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Jasmina Arifovic

(deceased)

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Author Profile
    1. Praga CEF 2012
      by tomaszmakarewicz in tomaszmakarewicz on 2012-07-04 21:03:49

Working papers

  1. Jasmina Arifovic & Isabelle Salle & Hung Truong, 2023. "History-Dependent Monetary Regimes: A Lab Experiment and a Henk Model," Tinbergen Institute Discussion Papers 23-028/VI, Tinbergen Institute.

    Cited by:

    1. Kronick, Jeremy & Petersen, Luba, 2025. "Is monetary and fiscal policy conflict that dire?," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    2. Evans, George & McGough, Bruce, 2025. "Social learning and expectational stability," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    3. Salle, Isabelle L., 2023. "What to target? Insights from a lab experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 514-533.

  2. Jasmina Arifovic & Cars Hommes & Anita Kopányi-Peuker & Isabelle Salle, 2020. "Ten isn’t large! Group size and coordination in a large-scale experiment," Staff Working Papers 20-30, Bank of Canada.

    Cited by:

    1. Hubert J. Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2021. "Experimental Bank Runs," ThE Papers 21/03, Department of Economic Theory and Economic History of the University of Granada..
    2. Xiaoxuan Hou & Jiayi Yuan & Joel Z. Leibo & Natasha Jaques, 2024. "InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma," Papers 2411.09856, arXiv.org, revised Feb 2025.
    3. Bao, Te & Dai, Yun & Duffy, John, 2025. "Least squares learning? Evidence from the laboratory," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    4. Dawid, Herbert & Hommes, Cars & Petersen, Luba, 2025. "Introduction to the special issue on computational and experimental economics in memory of Jasmina Arifovic," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).

  3. Jasmina Arifovic & Alex Grimaud & Isabelle Salle & Gauthier Vermandel, 2020. "Social Learning and Monetary Policy at the Effective Lower Bound," Staff Working Papers 20-2, Bank of Canada.

    Cited by:

    1. Petersen, Luba & Rholes, Ryan, 2022. "Macroeconomic expectations, central bank communication, and background uncertainty: A COVID-19 laboratory experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    2. Bullard, James & Grimaud, Alex & Salle, Isabelle & Vermandel, Gauthier, 2026. "Soft landing and inflation scares," Journal of Monetary Economics, Elsevier, vol. 157(C).
    3. Evans, George & McGough, Bruce, 2025. "Social learning and expectational stability," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    4. LeBaron, Blake & Smith, Karen, 2025. "Learning integrated inflation forecasts in a simple multi-agent macroeconomic model," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    5. Tolga Özden, 2021. "Heterogeneous Expectations and the Business Cycle at the Effective Lower Bound," Working Papers 714, DNB.
    6. Grimaud, Alex & Salle, Isabelle & Vermandel, Gauthier, 2025. "A Dynare toolbox for social learning expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    7. Dawid, Herbert & Hommes, Cars & Petersen, Luba, 2025. "Introduction to the special issue on computational and experimental economics in memory of Jasmina Arifovic," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).

  4. Jasmina Arifovic & John Duffy & Janet Hua Jiang, 2017. "Adoption of a New Payment Method: Theory and Experimental Evidence," Staff Working Papers 17-28, Bank of Canada.

    Cited by:

    1. Jun Dong & Dongran Liu & Xihao Dou & Bo Li & Shiyao Lv & Yuzheng Jiang & Tongtao Ma, 2021. "Key Issues and Technical Applications in the Study of Power Markets as the System Adapts to the New Power System in China," Sustainability, MDPI, vol. 13(23), pages 1-29, December.
    2. Dalton, Patricio & Pamuk, Haki & Ramrattan, R. & van Soest, Daan & Uras, Burak, 2018. "Payment Technology Adoption and Finance : A Randomized-Controlled-Trial with SMEs," Discussion Paper 2018-042, Tilburg University, Center for Economic Research.
    3. Dalton, Patricio & van Soest, Daan & Uras, Burak, 2024. "Electronic payment technology and business finance : A randomized, controlled trial with mobile money," Other publications TiSEM a85169a4-253e-40a5-b46a-7, Tilburg University, School of Economics and Management.
    4. Raphael Auer & Jon Frost & Leonardo Gambacorta & Cyril Monnet & Tara Rice & Hyun Song Shin, 2021. "Central bank digital currencies: motives, economic implications and the research frontier," BIS Working Papers 976, Bank for International Settlements.
    5. Bouzas, Tulio & Uras, Burak, 2026. "The Price of Traceability: E-Payments, Tax Compliance, and Policy," Discussion Paper 2026-006, Tilburg University, Center for Economic Research.
    6. Zvonka, Georgii, 2026. "Tokenization: a potential pathway for Bitcoin’s future," Journal of International Money and Finance, Elsevier, vol. 161(C).
    7. Bouzas, Tulio & Uras, Burak, 2026. "The Price of Traceability: E-Payments, Tax Compliance, and Policy," Other publications TiSEM b35a98be-6600-4dcd-8010-b, Tilburg University, School of Economics and Management.
    8. Kim Huynh & Gradon Nicholls & Oleksandr Shcherbakov, 2019. "Explaining the Interplay Between Merchant Acceptance and Consumer Adoption in Two-Sided Markets for Payment Methods," Staff Working Papers 19-32, Bank of Canada.
    9. Dalton, Patricio & Pamuk, H. & Ramrattan, R. & van Soest, Daan & Uras, Burak, 2019. "Transparency and Financial Inclusion : Experimental Evidence from Mobile Money (revision of CentER DP 2018-042)," Discussion Paper 2019-032, Tilburg University, Center for Economic Research.
    10. Raphael Auer & Giulio Cornelli & Jon Frost, 2020. "Rise of the central bank digital currencies: drivers, approaches and technologies," BIS Working Papers 880, Bank for International Settlements.
    11. Janet Hua Jiang, 2020. "CBDC adoption and usage: some insights from field and laboratory experiments," Staff Analytical Notes 2020-12, Bank of Canada.
    12. Janet Hua Jiang & Cathy Zhang, 2017. "Competing Currencies in the Laboratory," Staff Working Papers 17-53, Bank of Canada.
    13. Jiang, Janet Hua & Zhang, Cathy, 2018. "Competing currencies in the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 253-280.
    14. Meyer Aaron & Francisco Rivadeneyra & Samantha Sohal, 2017. "Fintech: Is This Time Different? A Framework for Assessing Risks and Opportunities for Central Banks," Discussion Papers 17-10, Bank of Canada.

  5. Jasmina Arifovic & John Duffy & Janet Jiang, 2017. "Adoption of a New Payment System: Theory and Experimental Evidence," Working Papers 171801, University of California-Irvine, Department of Economics.

    Cited by:

    1. Jun Dong & Dongran Liu & Xihao Dou & Bo Li & Shiyao Lv & Yuzheng Jiang & Tongtao Ma, 2021. "Key Issues and Technical Applications in the Study of Power Markets as the System Adapts to the New Power System in China," Sustainability, MDPI, vol. 13(23), pages 1-29, December.
    2. Bouzas, Tulio & Uras, Burak, 2026. "The Price of Traceability: E-Payments, Tax Compliance, and Policy," Discussion Paper 2026-006, Tilburg University, Center for Economic Research.
    3. Kim Huynh & Gradon Nicholls & Oleksandr Shcherbakov, 2019. "Explaining the Interplay Between Merchant Acceptance and Consumer Adoption in Two-Sided Markets for Payment Methods," Staff Working Papers 19-32, Bank of Canada.
    4. Jiang, Janet Hua & Zhang, Cathy, 2018. "Competing currencies in the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 253-280.

  6. Jasmina Arifovic & Stephanie Schmitt-Grohé & Martín Uribe, 2017. "Learning to Live in a Liquidity Trap," NBER Working Papers 23725, National Bureau of Economic Research, Inc.

