Polhill & Bruce Edmonds, 2007. "Open Access for Social Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(3), pages 1-10.
    26. Christopher Poile & Frank Safayeni, 2016. "Using Computational Modeling for Building Theory: A Double Edged Sword," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(3), pages 1-8.
    27. Robert Marks, 2007. "Validating Simulation Models: A General Framework and Four Applied Examples," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 265-290, October.
    28. Alessandro Lomi & Erik R. Larsen & John H. Freeman, 2005. "Things Change: Dynamic Resource Constraints and System-Dependent Selection in the Evolution of Organizational Populations," Management Science, INFORMS, vol. 51(6), pages 882-903, June.
    29. Juliette Rouchier & Claudio Cioffi-Revilla & J. Gareth Polhill & Keiki Takadama, 2008. "Progress in Model-To-Model Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-8.
    30. Corrado Di Guilmi & Mauro Gallegati & Simone Landini, 2010. "Financial Fragility, Mean-field Interaction and Macroeconomic Dynamics: A Stochastic Model," Chapters, in: Neri Salvadori (ed.), Institutional and Social Dynamics of Growth and Distribution, chapter 13, Edward Elgar Publishing.
    31. Wolfgang Radax & Bernhard Rengs, 2010. "Prospects and Pitfalls of Statistical Testing: Insights from Replicating the Demographic Prisoner's Dilemma," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(4), pages 1-1.
    32. David Joyce & John Kennison & Owen Densmore & Stephen Guerin & Shawn Barr & Eric Charles & Nicholas S. Thompson, 2006. "My Way or the Highway: a More Naturalistic Model of Altruism Tested in an Iterative Prisoners' Dilemma," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(2), pages 1-4.
    33. Bruce Edmonds, 2010. "Bootstrapping Knowledge About Social Phenomena Using Simulation Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(1), pages 1-8.
    34. Davis, Jon S. & Pesch, Heather L., 2013. "Fraud dynamics and controls in organizations," Accounting, Organizations and Society, Elsevier, vol. 38(6), pages 469-483.
    35. Wilhite, Allen, 2006. "Protection and social order," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 691-709, December.
    36. Robert L. Axtell, 2000. "Effect of Interaction Topology and Activation Regime in Several Multi-Agent Systems," Working Papers 00-07-039, Santa Fe Institute.
    37. Neri Salvadori (ed.), 2010. "Institutional and Social Dynamics of Growth and Distribution," Books, Edward Elgar Publishing, number 13365, December.
    38. Riccardo Boero & Flaminio Squazzoni, 2005. "Does Empirical Embeddedness Matter? Methodological Issues on Agent-Based Models for Analytical Social Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-6.
    39. Oliver Will & Rainer Hegselmann, 2008. "A Replication That Failed - on the Computational Model in 'Michael W. Macy and Yoshimichi Sato: Trust, Cooperation and Market Formation in the U.S. and Japan. Proceedings of the National Academy of Sc," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(3), pages 1-3.
    40. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(4), pages 525-547.
    41. Shah Jamal Alam & Armando Geller & Ruth Meyer & Bogdan Werth, 2010. "Modelling Contextualized Reasoning in Complex Societies with "Endorsements"," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(4), pages 1-6.

  11. Robert Axtell, Joshua M. Epstein, & H. Peyton Young, "undated". "The Emergence of Economic Classes in an Agent-based Bargaining Model," Computing in Economics and Finance 1997 61, Society for Computational Economics.

    Cited by:

    1. Joshua M. Epstein, 2007. "Agent-Based Computational Models and Generative Social Science," Introductory Chapters, in: Generative Social Science Studies in Agent-Based Computational Modeling, Princeton University Press.
    2. Georges, Christophre, 2006. "Learning with misspecification in an artificial currency market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(1), pages 70-84, May.
    3. Robert Hoffmann, 2006. "The Cognitive Origins of Social Stratification," Computational Economics, Springer;Society for Computational Economics, vol. 28(3), pages 233-249, October.
    4. Robert Hoffmann, 2001. "Social Cognition in the Evolutionary Chicken Game," Occasional Papers 1, Nottingham University Business School, revised 10 Apr 2001.