    Cited by:

    1. Petersen, Luba & Rholes, Ryan, 2022. "Macroeconomic expectations, central bank communication, and background uncertainty: A COVID-19 laboratory experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    2. Anufriev, Mikhail & Lamantia, Fabio & Radi, Davide & Tichy, Tomas, 2025. "Leaning against the wind in the New Keynesian model with heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    3. Gobbi, Lucio & Mazzocchi, Ronny & Tamborini, Roberto, 2025. "Inflation shocks and the New Keynesian model: When should central banks fear inflation expectations?," The North American Journal of Economics and Finance, Elsevier, vol. 80(C).
    4. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    5. Kevin J. Lansing, 2019. "Endogenous Forecast Switching Near the Zero Lower Bound," Working Paper Series 2017-24, Federal Reserve Bank of San Francisco.
    6. Chattopadhyay, Siddhartha & Ghosh, Taniya, 2020. "Taylor Rule implementation of the optimal policy at the zero lower bound: Does the cost channel matter?," Economic Modelling, Elsevier, vol. 89(C), pages 351-366.
    7. Robert Kollmann, 2020. "Liquidity Traps in a Monetary Union," Globalization Institute Working Papers 397, Federal Reserve Bank of Dallas.
    8. Jasmina Arifovic & Alex Grimaud & Isabelle Salle & Gauthier Vermandel, 2025. "Social Learning and Monetary Policy at the Effective Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 57(2-3), pages 439-475, March.
    9. Bullard, James & Grimaud, Alex & Salle, Isabelle & Vermandel, Gauthier, 2026. "Soft landing and inflation scares," Journal of Monetary Economics, Elsevier, vol. 157(C).
    10. Evans, George & McGough, Bruce, 2025. "Social learning and expectational stability," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    11. Kollmann, Robert, 2021. "Liquidity traps in a world economy," Journal of Economic Dynamics and Control, Elsevier, vol. 132(C).
    12. Robert Kollmann, 2021. "Effects of Covid-19 on Euro area GDP and inflation: demand vs. supply disturbances," International Economics and Economic Policy, Springer, vol. 18(3), pages 475-492, July.
    13. Bullard, James, 2025. "Social learning for the masses," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    14. Lucio Gobbi & Ronny Mazzocchi & Roberto Tamborini, 2022. "Monetary policy, rational confidence, and Neo‐Fisherian depressions," Metroeconomica, Wiley Blackwell, vol. 73(4), pages 1179-1199, November.
    15. Evans, George & Gibbs, Christopher & McGough, Bruce, 2021. "A Unified Model of Learning to Forecast," Working Papers 2021-10, University of Sydney, School of Economics.
    16. Maksim Isakin & Phuong V. Ngo, 2022. "Multiplicity in New Keynesian Models," Open Economies Review, Springer, vol. 33(3), pages 505-521, July.
    17. Athanasios Geromichalos & Lucas Herrenbrueck, 2022. "The Liquidity-Augmented Model of Macroeconomic Aggregates: A New Monetarist DSGE Approach," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 134-167, July.
    18. Jarociński, Marek & Maćkowiak, Bartosz, 2018. "Monetary-fiscal interactions and the euro area's malaise," Journal of International Economics, Elsevier, vol. 112(C), pages 251-266.
    19. Gilles Dufrénot & Meryem Rhouzlane, 2018. "Secular Stagnation: New Challenges for the Industrialized Countries in the 21st Century," Working Papers halshs-01821669, HAL.
    20. He Nie & Jordan Roulleau-Pasdeloup, 2023. "The promises (and perils) of control-contingent forward guidance," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 77-98, July.
    21. Brendon, Charles & Paustian, Matthias & Yates, Tony, 2020. "Self-fulfilling recessions at the zero lower bound," Journal of Monetary Economics, Elsevier, vol. 115(C), pages 213-232.
    22. Grimaud, Alex & Salle, Isabelle & Vermandel, Gauthier, 2025. "A Dynare toolbox for social learning expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    23. Dawid, Herbert & Hommes, Cars & Petersen, Luba, 2025. "Introduction to the special issue on computational and experimental economics in memory of Jasmina Arifovic," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    24. Gobbi, Lucio & Mazzocchi, Ronny & Tamborini, Roberto, 2019. "Monetary policy, de-anchoring of inflation expectations, and the “new normal”," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.

  7. Arifovic, J. & Hommes, C.H. & Salle, I., 2016. "Learning to believe in Simple Equilibria in a Complex OLG Economy - evidence from the lab," CeNDEF Working Papers 16-06, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    2. Cavalli, F. & Chen, H.-J. & Li, M.-C. & Naimzada, A. & Pecora, N., 2023. "Heterogeneous expectations and equilibria selection in an evolutionary overlapping generations model," Journal of Mathematical Economics, Elsevier, vol. 104(C).
    3. Anufriev, Mikhail & Lamantia, Fabio & Radi, Davide & Tichy, Tomas, 2025. "Leaning against the wind in the New Keynesian model with heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    4. Zhao, Dongxu & Li, Kai, 2022. "Bounded rationality, adaptive behaviour, and asset prices," International Review of Financial Analysis, Elsevier, vol. 80(C).
    5. Cars Hommes & Stefanie J. Huber & Daria Minina & Isabelle Salle, 2024. "Learning in a Complex World Insights from an OLG Lab Experiment," ECONtribute Discussion Papers Series 283, University of Bonn and University of Cologne, Germany.
    6. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    7. Kronick, Jeremy & Petersen, Luba, 2025. "Is monetary and fiscal policy conflict that dire?," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    8. Mikhail Anufriev & Frieder Neunhoeffer & Jan Tuinstra, 2024. "Time pressure reduces financial bubbles: Evidence from a forecasting experiment," Working Papers REM 2024/0351, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    9. Jasmina Arifovic & Cars Hommes & Anita Kopányi-Peuker & Isabelle Salle, 2020. "Ten isn’t large! Group size and coordination in a large-scale experiment," Staff Working Papers 20-30, Bank of Canada.
    10. Ahrens, Steffen & Lustenhouwer, Joep & Tettamanzi, Michele, 2023. "The Stabilizing Effects of Publishing Strategic Central Bank Projections," Macroeconomic Dynamics, Cambridge University Press, vol. 27(3), pages 826-868, April.
    11. Cars Hommes, 2017. "From self-fulfilling mistakes to behavioral learning equilibria," Tinbergen Institute Discussion Papers 17-018/II, Tinbergen Institute.
    12. Salle, Isabelle L., 2023. "What to target? Insights from a lab experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 514-533.
    13. Marx, Robert & Lehmann-Waffenschmidt, Marco, 2022. "The Keynesian beauty contest revisited," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 164-181.
    14. Bao, Te & Dai, Yun & Duffy, John, 2025. "Least squares learning? Evidence from the laboratory," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    15. Battiston, Pietro & Harrison, Sharon G., 2024. "Believe it or not: Experimental evidence on sunspot equilibria with social networks," Games and Economic Behavior, Elsevier, vol. 143(C), pages 223-247.
    16. Dawid, Herbert & Hommes, Cars & Petersen, Luba, 2025. "Introduction to the special issue on computational and experimental economics in memory of Jasmina Arifovic," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    17. Alexeeva, Tatyana A. & Kuznetsov, Nikolay V. & Mokaev, Timur N. & Zelinka, Ivan, 2025. "Chaotic dynamics in an overlapping generations model: Forecasting and regularization," Chaos, Solitons & Fractals, Elsevier, vol. 196(C).

  8. Luba Petersen & Jasmina Arifovic, 2015. "Escaping Expectations-Driven Liquidity Traps: Experimental Evidence," Discussion Papers dp15-03, Department of Economics, Simon Fraser University.

    Cited by:

    1. Cars Hommes & Joep Lustenhouwer, 2019. "Inflation Targeting and Liquidity Traps Under Endogenous Credibility," Staff Working Papers 19-9, Bank of Canada.
    2. Geiger, Martin & Luhan, Wolfgang J. & Scharler, Johann, 2016. "When do fiscal consolidations lead to consumption booms? Lessons from a laboratory experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 1-20.
    3. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    4. Goy, Gavin & Hommes, Cars & Mavromatis, Kostas, 2022. "Forward guidance and the role of central bank credibility under heterogeneous beliefs," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1240-1274.
    5. Fatemeh Mokhtarzadeh & Luba Petersen, 2017. "Coordinating expectations through central bank projections," Discussion Papers dp17-03, Department of Economics, Simon Fraser University.
    6. Hommes, C.H. & Massaro, D. & Salle, I., 2015. "Monetary and Fiscal Policy Design at the Zero Lower Bound - Evidence from the Lab," CeNDEF Working Papers 15-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    7. Ahrens, Steffen & Lustenhouwer, Joep & Tettamanzi, Michele, 2017. "The Stabilizing Role of Forward Guidance: A Macro Experiment," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168063, Verein für Socialpolitik / German Economic Association.