Articles

  1. Axtell, Robert L. & Guerrero, Omar A. & López, Eduardo, 2019. "Frictional unemployment on labor flow networks," Journal of Economic Behavior & Organization, Elsevier, vol. 160(C), pages 184-201.
    See citations under working paper version above.
  2. Omar A Guerrero & Robert L Axtell, 2013. "Employment Growth through Labor Flow Networks," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-12, May.

    Cited by:

    1. Hilbert, Martin R. & Lu, Kangbo, 2020. "The online job market trace in Latin America and the Caribbean," Documentos de Proyectos 45892, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    2. Jacob Rubæk Holm & Bram Timmermans & Christian Richter Østergaard & Alex Coad & Nicola Grassano & Antonio Vezzani, 2020. "Labor mobility from R&D-intensive multinational companies: implications for knowledge and technology transfer," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1562-1584, October.
    3. Robert L. Axtell & Omar A. Guerrero & Eduardo L'opez, 2019. "Frictional Unemployment on Labor Flow Networks," Papers 1903.04954, arXiv.org.
    4. Lapatinas, Athanasios & Litina, Anastasia & Zanaj, Skerdilajda, 2020. "Environmental Culture and Economic Complexity," MPRA Paper 105067, University Library of Munich, Germany.
    5. Martin Hilbert, 2017. "Complementary Variety: When Can Cooperation in Uncertain Environments Outperform Competitive Selection?," Complexity, Hindawi, vol. 2017, pages 1-15, September.
    6. Moritz Kuhn & Jinfeng Luo & Iourii Manovskii & Xincheng Qiu, 2022. "Coordinated Firm-Level Work Processes and Macroeconomic Resilience," ECONtribute Discussion Papers Series 207, University of Bonn and University of Cologne, Germany.
    7. Yuanyang Liu & Gautam Pant & Olivia R. L. Sheng, 2020. "Predicting Labor Market Competition: Leveraging Interfirm Network and Employee Skills," Information Systems Research, INFORMS, vol. 31(4), pages 1443-1466, December.
    8. Abdullah Almaatouq, 2016. "Complex Systems and a Computational Social Science Perspective on the Labor Market," Papers 1606.08562, arXiv.org.
    9. Ben Klemens, 2024. "Measures of the Capital Network of the U.S. Economy," Papers 2401.12118, arXiv.org.
    10. Axtell, Robert L. & Guerrero, Omar A. & López, Eduardo, 2016. "The Network Composition of Aggregate Unemployment," MPRA Paper 68962, University Library of Munich, Germany.
    11. Athanasios Lapatinas & Anastasia Litina & Skerdilajda Zanaj, 2021. "The Impact of Economic Complexity on the Formation of Environmental Culture," Sustainability, MDPI, vol. 13(2), pages 1-25, January.
    12. Jiaqi Ge & Bernardo Alves Furtado, 2024. "Modelling urban transition with coupled housing and labour markets," Environment and Planning B, , vol. 51(3), pages 590-609, March.
    13. Mealy, Penny & Teytelboym, Alexander, 2022. "Economic complexity and the green economy," Research Policy, Elsevier, vol. 51(8).
    14. Guerrero, Omar A. & López, Eduardo, 2015. "Firm-to-firm labor flows and the aggregate matching function: A network-based test using employer–employee matched records," Economics Letters, Elsevier, vol. 136(C), pages 9-12.
    15. André Veski & Kaire Põder, 2018. "Zero-intelligence agents looking for a job," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 615-640, October.
    16. Shamnaaz B. Sufrauj & Giancarlo Corò & Mario Volpe, 2017. "Regional labour market mobility. A network analysis of inter-firm relatedness," Working Papers 2017:06, Department of Economics, University of Venice "Ca' Foscari".
    17. Kathyrn R. Fair & Omar A. Guerrero, 2023. "Endogenous Labour Flow Networks," Papers 2301.07979, arXiv.org, revised Mar 2023.
    18. Mealy, Penny & Teytelboym, Alexander, 2017. "Economic Complexity and the Green Economy," INET Oxford Working Papers 2018-03, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised Feb 2019.
    19. Jacob Rubak Holm & Bram Timmermans & Christian Richter Ostergaard & Alexander Coad & Nicola Grassano & Antonio Vezzani, 2019. "Labor mobility from R&D-intensive multinational companies: Implications for knowledge and technology," JRC Working Papers on Corporate R&D and Innovation 2019-06, Joint Research Centre.
    20. Jaehyuk Park & Ian Wood & Elise Jing & Azadeh Nematzadeh & Souvik Ghosh & Michael Conover & Yong-Yeol Ahn, 2019. "Global labor flow network reveals the hierarchical organization and dynamics of geo-industrial clusters in the world economy," Papers 1902.04613, arXiv.org, revised Mar 2019.
    21. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.