  9. Jasmina Arifovic & Janet Hua Jiang, 2014. "Do Sunspots Matter? Evidence from an Experimental Study of Bank Runs," Staff Working Papers 14-12, Bank of Canada.

    Cited by:

    1. Christian König-Kersting & Stefan Trautmann & Razvan Vlahu, 2020. "Bank instability: Interbank linkages and the role of disclosure," Working Papers 665, DNB.
    2. Siebert, Jan & Yang, Guanzhong, 2017. "Discoordination and miscoordination caused by sunspots in the laboratory," Working Papers on East Asian Studies 114/2017, University of Duisburg-Essen, Institute of East Asian Studies IN-EAST.
    3. Jasmina Arifovic, 2019. "Evolution of sunspot like behavior in the agent based economies of bank runs," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 365-389, March.
    4. Schmitt, Noemi & Westerhoff, Frank, 2016. "Heterogeneity, spontaneous coordination and extreme events within large-scale and small-scale agent-based financial market models," BERG Working Paper Series 111, Bamberg University, Bamberg Economic Research Group.
    5. Eloisa Campioni & Vittorio Larocca & Loredana Mirra & Luca Panaccione, 2017. "Financial literacy and bank runs: an experimental analysis," CEIS Research Paper 402, Tor Vergata University, CEIS, revised 07 Jul 2017.
    6. Bucher, Monika & Dietrich, Diemo & Tvede, Mich, 2018. "Coordination failures, bank runs and asset prices," Discussion Papers 39/2018, Deutsche Bundesbank.
    7. Gabriele Camera & Marco Casari & Stefania Bortolotti, 2015. "An Experiment on Retail Payments Systems," Working Papers 15-13, Chapman University, Economic Science Institute.
    8. Konstantinos Georgalos & Indrajit Ray & Sonali SenGupta, 2020. "Nash versus coarse correlation," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1178-1204, December.
    9. Heinemann, Frank & Moradi, Homayoon, 2018. "Sunspots in Global Games: Theory and Experiment," Rationality and Competition Discussion Paper Series 135, CRC TRR 190 Rationality and Competition.
    10. Georgalos, Konstantinos & Ray, Indrajit & Gupta, Sonali Sen, 2019. "Nash vs. Coarse Correlation," Cardiff Economics Working Papers E2019/3, Cardiff University, Cardiff Business School, Economics Section.
    11. Chakravarty, Surajeet & Fonseca, Miguel A. & Kaplan, Todd R., 2014. "An experiment on the causes of bank run contagions," European Economic Review, Elsevier, vol. 72(C), pages 39-51.
    12. Siebert, Jan & Yang, Guanzhong, 2020. "Coordination problems triggered by sunspots in the laboratory," Ruhr Economic Papers 848, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    13. Chakravarty, Surajeet & Choo, Lawrence & Fonseca, Miguel A. & Kaplan, Todd R., 2020. "Should regulators always be transparent? A bank run experiment," MPRA Paper 99948, University Library of Munich, Germany.

  10. Jasmina Arifovic & George Evans & Olena Kostyshyna, 2013. "Are Sunspots Learnable? An Experimental Investigation in a Simple General-Equilibrium Model," Staff Working Papers 13-14, Bank of Canada.

    Cited by:

    1. Siebert, Jan & Yang, Guanzhong, 2017. "Discoordination and miscoordination caused by sunspots in the laboratory," Working Papers on East Asian Studies 114/2017, University of Duisburg-Essen, Institute of East Asian Studies IN-EAST.
    2. Fehr, Dietmar & Heinemann, Frank & Llorente-Saguer, Aniol, 2019. "The power of sunspots: An experimental analysis," Journal of Monetary Economics, Elsevier, vol. 103(C), pages 123-136.
    3. Camille Cornand & Frank Heinemann, 2018. "Experiments on macroeconomics: methods and applications," Working Papers 1810, Groupe d'Analyse et de Théorie Economique Lyon St-Etienne (GATE Lyon St-Etienne), Université de Lyon.
    4. Pietro Battiston & Sharon G. Harrison, 2019. "Believe it or not: Experimental Evidence on Sunspot Equilibria with Social Networks," Working Papers 422, University of Milano-Bicocca, Department of Economics, revised Nov 2019.
    5. Luba Petersen & Jasmina Arifovic, 2015. "Escaping Expectations-Driven Liquidity Traps: Experimental Evidence," Discussion Papers dp15-03, Department of Economics, Simon Fraser University.
    6. Konstantinos Georgalos & Indrajit Ray & Sonali SenGupta, 2020. "Nash versus coarse correlation," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1178-1204, December.
    7. Bizer, Kilian & Meub, Lukas & Proeger, Till & Spiwoks, Markus, 2014. "Strategic coordination in forecasting: An experimental study," University of Göttingen Working Papers in Economics 195, University of Goettingen, Department of Economics.
    8. Georgalos, Konstantinos & Ray, Indrajit & Gupta, Sonali Sen, 2019. "Nash vs. Coarse Correlation," Cardiff Economics Working Papers E2019/3, Cardiff University, Cardiff Business School, Economics Section.
    9. Siebert, Jan & Yang, Guanzhong, 2020. "Coordination problems triggered by sunspots in the laboratory," Ruhr Economic Papers 848, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    10. Arifovic, J. & Hommes, C.H. & Salle, I., 2016. "Learning to believe in Simple Equilibria in a Complex OLG Economy - evidence from the lab," CeNDEF Working Papers 16-06, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    11. Jasmina Arifovic & Janet Hua Jiang, 2014. "Do Sunspots Matter? Evidence from an Experimental Study of Bank Runs," Staff Working Papers 14-12, Bank of Canada.

  11. Anufriev, M. & Arifovic, J. & Ledyard, D. & Panchenko, V., 2010. "Efficiency of Continuous Double Auctions under Individual Evolutionary Learning with Full or Limited Information," CeNDEF Working Papers 10-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    2. Rosokha, Yaroslav & Lyu, Xinxin & Tverskoi, Denis & Gavrilets, Sergey, 2025. "Cooperation under the shadow of political inequality," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    3. Robin Nicole & Aleksandra Alori'c & Peter Sollich, 2020. "Fragmentation in trader preferences among multiple markets: Market coexistence versus single market dominance," Papers 2012.04103, arXiv.org, revised Aug 2021.
    4. Olga A. Rud & Jean Paul Rabanal, 2018. "Evolution of markets: a simulation with centralized, decentralized and posted offer formats," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 667-689, August.
    5. Sargent, Thomas J., 2025. "Sources of artificial intelligence," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    6. 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.
    7. Chernov, G. & Susin, I., 2019. "Models of learning in games: An overview," Journal of the New Economic Association, New Economic Association, vol. 44(4), pages 77-125.
    8. 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.
    9. Chiarella, Carl & He, Xue-Zhong & Wei, Lijian, 2015. "Learning, information processing and order submission in limit order markets," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 245-268.
    10. Anufriev, M. & Hommes, C.H. & Philipse, R., 2010. "Evolutionary Selection of Expectations in Positive and Negative Feedback Markets," CeNDEF Working Papers 10-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    11. 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).
    12. Anufriev, Mikhail & Arifovic, Jasmina & Donmez, Anil & Ledyard, John & Panchenko, Valentyn, 2025. "IEL-CDA model: A more accurate theory of behavior in continuous double auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    13. Shira Fano & Marco LiCalzi & Paolo Pellizzari, 2013. "Convergence of outcomes and evolution of strategic behavior in double auctions," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 513-538, July.
    14. 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).
    15. Ruijgrok, Matthijs, 2012. "A single-item continuous double auction game," MPRA Paper 42086, University Library of Munich, Germany.
    16. Yamamoto, Ryuichi, 2019. "Dynamic Predictor Selection And Order Splitting In A Limit Order Market," Macroeconomic Dynamics, Cambridge University Press, vol. 23(5), pages 1757-1792, July.
    17. Yaroslav Rosokha & Xinxin Lyu & Denis Tverskoi & Sergey Gavrilets, 2024. "Cooperation under the Shadow of Political Inequality," Purdue University Economics Working Papers 1350, Purdue University, Department of Economics.
    18. Giamattei, Marcus & Huber, Jürgen & Lambsdorff, Johann Graf & Nicklisch, Andreas & Palan, Stefan, 2020. "Who inflates the bubble? Forecasters and traders in experimental asset markets," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    19. Anufriev, Mikhail & Duffy, John & Panchenko, Valentyn, 2024. "Individual evolutionary learning in repeated beauty contest games," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 550-567.
    20. Lijian Wei & Xiong Xiong & Wei Zhang & Xue-Zhong He & Yongjie Zhang, 2017. "The effect of genetic algorithm learning with a classifier system in limit order markets," Published Paper Series 2017-3, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    21. Lijian Wei & Wei Zhang & Xue-Zhong He & Yongjie Zhang, 2013. "Learning and Information Dissemination in Limit Order Markets," Research Paper Series 333, Quantitative Finance Research Centre, University of Technology, Sydney.
    22. Sabiou Inoua & Vernon Smith, 2023. "Perishable Goods versus Re-tradable Assets: A Theoretical Reappraisal of a Fundamental Dichotomy," Papers 2309.03432, arXiv.org.
    23. Bao, Te & Dai, Yun & Duffy, John, 2025. "Least squares learning? Evidence from the laboratory," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    24. Qixuan Luo & Yu Shi & Xuan Zhou & Handong Li, 2021. "Research on the Effects of Institutional Liquidation Strategies on the Market Based on Multi-agent Model," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1025-1049, December.
    25. Ding, Shuze & Lu, Dong & Puzzello, Daniela, 2025. "The impact of search frictions in experimental asset markets: Over-the-counter versus double auction," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).
    26. Bernales, Alejandro & Ladley, Daniel & Litos, Evangelos & Valenzuela, Marcela, 2025. "Execution risk and price improvement under dark pools," Journal of Economic Dynamics and Control, Elsevier, vol. 179(C).
    27. Florian Hauser & Marco LiCalzi, 2011. "Learning to trade in an unbalanced market," Working Papers 2, Venice School of Management - Department of Management, Università Ca' Foscari Venezia.
    28. Yosra Mefteh Rekik & Younes Boujelbene, 2015. "Price Dynamics and Market Volatility: Behavioral Heterogeneity under Switching Trading Strategies on Artificial Financial Market," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 6(2), pages 33-43, April.

  12. Jasmina Arifovic & Herbert Dawid & Christophe Deissenberg & Olena Kostyshyna, 2008. "Learning Benevolent Leadership in a Heterogenous Agents Economy," Working Papers halshs-00339761, HAL.

    Cited by:

    1. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    2. Zhang, Huanren, 2018. "Errors can increase cooperation in finite populations," Games and Economic Behavior, Elsevier, vol. 107(C), pages 203-219.
    3. Jasmina Arifovic & Murat Yildizoglu, 2019. "Learning the Ramsey Outcome in a Kydland & Prescott Economy," Post-Print hal-03428629, HAL.
    4. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    5. Mauro Napoletano, 2018. "A short walk on the wild side : agent based models and their implications for macroeconomic analysis," Sciences Po Economics Publications (main) hal-03443471, HAL.
    6. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," Sciences Po Economics Publications (main) hal-01070338, HAL.
    7. Jean-Philippe Bouchaud & Stanislao Gualdi & Marco Tarzia & Francesco Zamponi, 2018. "Optimal inflation target: insights from an agent-based model," Post-Print hal-01768441, HAL.
    8. John Duffy & Frank Heinemann, 2016. "Central Bank Reputation, Cheap Talk and Transparency as Substitutes for Commitment: Experimental Evidence," Working Papers 161703, University of California-Irvine, Department of Economics.
    9. Kinda Hachem & Jing Cynthia Wu, 2017. "Inflation Announcements and Social Dynamics," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(8), pages 1673-1713, December.
    10. Di Bartolomeo, Giovanni & Saltari, Enrico & Semmler, Willi, 2019. "The effects of political short-termism on transitions induced by pollution regulations," EconStor Preprints 200143, ZBW - Leibniz Information Centre for Economics.
    11. Silveira, Jaylson Jair da & Lima, Gilberto Tadeu, 2015. "Conquering Credibility for Monetary Policy under Sticky Confidence," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 69(2), June.
    12. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," EconomiX Working Papers 2012-17, University of Paris Nanterre, EconomiX.
    13. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models," Post-Print hal-03461262, HAL.
    14. Bouchaud, Jean-Philippe & Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco, 2018. "Optimal inflation target: Insights from an agent-based model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, vol. 12, pages 1-27.
    15. Cars Hommes & Mario He & Sebastian Poledna & Melissa Siqueira & Yang Zhang, 2022. "CANVAS: A Canadian Behavioral Agent-Based Model," Staff Working Papers 22-51, Bank of Canada.
    16. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    17. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    18. Arifovic, Jasmina & Dawid, Herbert & Nanumyan, Mariam, 2025. "Efficiency gains through social influence in a minimum effort game," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    19. Hommes, Cars & He, Mario & Poledna, Sebastian & Siqueira, Melissa & Zhang, Yang, 2025. "CANVAS: A Canadian behavioral agent-based model for monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    20. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Hétérogénéité des agents, interconnexions financières et politique monétaire : une approche non conventionnelle," GREDEG Working Papers 2018-34, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    21. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Market disequilibrium, monetary policy, and financial markets : insights from new tools," Sciences Po Economics Publications (main) hal-03458215, HAL.
    22. Feldman, Todd, 2018. "Unwinding ZIRP: A simulation analysis," Finance Research Letters, Elsevier, vol. 24(C), pages 278-288.
    23. Takashi Kamihigashi & Corrado Di Guilimi, 2026. "The Effects of Training under the Employment Adjustment Subsidy during the COVID-19 Pandemic: Evidence from Japan," Discussion Paper Series DP2026-13, Research Institute for Economics & Business Administration, Kobe University.
    24. Dawid, Herbert & Hommes, Cars & Petersen, Luba, 2025. "Introduction to the special issue on computational and experimental economics in memory of Jasmina Arifovic," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    25. Isabelle Salle & Marc-Alexandre Sénégas & Murat Yıldızoğlu, 2019. "How transparent about its inflation target should a central bank be?," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 391-427, March.

  13. Jasmina Arifovic & James B. Bullard & Olena Kostyshyna, 2007. "Social learning and monetary policy rules," Working Papers 2007-007, Federal Reserve Bank of St. Louis.

    Cited by:

    1. Pecora, Nicolò & Spelta, Alessandro, 2017. "Managing monetary policy in a New Keynesian model with many beliefs types," Economics Letters, Elsevier, vol. 150(C), pages 53-58.
    2. Evans, George W. & Honkapohja, Seppo, 2007. "Expectations, learning and monetary policy: an overview of recent research," Bank of Finland Research Discussion Papers 32/2007, Bank of Finland.
    3. Pascal Seppecher & Isabelle Salle & Dany Lang, 2019. "Is the market really a good teacher?," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 299-335, March.
    4. Grimaud, Alex, 2021. "Precautionary saving and un-anchored expectations," MPRA Paper 110651, University Library of Munich, Germany.
    5. Isabelle SALLE & Murat YILDIZOGLU & Marc-Alexandre SENEGAS, 2012. "Inflation targeting in a learning economy: An ABM perspective," Cahiers du GREThA (2007-2019) 2012-15, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    6. Jasmina Arifovic, 2019. "Evolution of sunspot like behavior in the agent based economies of bank runs," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 365-389, March.
    7. Hommes, C.H. & Makarewicz, T.A. & Massaro, D. & Smits, T., 2015. "Genetic Algorithm Learning in a New Keynesian Macroeconomic Setup," CeNDEF Working Papers 15-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    8. Sylvain Barde & Sander van Der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," Sciences Po Economics Publications (main) hal-03458672, HAL.
    9. Sargent, Thomas J., 2025. "Sources of artificial intelligence," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    10. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    11. Dawid, H. & Harting, P. & Neugart, M., 2014. "Economic convergence: Policy implications from a heterogeneous agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 54-80.
    12. Salle, Isabelle & Yildizoglu, Murat & Zumpe, Martin & Sénégas, Marc-Alexandre, 2017. "Coordination through social learning in a general equilibrium model," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 64-82.
    13. Gaffeo, Edoardo & Canzian, Giulia, 2011. "The psychology of inflation, monetary policy and macroeconomic instability," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(5), pages 660-670.
    14. Bullard, James & Grimaud, Alex & Salle, Isabelle & Vermandel, Gauthier, 2026. "Soft landing and inflation scares," Journal of Monetary Economics, Elsevier, vol. 157(C).
    15. Anufriev, Mikhail & Arifovic, Jasmina & Donmez, Anil & Ledyard, John & Panchenko, Valentyn, 2025. "IEL-CDA model: A more accurate theory of behavior in continuous double auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    16. Evans, George & McGough, Bruce, 2025. "Social learning and expectational stability," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    17. Isabelle Salle & Pascal Seppecher, 2013. "Social Learning about Consumption," Working Papers hal-00989233, HAL.
    18. Gasteiger, Emanuel, 2016. "Do heterogeneous expectations constitute a challenge for policy interaction?," Discussion Papers 2016/14, Free University Berlin, School of Business & Economics.
    19. Douglas Silveira & Ricardo B. L. M. Oscar, 2024. "Inflation Targeting Regimes in Emerging Market Economies: To Invest or Not to Invest?," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2097-2129, October.
    20. Gomes, Orlando, 2009. "Stability under learning: The endogenous growth problem," Economic Modelling, Elsevier, vol. 26(5), pages 807-816, September.
    21. Georges, Christophre, 2008. "Staggered updating in an artificial financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2809-2825, September.
    22. Mikhail Anufriev & Tiziana Assenza & Cars Hommes & Domenico Massaro, 0000. "Interest Rate Rules and Macroeconomic Stability under Heterogeneous Expectations," Tinbergen Institute Discussion Papers 09-040/1, Tinbergen Institute.
    23. Isabelle SALLE & Martin ZUMPE & Murat YILDIZOGLU & Marc-Alexandre SENEGAS, 2012. "Modelling Social Learning in an Agent-Based New Keynesian Macroeconomic Model," Cahiers du GREThA (2007-2019) 2012-20, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    24. Arifovic, Jasmina & Dawid, Herbert & Nanumyan, Mariam, 2025. "Efficiency gains through social influence in a minimum effort game," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    25. Chengcheng Jia & Jing Cynthia Wu, 2021. "Average Inflation Targeting: Time Inconsistency And Intentional Ambiguity," Working Papers 21-19R, Federal Reserve Bank of Cleveland, revised 01 Feb 2022.
    26. Jasmina Arifovic & Alex Grimaud & Isabelle Salle & Gauthier Vermandel, 2020. "Social Learning and Monetary Policy at the Effective Lower Bound," Staff Working Papers 20-2, Bank of Canada.
    27. Francis X. Diebold & Aaron Mora & Minchul Shin, 2026. "On the Wisdom of Crowds (of Economists)," Working Papers 26-14, Federal Reserve Bank of Philadelphia.
    28. Anufriev, Mikhail & Duffy, John & Panchenko, Valentyn, 2024. "Individual evolutionary learning in repeated beauty contest games," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 550-567.
    29. Mauersberger, Felix & Nagel, Rosemarie, 2025. "Modeling noisy learning in a dynamic oligopoly experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    30. Mikhail Anufriev & Cars Hommes & Tomasz Makarewicz, 2015. "Simple Forecasting Heuristics that Make us Smart: Evidence from Different Market Experiments," Working Paper Series 29, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    31. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
    32. Tomasz Makarewicz, 2017. "Contrarian Behavior, Information Networks and Heterogeneous Expectations in an Asset Pricing Model," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 231-279, August.
    33. Agliari, A. & Massaro, D. & Pecora, N. & Spelta, A., 2014. "Inflation Targeting, Recursive Inattentiveness and Heterogeneous Beliefs," CeNDEF Working Papers 14-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    34. Vicente da Gama Machado, 2012. "Monetary Policy, Asset Prices and Adaptive Learning," Working Papers Series 274, Central Bank of Brazil, Research Department.
    35. Georges, Christophre & Wallace, John C., 2009. "Learning Dynamics And Nonlinear Misspecification In An Artificial Financial Market," Macroeconomic Dynamics, Cambridge University Press, vol. 13(5), pages 625-655, November.
    36. Kurz, Mordecai & Piccillo, Giulia & Wu, Howei, 2013. "Modeling diverse expectations in an aggregated New Keynesian Model," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1403-1433.
    37. Herbert Dawid & Philipp Harting & Sander Hoog & Michael Neugart, 2019. "Macroeconomics with heterogeneous agent models: fostering transparency, reproducibility and replication," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 467-538, March.
    38. Jia, Chengcheng & Wu, Jing Cynthia, 2023. "Average inflation targeting: Time inconsistency and ambiguous communication," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 69-86.
    39. Grimaud, Alex & Salle, Isabelle & Vermandel, Gauthier, 2025. "A Dynare toolbox for social learning expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    40. Grimaud, Alex, 2021. "Precautionary saving and un-anchored expectations," MPRA Paper 108931, University Library of Munich, Germany.
    41. Dawid, Herbert & Hommes, Cars & Petersen, Luba, 2025. "Introduction to the special issue on computational and experimental economics in memory of Jasmina Arifovic," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    42. Luhan, Wolfgang J. & Scharler, Johann, 2014. "Inflation illusion and the Taylor principle: An experimental study," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 94-110.
    43. Gobbi, Lucio & Mazzocchi, Ronny & Tamborini, Roberto, 2019. "Monetary policy, de-anchoring of inflation expectations, and the “new normal”," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    44. Bhatta, Guna Raj & Nepal, Rabindra & Harvie, Charles & Jayanthakumaran, Kankesu, 2022. "Testing for the uncovered interest parity condition in a small open economy: A state space modelling approach," Journal of Asian Economics, Elsevier, vol. 82(C).

  14. Jasmina Arifovic & Alexander Karaivanov, 2007. "Learning by Doing vs. Learning from Others in a Principal-Agent Model," Discussion Papers dp07-24, Department of Economics, Simon Fraser University.

    Cited by:

    1. Chernomaz, K. & Goertz, J.M.M., 2023. "(A)symmetric equilibria and adaptive learning dynamics in small-committee voting," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    2. Salle, Isabelle & Yildizoglu, Murat & Zumpe, Martin & Sénégas, Marc-Alexandre, 2017. "Coordination through social learning in a general equilibrium model," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 64-82.
    3. Anufriev, Mikhail & Arifovic, Jasmina & Donmez, Anil & Ledyard, John & Panchenko, Valentyn, 2025. "IEL-CDA model: A more accurate theory of behavior in continuous double auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    4. Luba Petersen & Jasmina Arifovic, 2015. "Escaping Expectations-Driven Liquidity Traps: Experimental Evidence," Discussion Papers dp15-03, Department of Economics, Simon Fraser University.
    5. Arifovic, Jasmina & Dawid, Herbert & Nanumyan, Mariam, 2025. "Efficiency gains through social influence in a minimum effort game," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    6. Anufriev, Mikhail & Duffy, John & Panchenko, Valentyn, 2024. "Individual evolutionary learning in repeated beauty contest games," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 550-567.
    7. Bernales, Alejandro & Ladley, Daniel & Litos, Evangelos & Valenzuela, Marcela, 2025. "Execution risk and price improvement under dark pools," Journal of Economic Dynamics and Control, Elsevier, vol. 179(C).

  15. Jasmina Arifovic & Alexander Karaivanov, 2006. "Evolutionary Learning in a Principal-Agent Model," 2006 Meeting Papers 505, Society for Economic Dynamics.

    Cited by:

    1. Safarzynska, Karolina & van den Bergh, Jeroen C.J.M., 2010. "Evolving power and environmental policy: Explaining institutional change with group selection," Ecological Economics, Elsevier, vol. 69(4), pages 743-752, February.

  16. John Ledyard & Jasmina Arifovic, 2003. "Computer Testbeds: The Dynamics of Groves-Ledyard Mechanisms," Computing in Economics and Finance 2003 244, Society for Computational Economics.

    Cited by:

    1. Michael Maschek, 2010. "Intelligent Mutation Rate Control in an Economic Application of Genetic Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 35(1), pages 25-49, January.
    2. Sylvie Geisendorf, 2011. "Internal selection and market selection in economic Genetic Algorithms," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 817-841, December.
    3. Matt Van Essen, 2012. "Information complexity, punishment, and stability in two Nash efficient Lindahl mechanisms," Review of Economic Design, Springer;Society for Economic Design, vol. 16(1), pages 15-40, March.
    4. Hailu, Atakelty & Schilizzi, Steven & Thoyer, Sophie, 2005. "Assessing the performance of auctions for the allocation of conservation contracts: Theoretical and computational approaches," 2005 Annual meeting, July 24-27, Providence, RI 19478, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Marco Casari, 2004. "Can Genetic Algorithms Explain Experimental Anomalies?," Computational Economics, Springer;Society for Computational Economics, vol. 24(3), pages 257-275, March.