  3. John Geanakoplos & Robert Axtell & J. Doyne Farmer & Peter Howitt & Benjamin Conlee & Jonathan Goldstein & Matthew Hendrey & Nathan M. Palmer & Chun-Yi Yang, 2012. "Getting at Systemic Risk via an Agent-Based Model of the Housing Market," American Economic Review, American Economic Association, vol. 102(3), pages 53-58, May.
    See citations under working paper version above.
  4. Korobow, Adam & Johnson, Chris & Axtell, Robert, 2007. "An Agent–Based Model of Tax Compliance With Social Networks," National Tax Journal, National Tax Association;National Tax Journal, vol. 60(3), pages 589-610, September.

    Cited by:

    1. Michael Pickhardt & Goetz Seibold, 2011. "Income Tax Evasion Dynamics: Evidence from an Agent-based Econophysics Model," Papers 1112.0233, arXiv.org.
    2. Benno Torgler, 2014. "Can Tax Compliance Research Profit from Biology?," CREMA Working Paper Series 2014-08, Center for Research in Economics, Management and the Arts (CREMA).
    3. Nigar Hashimzade & Gareth Myles & Frank Page & Matthew Rablen, 2015. "The use of agent-based modelling to investigate tax compliance," Economics of Governance, Springer, vol. 16(2), pages 143-164, May.
    4. Hokamp, Sascha, 2014. "Dynamics of tax evasion with back auditing, social norm updating, and public goods provision – An agent-based simulation," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 187-199.
    5. Hashimzade, Nigar & Myles, Gareth D. & Rablen, Matthew D., 2016. "Predictive analytics and the targeting of audits," Journal of Economic Behavior & Organization, Elsevier, vol. 124(C), pages 130-145.
    6. Pellizzari, Paolo & Rizzi, Dino, 2014. "Citizenship and power in an agent-based model of tax compliance with public expenditure," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 35-48.
    7. Onu, Diana & Oats, Lynne, 2016. "“Paying tax is part of life”: Social norms and social influence in tax communications," Journal of Economic Behavior & Organization, Elsevier, vol. 124(C), pages 29-42.
    8. James Alm, 2019. "What Motivates Tax Compliance," Working Papers 1903, Tulane University, Department of Economics.
    9. Sascha Hokamp & Götz Seibold, 2014. "Tax Compliance and Public Goods Provision. An Agent-based Econophysics Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(4), pages 217-236, December.
    10. Gamannossi degl’Innocenti, Duccio & Rablen, Matthew D., 2020. "Tax evasion on a social network," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 79-91.
    11. Donna Bobek & Amy Hageman & Charles Kelliher, 2013. "Analyzing the Role of Social Norms in Tax Compliance Behavior," Journal of Business Ethics, Springer, vol. 115(3), pages 451-468, July.
    12. Andrei, Amanda L. & Comer, Kevin & Koehler, Matthew, 2014. "An agent-based model of network effects on tax compliance and evasion," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 119-133.
    13. Antinyan, Armenak & Horváth, Gergely & Jia, Mofei, 2019. "Social status competition and the impact of income inequality in evolving social networks: An agent-based model," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 79(C), pages 53-69.
    14. Feng Xiong & Shaojie Xiang & Peng Jin, 2019. "Study On Computational Experiments Of C2c Tax Compliance Based On Information Of Cybermediaries," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(02), pages 1-29, March.
    15. Semjén, András, 2017. "Az adózói magatartás különféle magyarázatai [Various explanations for tax compliance]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 140-184.
    16. Nuno Trindade Magessi & Luis Antunes, 2015. "Risk Perception and Risk Attitude on a Tax Evasion Context," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(3), pages 127-149, September.
    17. Kim Bloomquist, 2011. "Tax Compliance as an Evolutionary Coordination Game: An Agent-Based Approach," Public Finance Review, , vol. 39(1), pages 25-49, January.
    18. Pickhardt, Michael & Prinz, Aloys, 2014. "Behavioral dynamics of tax evasion – A survey," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 1-19.
    19. Vladimir A. Molodykh & Andrey A. Rubezhnoy, 2017. "Tax Compliance and the Choice of an Optimum Strategy for the Economic Agents," Journal of Tax Reform, Graduate School of Economics and Management, Ural Federal University, vol. 3(3), pages 216-225.
    20. d’Andria, D. & Savin, I., 2018. "A Win-Win-Win? Motivating innovation in a knowledge economy with tax incentives," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 38-56.
    21. Hashimzade, Nigar & Myles, Gareth D. & Page, Frank & Rablen, Matthew D., 2014. "Social networks and occupational choice: The endogenous formation of attitudes and beliefs about tax compliance," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 134-146.
    22. V.A. Molodykh, 2021. "Impact of Short-Term Exogenous Shocks on Taxpayer Behavior and Tax Evasion," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(2), pages 241-268.
    23. Nigar Hashimzade & Gareth Myles, 2017. "Risk-based Audits in a Behavioral Model," Public Finance Review, , vol. 45(1), pages 140-165, January.
    24. Richard Vale, 2015. "A Model for Tax Evasion with Some Realistic Properties," Papers 1508.02476, arXiv.org.