  17. Michael Maschek & Jasmina Arifovic, 2003. "Expectations and Currency Crisis - An experimental approach," Computing in Economics and Finance 2003 245, Society for Computational Economics.

    Cited by:

    1. Michael Maschek, 2010. "Intelligent Mutation Rate Control in an Economic Application of Genetic Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 35(1), pages 25-49, January.
    2. Shu-Heng Chen & Chung-Ching Tai, 2006. "Republication: On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 313-331, November.
    3. Shu-Heng Chen & Chung-Ching Tai, 2006. "On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(1), pages 51-69, August.
    4. Ke-Hung Lai & Shu-Heng Chen & Ya-Chi Huang, 2005. "Bounded Rationality and the Elasticity Puzzle: What Can We Learn from the Agent-Based Computational Consumption Capital Asset Pricing Model?," Computing in Economics and Finance 2005 207, Society for Computational Economics.

  18. Jasmina Arifovic & John Ledyard, 2002. "Computer Testbeds and Mechanism Design," Computing in Economics and Finance 2002 262, Society for Computational Economics.

    Cited by:

    1. Sylvie Geisendorf, 2018. "Evolutionary Climate-Change Modelling: A Multi-Agent Climate-Economic Model," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 921-951, October.
    2. Yan Chen & Robert Gazzale, 2004. "When Does Learning in Games Generate Convergence to Nash Equilibria? The Role of Supermodularity in an Experimental Setting," American Economic Review, American Economic Association, vol. 94(5), pages 1505-1535, December.
    3. Marco Casari, 2003. "Does bounded rationality lead to individual heterogeneity? The impact of the experimentation process and of memory constraints," UFAE and IAE Working Papers 583.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    4. Marco Casari, 2002. "Can genetic algorithms explain experimental anomalies? An application to common property resources," UFAE and IAE Working Papers 542.02, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).

  19. Arifovic, J. & Eaton, C., 1994. "Coordination via Genetic Learning," Discussion Papers dp94-11, Department of Economics, Simon Fraser University.

    Cited by:

    1. Christoph Zott, 2002. "When Adaptation Fails," Journal of Conflict Resolution, Peace Science Society (International), vol. 46(6), pages 727-753, December.
    2. Rosokha, Yaroslav & Lyu, Xinxin & Tverskoi, Denis & Gavrilets, Sergey, 2025. "Cooperation under the shadow of political inequality," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    3. Edmund Chattoe-Brown, 1998. "Just How (Un)realistic Are Evolutionary Algorithms As Representations of Social Processes?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(3), pages 1-2.
    4. James Bullard & John Duffy, 2010. "Using genetic algorithms to model the evolution of heterogenous beliefs," Levine's Working Paper Archive 550, David K. Levine.
    5. Christos Alexakis & Michael Dowling & Konstantinos Eleftheriou & Michael Polemis, 2021. "Textual Machine Learning: An Application to Computational Economics Research," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 369-385, January.
    6. Dawid, Herbert, 1999. "On the convergence of genetic learning in a double auction market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1545-1567, September.
    7. Arifovic, Jasmina & Dawid, Herbert & Nanumyan, Mariam, 2025. "Efficiency gains through social influence in a minimum effort game," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    8. Jie-Shin Lin, 2005. "Learning in a Network Economy," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 59-74, February.
    9. Clemens, Christiane & Riechmann, Thomas, 1996. "Evolutionäre Optimierungsverfahren und ihr Einsatz in der ökonomischen Forschung," Hannover Economic Papers (HEP) dp-195, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    10. Arifovic, Jasmina & Eaton, B. Curtis, 1998. "The evolution of type communication in a sender/receiver game of common interest with cheap talk," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1187-1207, August.
    11. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    12. Jie-Shin Lin & Chris Birchenhall, 2000. "Learning And Adaptive Artificial Agents: An Analysis Of Evolutionary Economic Models," Computing in Economics and Finance 2000 327, Society for Computational Economics.

  20. Jasmina Arifovic & B. Curtis Eaton & Graeme Walker, "undated". "The Coevolution of Beliefs and Networks," Working Papers 2015-18, Department of Economics, University of Calgary, revised 10 Aug 2015.

    Cited by:

    1. Rapanos, Theodoros, 2023. "What makes an opinion leader: Expertise vs popularity," Games and Economic Behavior, Elsevier, vol. 138(C), pages 355-372.
    2. Arifovic, Jasmina & Eaton, B. Curtis & Walker, Graeme, 2015. "The coevolution of beliefs and networks," Journal of Economic Behavior & Organization, Elsevier, vol. 120(C), pages 46-63.
    3. Neugart, Michael & Yildirim, Selen, 2022. "Heritability in friendship networks," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 41-55.
    4. Steven Kivinen, 2017. "Polarization in Strategic Networks," Working Papers daleconwp2017-01, Dalhousie University, Department of Economics.
    5. Mauleon, Ana & Nanumyan, Mariam & Schopohl, Simon & Vannetelbosch, Vincent, 2023. "Unions and key players in network games with conflicts and spillovers," LIDAM Discussion Papers CORE 2023012, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Anufriev, Mikhail & Borissov, Kirill & Pakhnin, Mikhail, 2023. "Dissonance minimization and conversation in social networks," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 167-191.
    7. David Goldbaum, 2016. "Networks formation to assist decision making," Working Paper Series 37, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    8. Ascensión Andina-Díaz & José A. García-Martínez & Antonio Parravano, 2019. "The market for scoops: a dynamic approach," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 175-206, June.
    9. David Goldbaum, 2016. "Conformity and Influence," Working Paper Series 35, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    10. Antonio Parravano & Ascensión Andina-Díaz & Miguel A Meléndez-Jiménez, 2016. "Bounded Confidence under Preferential Flip: A Coupled Dynamics of Structural Balance and Opinions," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-23, October.
    11. Gustavo Adolfo Caballero Orozco, 2016. "Luck and Effort: Learning about Income from Friends and Neighbors," 2016 Papers pca706, Job Market Papers.

Articles

  1. Arifovic, Jasmina & Dawid, Herbert & Nanumyan, Mariam, 2025. "Efficiency gains through social influence in a minimum effort game," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).

    Cited by:

    1. Patrick Mellacher & Teresa Lackner, 2026. "Opinion Dynamics in a Social Conflict," Graz Economics Papers 2026-04, University of Graz, Department of Economics.

  2. Jasmina Arifovic & Alex Grimaud & Isabelle Salle & Gauthier Vermandel, 2025. "Social Learning and Monetary Policy at the Effective Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 57(2-3), pages 439-475, March.
    See citations under working paper version above.
  3. Anufriev, Mikhail & Arifovic, Jasmina & Donmez, Anil & Ledyard, John & Panchenko, Valentyn, 2025. "IEL-CDA model: A more accurate theory of behavior in continuous double auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).

    Cited by:

    1. Arturo Macías, 2025. "The Agentic Perspective in Experimental Economics," Games, MDPI, vol. 16(5), pages 1-11, September.

  4. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).

    Cited by:

    1. Rosokha, Yaroslav & Lyu, Xinxin & Tverskoi, Denis & Gavrilets, Sergey, 2025. "Cooperation under the shadow of political inequality," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    2. Syngjoo Choi & Bongseop Kim & Young-Sik Kim & Ohik Kwon & Soeun Park, 2025. "Predicting the payment preference for CBDC: a discrete choice experiment," BIS Working Papers 1296, Bank for International Settlements.
    3. Marcos Cardozo & Yaroslav Rosokha & Cathy Zhang, 2024. "On the Emergence of International Currencies: An Experimental Approach," Purdue University Economics Working Papers 1351, Purdue University, Department of Economics.
    4. Cardozo, Marcos & Rosokha, Yaroslav & Zhang, Cathy, 2024. "On the emergence of international currencies: An experimental approach," Journal of Economic Behavior & Organization, Elsevier, vol. 228(C).
    5. Magin, Jana Anjali & Neyer, Ulrike & Stevens, Alexandra, 2026. "Central bank digital currency as a new means of payment: An experimental approach," DICE Discussion Papers 435, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    6. Yaroslav Rosokha & Xinxin Lyu & Denis Tverskoi & Sergey Gavrilets, 2024. "Cooperation under the Shadow of Political Inequality," Purdue University Economics Working Papers 1350, Purdue University, Department of Economics.
    7. Anufriev, Mikhail & Duffy, John & Panchenko, Valentyn, 2024. "Individual evolutionary learning in repeated beauty contest games," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 550-567.
    8. Magin, Jana & Neyer, Ulrike & Stevens, Alexandra, 2025. "Central Bank Digital Currency as a New Means of Payment: An Experimental Approach," VfS Annual Conference 2025 (Cologne): Revival of Industrial Policy 325448, Verein für Socialpolitik / German Economic Association.
    9. Dawid, Herbert & Hommes, Cars & Petersen, Luba, 2025. "Introduction to the special issue on computational and experimental economics in memory of Jasmina Arifovic," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).