  5. Robert Axtell, 2007. "What economic agents do: How cognition and interaction lead to emergence and complexity," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 20(2), pages 105-122, September.

    Cited by:

    1. Lengnick, Matthias, 2011. "Agent-based macroeconomics - a baseline model," Economics Working Papers 2011-04, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
    3. Christopher J. Coyne, 2010. "Economics as the Study of Coordination and Exchange," Chapters, in: Peter J. Boettke (ed.), Handbook on Contemporary Austrian Economics, chapter 2, Edward Elgar Publishing.
    4. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    5. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2012. "Money creation and financial instability: An agent-based credit network approach," Economics Working Papers 2012-15, Christian-Albrechts-University of Kiel, Department of Economics.
    6. Hopfensitz, Astrid & Wranik, Tanja, 2008. "Psychological and environmental determinants of myopic loss aversion," MPRA Paper 9305, University Library of Munich, Germany.
    7. Stephan Leitner & Friederike Wall, 2021. "Decision-facilitating information in hidden-action setups: an agent-based approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(2), pages 323-358, April.
    8. Friederike Wall, 2017. "Learning To Incentivize In Different Modes Of Coordination," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 20(02n03), pages 1-29, March.
    9. Gilles Campagnolo & Gilbert Tosi, 2016. "Organic Views on Institutions: Has Carl Menger Anticipated Complex Adaptive Systems? [La conception organique des institutions de Carl Menger a-t-elle anticipé ce qu’est un système adaptatif comple," Post-Print hal-01446223, HAL.
    10. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    11. Alessio Emanuele Biondo, 2023. "Mr.Keynes and the... Complexity! A suggested agent-based version of the General Theory of Employment, Interest and Money," Papers 2303.00889, arXiv.org, revised Mar 2023.
    12. Patrick Reinwald & Stephan Leitner & Friederike Wall, 2020. "An Agent-Based Model of Delegation Relationships With Hidden-Action: On the Effects of Heterogeneous Memory on Performance," Papers 2009.07124, arXiv.org, revised Sep 2020.
    13. Dar'io Blanco-Fern'andez & Stephan Leitner & Alexandra Rausch, 2021. "Multi-level Adaptation of Distributed Decision-Making Agents in Complex Task Environments," Papers 2103.02345, arXiv.org.
    14. Andrei, Amanda L. & Comer, Kevin & Koehler, Matthew, 2014. "An agent-based model of network effects on tax compliance and evasion," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 119-133.
    15. James Lee Caton, 2019. "Creativity in a theory of entrepreneurship," Journal of Entrepreneurship and Public Policy, Emerald Group Publishing Limited, vol. 8(4), pages 442-469, September.
    16. Chad Seagren, 2011. "Examining social processes with agent-based models," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 24(1), pages 1-17, March.
    17. Patrick Reinwald & Stephan Leitner & Friederike Wall, 2021. "Limited intelligence and performance-based compensation: An agent-based model of the hidden action problem," Papers 2107.03764, arXiv.org.
    18. Stephan Leitner & Doris Behrens, 2015. "On the fault (in)tolerance of coordination mechanisms for distributed investment decisions," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(1), pages 251-278, March.
    19. Sandye Gloria, 2018. "Menger contre Walras," Post-Print hal-01797323, HAL.
    20. Kathyrn R. Fair & Omar A. Guerrero, 2023. "Endogenous Labour Flow Networks," Papers 2301.07979, arXiv.org, revised Mar 2023.
    21. David G. Green, 2023. "Emergence in complex networks of simple agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 419-462, July.
    22. S. Leitner & D.A. Behrens, 2015. "On the efficiency of hurdle rate-based coordination mechanisms," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 21(5), pages 413-431, September.
    23. Leitner, Stephan & Wall, Friederike, 2022. "Micro-level dynamics in hidden action situations with limited information," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 372-393.
    24. Santiago J. Gangotena, 2017. "Dynamic coordinating non-equilibrium," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(1), pages 51-82, March.
    25. Patrick Reinwald & Stephan Leitner & Friederike Wall, 2021. "Effects of limited and heterogeneous memory in hidden-action situations," Papers 2105.12469, arXiv.org.
    26. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    27. Kuhla, Kilian & Willner, Sven N & Otto, Christian & Levermann, Anders, 2023. "Resilience of international trade to typhoon-related supply disruptions," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    28. Ron Martin & Peter Sunley, 2010. "The Place of Path Dependence in an Evolutionary Perspective on the Economic Landscape," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 3, Edward Elgar Publishing.
    29. Friederike Wall, 2021. "Compliance to “Unpleasant” actions of crisis management: some remarks from a management control perspective," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 20(1), pages 159-164, June.
    30. Rémi Stellian & Jenny Paola Danna-Buitrago & David Andrés Londoño Bedoya, 2018. "Fragilidad financiera empresarial y expectativas de ingresos: evidencias de un modelo multi-agentes," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 37(73), February.
    31. Friederike Wall, 2016. "Agent-based modeling in managerial science: an illustrative survey and study," Review of Managerial Science, Springer, vol. 10(1), pages 135-193, January.
    32. Michael S. Harr'e, 2018. "Multi-agent Economics and the Emergence of Critical Markets," Papers 1809.01332, arXiv.org.
    33. Oldham, Matthew, 2020. "Quantifying the concerns of Dimon and Buffett with data and computation," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    34. Vipin P. Veetil & Lawrence H. White, 2017. "Towards a New Austrian Macroeconomics," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(1), pages 19-38, March.
    35. Stephan Leitner & Friederike Wall, 2015. "Simulation-based research in management accounting and control: an illustrative overview," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 105-129, August.

  6. Akira Namatame & Thomas Lux & Robert Axtell, 2006. "Welcome to JEIC," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 1(1), pages 1-3, May.