  5. Jasmina Arifovic & Cars Hommes & Anita Kopányi-Peuker & Isabelle Salle, 2023. "Ten Isn't Large! Group Size and Coordination in a Large-Scale Experiment," American Economic Journal: Microeconomics, American Economic Association, vol. 15(1), pages 580-617, February.
    See citations under working paper version above.
  6. 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).

    Cited by:

    1. Rosokha, Yaroslav & Lyu, Xinxin & Tverskoi, Denis & Gavrilets, Sergey, 2025. "Cooperation under the shadow of political inequality," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    2. Chernomaz, K. & Goertz, J.M.M., 2023. "(A)symmetric equilibria and adaptive learning dynamics in small-committee voting," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    3. Anufriev, Mikhail & Arifovic, Jasmina & Donmez, Anil & Ledyard, John & Panchenko, Valentyn, 2025. "IEL-CDA model: A more accurate theory of behavior in continuous double auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    4. Arifovic, Jasmina & de Jong, Johan & Kopányi-Peuker, Anita, 2024. "Bank choice, bank runs, and coordination in the presence of two banks," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 392-410.
    5. Kyra Hanemaaijer & Olivier Marie & Marco Musumeci, 2023. "The Fast and The Studious? Ramadan Observance and Student Performance," Tinbergen Institute Discussion Papers 23-023/V, Tinbergen Institute.
    6. Anufriev, Mikhail & Duffy, John & Panchenko, Valentyn, 2024. "Individual evolutionary learning in repeated beauty contest games," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 550-567.
    7. Ding, Shuze & Lu, Dong & Puzzello, Daniela, 2025. "The impact of search frictions in experimental asset markets: Over-the-counter versus double auction," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).

  7. Arifovic, Jasmina & He, Xue-zhong & Wei, Lijian, 2022. "Machine learning and speed in high-frequency trading," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).

    Cited by:

    1. Conlon, Thomas & Cotter, John & Ropotos, Ioannis, 2026. "Drivers of firm-level tail dependence: A machine learning approach," Journal of Economic Dynamics and Control, Elsevier, vol. 182(C).
    2. Zhou, Xuan & Lin, Shen & He, Xue-Zhong, 2025. "Reinforcement learning and rational expectations equilibrium in limit order markets," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    3. Breckenfelder, Johannes, 2024. "Competition among high-frequency traders and market quality," Journal of Economic Dynamics and Control, Elsevier, vol. 166(C).
    4. Carè, Rosella & Cumming, Douglas, 2024. "Technology and automation in financial trading: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 71(C).
    5. Jang, Hyun Jin & Najmiddinov, Bekhzodbek, 2025. "Profitability of high-frequency market-making under market instability and manipulative behaviors," Finance Research Letters, Elsevier, vol. 86(PE).
    6. Thai Nguyen & Pertiny Nkuize, 2026. "Optimal Investment and Entropy-Regularized Learning Under Stochastic Volatility Models with Portfolio Constraints," Papers 2604.22188, arXiv.org.
    7. Quintiliani, Andrea, 2025. "Small and medium-sized enterprises and sustainable transition: Role of FinTech in a country's banking ecosystem," Research in International Business and Finance, Elsevier, vol. 73(PA).
    8. Bao-Jun Tang & Kun-Ben Lin & Jing-Bo Huang & Hung-Wen Lin, 2022. "The Hesitation of Anxious Traders in an Agent‐Based Model," Complexity, John Wiley & Sons, vol. 2022(1).
    9. Kou, Mingting & Yang, Yuanqi & Chen, Kaihua, 2024. "Financial technology research: Past and future trajectories," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 162-181.
    10. Choudhary, Priya & Thenmozhi, M., 2024. "Fintech and financial sector: ADO analysis and future research agenda," International Review of Financial Analysis, Elsevier, vol. 93(C).
    11. Buis, Boyd & Pieterse-Bloem, Mary & Verschoor, Willem F.C. & Zwinkels, Remco C.J., 2024. "Gamma positioning and market quality," Journal of Economic Dynamics and Control, Elsevier, vol. 164(C).
    12. He, Xue-Zhong & Lin, Shen, 2022. "Reinforcement Learning Equilibrium in Limit Order Markets," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    13. Bernales, Alejandro & Ladley, Daniel & Litos, Evangelos & Valenzuela, Marcela, 2025. "Execution risk and price improvement under dark pools," Journal of Economic Dynamics and Control, Elsevier, vol. 179(C).
    14. Adamantios Ntakaris & Gbenga Ibikunle, 2024. "Minimal Batch Adaptive Learning Policy Engine for Real-Time Mid-Price Forecasting in High-Frequency Trading," Papers 2412.19372, arXiv.org, revised Dec 2024.

  8. Arifovic, Jasmina & Evans, George W. & Kostyshyna, Olena, 2020. "Are sunspots learnable? An experimental investigation in a simple macroeconomic model," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).

    Cited by:

    1. Jasmina Arifovic & Cars Hommes & Anita Kopányi-Peuker & Isabelle Salle, 2020. "Ten isn’t large! Group size and coordination in a large-scale experiment," Staff Working Papers 20-30, Bank of Canada.
    2. Dawid, Herbert & Hommes, Cars & Petersen, Luba, 2025. "Introduction to the special issue on computational and experimental economics in memory of Jasmina Arifovic," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).

  9. Arifovic, Jasmina & Boitnott, Joshua F. & Duffy, John, 2019. "Learning correlated equilibria: An evolutionary approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 171-190.

    Cited by:

    1. Siebert, Jan & Yang, Guanzhong, 2017. "Discoordination and miscoordination caused by sunspots in the laboratory," Working Papers on East Asian Studies 114/2017, University of Duisburg-Essen, Institute of East Asian Studies IN-EAST.
    2. Rosokha, Yaroslav & Lyu, Xinxin & Tverskoi, Denis & Gavrilets, Sergey, 2025. "Cooperation under the shadow of political inequality," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    3. Alejandro Lee-Penagos, 2016. "Learning to Coordinate: Co-Evolution and Correlated Equilibrium," Discussion Papers 2016-11, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    4. Chernomaz, K. & Goertz, J.M.M., 2023. "(A)symmetric equilibria and adaptive learning dynamics in small-committee voting," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    5. 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).
    6. Jasmina Arifovic & Alex Grimaud & Isabelle Salle & Gauthier Vermandel, 2025. "Social Learning and Monetary Policy at the Effective Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 57(2-3), pages 439-475, March.
    7. Friedman, Daniel & Rabanal, Jean Paul & Rud, Olga A. & Zhao, Shuchen, 2022. "On the empirical relevance of correlated equilibrium," Journal of Economic Theory, Elsevier, vol. 205(C).
    8. Anufriev, Mikhail & Arifovic, Jasmina & Donmez, Anil & Ledyard, John & Panchenko, Valentyn, 2025. "IEL-CDA model: A more accurate theory of behavior in continuous double auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    9. Abraham Aldama & Daniel Draganoff & Gantavya Pahwa, 2024. "An experiment in the role of identity in fostering coordination," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 10(2), pages 294-309, December.
    10. Marcelle Caroline Thimotheo de Brito & Amaro O. Pereira Junior & Mario Veiga Ferraz Pereira & Julio César Cahuano Simba & Sergio Granville, 2022. "Competitive Behavior of Hydroelectric Power Plants under Uncertainty in Spot Market," Energies, MDPI, vol. 15(19), pages 1-22, October.
    11. Forges, Françoise & Ray, Indrajit, 2024. "“Subjectivity and correlation in randomized strategies”: Back to the roots," Journal of Mathematical Economics, Elsevier, vol. 114(C).
    12. Jasmina Arifovic & John Duffy & Janet Jiang, 2017. "Adoption of a New Payment System: Theory and Experimental Evidence," Working Papers 171801, University of California-Irvine, Department of Economics.
    13. Siebert, Jan & Yang, Guanzhong, 2020. "Coordination problems triggered by sunspots in the laboratory," Ruhr Economic Papers 848, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    14. Chiara Scarampi & Richard Fairchild & Luca Fumarco & Alberto Palermo & Neal Hinvest, 2021. "Social Metacognition: A Correlational Device for Strategic Interactions," Working Papers 2111, Tulane University, Department of Economics.
    15. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    16. Anufriev, Mikhail & Duffy, John & Panchenko, Valentyn, 2024. "Individual evolutionary learning in repeated beauty contest games," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 550-567.
    17. Trivikram Dokka & Jorge Bruno & Sonali SenGupta & Chowdhury Mohammad Sakib Anwar, 2022. "Pricing and Electric Vehicle Charging Equilibria," Papers 2210.15035, arXiv.org, revised Dec 2022.
    18. Dokka, Trivikram & Bruno, Jorge & SenGupta, Sonali & Anwar, Sakib, 2022. "Pricing and Electric Vehicle Charging Equilibria," QBS Working Paper Series 2022/10, Queen's University Belfast, Queen's Business School.