    Cited by:

    1. Matthias Meyer & Iris Lorscheid & Klaus G. Troitzsch, 2009. "The Development of Social Simulation as Reflected in the First Ten Years of JASSS: a Citation and Co-Citation Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1-12.

  7. Robert Axtell, 2005. "The Complexity of Exchange," Economic Journal, Royal Economic Society, vol. 115(504), pages 193-210, June.
    See citations under working paper version above.
  8. Robert L. Axtell & Clinton J. Andrews & Mitchell J. Small, 2001. "Agent‐Based Modeling and Industrial Ecology," Journal of Industrial Ecology, Yale University, vol. 5(4), pages 10-13, October.

    Cited by:

    1. Anna Lütje & Volker Wohlgemuth, 2020. "Requirements Engineering for an Industrial Symbiosis Tool for Industrial Parks Covering System Analysis, Transformation Simulation and Goal Setting," Administrative Sciences, MDPI, vol. 10(1), pages 1-24, February.
    2. Walzberg, Julien & Dandres, Thomas & Merveille, Nicolas & Cheriet, Mohamed & Samson, Réjean, 2019. "Assessing behavioural change with agent-based life cycle assessment: Application to smart homes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 365-376.
    3. Bjelle, Eivind Lekve & Wiebe, Kirsten S. & Többen, Johannes & Tisserant, Alexandre & Ivanova, Diana & Vita, Gibran & Wood, Richard, 2021. "Future changes in consumption: The income effect on greenhouse gas emissions," Energy Economics, Elsevier, vol. 95(C).
    4. Eivind Lekve Bjelle & Johannes Többen & Konstantin Stadler & Thomas Kastner & Michaela C. Theurl & Karl-Heinz Erb & Kjartan-Steen Olsen & Kirsten S. Wiebe & Richard Wood, 2020. "Adding country resolution to EXIOBASE: impacts on land use embodied in trade," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-25, December.
    5. J. Raimbault & J. Broere & M. Somveille & J. M. Serna & E. Strombom & C. Moore & B. Zhu & L. Sugar, 2020. "A spatial agent based model for simulating and optimizing networked eco-industrial systems," Papers 2003.14133, arXiv.org.

  9. Hahn, Robert W & Axtell, Robert L, 1995. "Reevaluating the Relationship between Transferable Property Rights and Command-and-Control Regulation," Journal of Regulatory Economics, Springer, vol. 8(2), pages 125-148, September.

    Cited by:

    1. Farrell, Alex, 2001. "Multi-lateral emission trading: lessons from inter-state NOx control in the United States," Energy Policy, Elsevier, vol. 29(13), pages 1061-1072, November.
    2. Richard L. Revesz & Robert Stavins, 2007. "Environmental Law and Policy," NBER Working Papers 13575, National Bureau of Economic Research, Inc.
    3. Ping Lin & Yu Pang, 2020. "Command-and-control regulation, incentive for pollution abatement, and market structure," Journal of Regulatory Economics, Springer, vol. 57(2), pages 159-180, April.
    4. Marcelo Caffera & Carlos Chávez, 2011. "The Cost-Effective Choice of Policy Instruments to Cap Aggregate Emissions with Costly Enforcement," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(4), pages 531-557, December.
    5. Rubin, Jonathan D. & Kling, Catherine, 1993. "An Emission Saved is an Emission Earned: An Empirical Study of Emission Banking for Light-Duty Vehicle Manufacturers," University of California Transportation Center, Working Papers qt3rb1472g, University of California Transportation Center.
    6. Robert W. Hahn, 1995. "Choosing among fuels and technologies for cleaning up the air," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 14(4), pages 532-554.
    7. Li Xiangfei & Qin Qin & Gao Yang, 2017. "Optimal Implementation Strategy of Carbon Emission Reduction Policy Instruments in Consideration of Cost Efficiency," Journal of Systems Science and Information, De Gruyter, vol. 5(2), pages 111-127, April.
    8. Keohane, Nathaniel O. & Revesz, Richard L. & Stavins, Robert N., 1997. "The Positive Political Economy of Instrument Choice in Environmental Policy," Discussion Papers 10759, Resources for the Future.
    9. Janusz Mrozek & Andrew Keeler, 2004. "Pooling of Uncertainty: Enforcing Tradable Permits Regulation when Emissions are Stochastic," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 29(4), pages 459-481, December.

Chapters

  1. Robert L. Axtell, 2016. "Hayek Enriched by Complexity Enriched by Hayek☆," Advances in Austrian Economics, in: Revisiting Hayek’s Political Economy, volume 21, pages 63-121, Emerald Group Publishing Limited.

    Cited by:

    1. Fuat Oğuz, 2020. "Hayekian complexity and the role of regulation in electricity markets," Economic Affairs, Wiley Blackwell, vol. 40(3), pages 406-418, October.
    2. Paul Lewis, 2017. "The Ostroms and Hayek as Theorists of Complex Adaptive Systems: Commonality and Complementarity," Advances in Austrian Economics, in: The Austrian and Bloomington Schools of Political Economy, volume 22, pages 35-66, Emerald Group Publishing Limited.
    3. James Caton, 2020. "The evolution of Hayek's thought on gold and monetary standards," Southern Economic Journal, John Wiley & Sons, vol. 87(1), pages 386-405, July.

  2. Omar A. Guerrero & Robert L. Axtell, 2011. "Using Agentization for Exploring Firm and Labor Dynamics," Lecture Notes in Economics and Mathematical Systems, in: Sjoukje Osinga & Gert Jan Hofstede & Tim Verwaart (ed.), Emergent Results of Artificial Economics, pages 139-150, Springer.

    Cited by:

    1. Gérard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," PSE-Ecole d'économie de Paris (Postprint) halshs-01296643, HAL.
    2. Khamdamov, T., 2022. "A brief overview of the evolution of computer simulations in economic research," Journal of the New Economic Association, New Economic Association, vol. 54(2), pages 189-207.
    3. Stephan Leitner & Friederike Wall, 2021. "Decision-facilitating information in hidden-action setups: an agent-based approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(2), pages 323-358, April.
    4. Richard Bookstaber & Michael D. Foley & Brian F. Tivnan, 2015. "Market Liquidity and Heterogeneity in the Investor Decision Cycle," Working Papers 15-03, Office of Financial Research, US Department of the Treasury.
    5. Friederike Wall, 2017. "Learning To Incentivize In Different Modes Of Coordination," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 20(02n03), pages 1-29, March.
    6. Patrick Reinwald & Stephan Leitner & Friederike Wall, 2020. "An Agent-Based Model of Delegation Relationships With Hidden-Action: On the Effects of Heterogeneous Memory on Performance," Papers 2009.07124, arXiv.org, revised Sep 2020.
    7. Patrick Reinwald & Stephan Leitner & Friederike Wall, 2021. "Limited intelligence and performance-based compensation: An agent-based model of the hidden action problem," Papers 2107.03764, arXiv.org.
    8. Stephan Leitner & Doris Behrens, 2015. "On the fault (in)tolerance of coordination mechanisms for distributed investment decisions," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(1), pages 251-278, March.
    9. S. Leitner & D.A. Behrens, 2015. "On the efficiency of hurdle rate-based coordination mechanisms," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 21(5), pages 413-431, September.
    10. Leitner, Stephan & Wall, Friederike, 2022. "Micro-level dynamics in hidden action situations with limited information," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 372-393.
    11. Patrick Reinwald & Stephan Leitner & Friederike Wall, 2021. "Effects of limited and heterogeneous memory in hidden-action situations," Papers 2105.12469, arXiv.org.
    12. Friederike Wall, 2016. "Agent-based modeling in managerial science: an illustrative survey and study," Review of Managerial Science, Springer, vol. 10(1), pages 135-193, January.
    13. Oldham, Matthew, 2020. "Quantifying the concerns of Dimon and Buffett with data and computation," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    14. Stephan Leitner & Friederike Wall, 2015. "Simulation-based research in management accounting and control: an illustrative overview," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 105-129, August.

Books

  1. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.

    Cited by:

    1. Jennifer Boyd & Rebekah Wilson & Corinna Elsenbroich & Alison Heppenstall & Petra Meier, 2022. "Agent-Based Modelling of Health Inequalities following the Complexity Turn in Public Health: A Systematic Review," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    2. Herrmann-Pillath Carsten, 2001. "A General Refutation of the Law of One Price as Empirical Hypothesis / Eine allgemeine Widerlegung des „Gesetzes des einheitlichen Preises“ als einer empirischen Hypothese," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 221(1), pages 45-67, February.
    3. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Improving the toolbox. New advances in Agent-based and Computational Models," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 7-13.
    4. Davide Radi & Laura Gardini & Viktor Avrutin, 2014. "The Role of Constraints in a Segregation Model: The Asymmetric Case," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-17, August.
    5. Cléo Chassonnery-Zaïgouche & Lauren Larrouy, 2017. "“From warfare to welfare”: Contextualising Arrow and Schelling's models of racial inequalities (1968–1972)," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 24(6), pages 1355-1387, November.
    6. Charlotte Bruun, 2003. "The Economy as a Whole - Simulating Schumpetarian Dynamics," Computing in Economics and Finance 2003 205, Society for Computational Economics.
    7. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Financialisation and crisis in an agent based macroeconomic model," Economic Modelling, Elsevier, vol. 52(PA), pages 162-172.
    8. David H. Bearce & Eric O'N. Fisher, 2002. "Economic Geography, Trade, and War," Journal of Conflict Resolution, Peace Science Society (International), vol. 46(3), pages 365-393, June.
    9. Tamotsu Onozaki, 2018. "Nonlinearity, Bounded Rationality, and Heterogeneity," Springer Books, Springer, number 978-4-431-54971-0, September.
    10. Russo, Alberto & Catalano, Michele & Gaffeo, Edoardo & Gallegati, Mauro & Napoletano, Mauro, 2007. "Industrial dynamics, fiscal policy and R&D: Evidence from a computational experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 426-447.
    11. Claudius Gräbner, 2018. "Formal Approaches to Socio-economic Analysis—Past and Perspectives," Forum for Social Economics, Taylor & Francis Journals, vol. 47(1), pages 32-63, January.
    12. Zakaria Babutsidze, 2012. "Consumer Learning through Interaction: Effects on Aggregate Outcomes," SciencePo Working papers Main halshs-01926912, HAL.
    13. Daniel Teitelbaum & Hadi Dowlatabadi, 2000. "A Computational Model of Technological Innovation at the Firm Level," Computational and Mathematical Organization Theory, Springer, vol. 6(3), pages 227-247, September.
    14. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," SciencePo Working papers Main hal-01070338, HAL.
    15. Ricardo Sosa, 2011. "Understanding the Future of Change Agency in Sustainability Through Cellular Automata Scenarios: The Role of Timing †," Sustainability, MDPI, vol. 3(4), pages 1-18, March.
    16. Alan G. Isaac, 2019. "Exploring the Social-Architecture Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 565-589, October.
    17. Sven Banischa & Ricardo Lima & Tanya Araújo, 2012. "Agent based models and opinion dynamics as markov chains," Working Papers Department of Economics 2012/10, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    18. John Sherwood & Anthony Ditta & Becky Haney & Loren Haarsma & Michael Carbajales-Dale, 2017. "Resource Criticality in Modern Economies: Agent-Based Model Demonstrates Vulnerabilities from Technological Interdependence," Biophysical Economics and Resource Quality, Springer, vol. 2(3), pages 1-22, September.
    19. Lucio Biggiero & Enrico Sevi, 2009. "Opportunism by cheating and its effects on industry profitability. The CIOPS model," Computational and Mathematical Organization Theory, Springer, vol. 15(3), pages 191-236, September.
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