  10. Jasmina Arifovic, 2019. "Evolution of sunspot like behavior in the agent based economies of bank runs," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 365-389, March.

    Cited by:

    1. Chernomaz, K. & Goertz, J.M.M., 2023. "(A)symmetric equilibria and adaptive learning dynamics in small-committee voting," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    2. Giovanni Dosi & Andrea Roventini, 2019. "More is different ... and complex! the case for agent-based macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 1-37, March.
    3. Arifovic, Jasmina & de Jong, Johan & Kopányi-Peuker, Anita, 2024. "Bank choice, bank runs, and coordination in the presence of two banks," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 392-410.
    4. Kyra Hanemaaijer & Olivier Marie & Marco Musumeci, 2023. "The Fast and The Studious? Ramadan Observance and Student Performance," Tinbergen Institute Discussion Papers 23-023/V, Tinbergen Institute.
    5. Toni Ricardo Eugenio dos Santos & Marcio Issao Nakane, 2021. "Dynamic bank runs: an agent-based approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 675-703, July.

  11. Arifovic, Jasmina & Hommes, Cars & Salle, Isabelle, 2019. "Learning to believe in simple equilibria in a complex OLG economy - evidence from the lab," Journal of Economic Theory, Elsevier, vol. 183(C), pages 106-182.
    See citations under working paper version above.
  12. Arifovic, Jasmina & Jiang, Janet Hua, 2019. "Strategic uncertainty and the power of extrinsic signals– evidence from an experimental study of bank runs," Journal of Economic Behavior & Organization, Elsevier, vol. 167(C), pages 1-17.

    Cited by:

    1. Funaki, Yukihiko & Kawamura, Kohei & Ueda, Kozo & Uto, Nobuyuki, 2025. "Price stickiness and strategic uncertainty: An experimental study," Journal of Economic Dynamics and Control, Elsevier, vol. 180(C).
    2. Pietro Battiston & Sharon G. Harrison, 2019. "Believe it or not: Experimental Evidence on Sunspot Equilibria with Social Networks," Working Papers 422, University of Milano-Bicocca, Department of Economics, revised Nov 2019.
    3. Arianna Degan & Ming Li & Huan Xie, 2023. "An experimental investigation of persuasion through selective disclosure of evidence," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(4), pages 1490-1516, November.
    4. Jasmina Arifovic & Cars Hommes & Anita Kopányi-Peuker & Isabelle Salle, 2023. "Ten Isn't Large! Group Size and Coordination in a Large-Scale Experiment," American Economic Journal: Microeconomics, American Economic Association, vol. 15(1), pages 580-617, February.
    5. Tan, Jonathan H.W. & Zhao, Zichen & Zizzo, Daniel John, 2025. "Inference from field and laboratory experiments in economics: empirical evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 235(C).
    6. Arifovic, Jasmina & de Jong, Johan & Kopányi-Peuker, Anita, 2024. "Bank choice, bank runs, and coordination in the presence of two banks," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 392-410.
    7. Isarin Durongkadej & Heng Emily Wang, 2025. "Data Breach Announcement Effect on Bank Loans, Deposits, and Stock Performance," Journal of Financial Services Research, Springer;Western Finance Association, vol. 68(3), pages 423-460, December.
    8. Kyra Hanemaaijer & Olivier Marie & Marco Musumeci, 2023. "The Fast and The Studious? Ramadan Observance and Student Performance," Tinbergen Institute Discussion Papers 23-023/V, Tinbergen Institute.
    9. Chakravarty, Surajeet & Choo, Lawrence & Fonseca, Miguel A. & Kaplan, Todd R., 2021. "Should regulators always be transparent? a bank run experiment," European Economic Review, Elsevier, vol. 136(C).
    10. Hubert J. Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2021. "Experimental Bank Runs," ThE Papers 21/03, Department of Economic Theory and Economic History of the University of Granada..
    11. Guy Aridor & Rava Azeredo da Silveira & Michael Woodford, 2024. "Information-Constrained Coordination of Economic Behavior," CESifo Working Paper Series 10935, CESifo.
    12. Heinemann, Frank, 2024. "An experimental test of the global-game selection in coordination games with asymmetric players," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 632-656.
    13. Jan Libich & Dat Thanh Nguyen & Hubert Janos Kiss, 2023. "Running Out of Bank Runs," Journal of Financial Services Research, Springer;Western Finance Association, vol. 64(1), pages 1-39, August.
    14. Kets, Willemien & Kager, Wouter & Sandroni, Alvaro, 2021. "The Value of a Coordination Game," SocArXiv ymzrd, Center for Open Science.

  13. Arifovic, Jasmina & Schmitt-Grohé, Stephanie & Uribe, Martín, 2018. "Learning to live in a liquidity trap," Journal of Economic Dynamics and Control, Elsevier, vol. 89(C), pages 120-136.
    See citations under working paper version above.
  14. Jasmina Arifovic & John Ledyard, 2018. "Learning to alternate," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 692-721, September.

    Cited by:

    1. Rosokha, Yaroslav & Lyu, Xinxin & Tverskoi, Denis & Gavrilets, Sergey, 2025. "Cooperation under the shadow of political inequality," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    2. Chernomaz, K. & Goertz, J.M.M., 2023. "(A)symmetric equilibria and adaptive learning dynamics in small-committee voting," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    3. Chernov, G. & Susin, I., 2019. "Models of learning in games: An overview," Journal of the New Economic Association, New Economic Association, vol. 44(4), pages 77-125.
    4. Zhao, Shuchen, 2021. "Taking turns in continuous time," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 257-279.
    5. 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).
    6. Anufriev, Mikhail & Arifovic, Jasmina & Donmez, Anil & Ledyard, John & Panchenko, Valentyn, 2025. "IEL-CDA model: A more accurate theory of behavior in continuous double auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    7. Cars Hommes & Stefanie J. Huber & Daria Minina & Isabelle Salle, 2023. "Learning in a Complex World: Insights from an OLG Lab Experiment," Staff Working Papers 23-13, Bank of Canada.
    8. He, Simin & Wu, Jiabin, 2020. "Compromise and coordination: An experimental study," Games and Economic Behavior, Elsevier, vol. 119(C), pages 216-233.
    9. Konstantin Chatziathanasiou & Svenja Hippel & Michael Kurschilgen, 2020. "Property, Redistribution, and the Status Quo," Munich Papers in Political Economy 02, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    10. Camera, Gabriele & Gioffré, Alessandro, 2025. "Cooperation in temporary partnerships," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    11. Sheryl Ball & Chetan Dave & Stefan Dodds, 2023. "Enumerating rights: more is not always better," Public Choice, Springer, vol. 196(3), pages 403-425, September.
    12. Christos A. Ioannou, 2026. "Machine games: theory and experimental evidence," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 81(1), pages 43-75, February.
    13. Konstantin Chatziathanasiou & Svenja Hippel & Michael Kurschilgen, 2021. "Property, redistribution, and the status quo: a laboratory study," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 919-951, September.
    14. Anufriev, Mikhail & Duffy, John & Panchenko, Valentyn, 2024. "Individual evolutionary learning in repeated beauty contest games," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 550-567.
    15. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    16. Elif Akata & Lion Schulz & Julian Coda-Forno & Seong Joon Oh & Matthias Bethge & Eric Schulz, 2025. "Playing repeated games with large language models," Nature Human Behaviour, Nature, vol. 9(7), pages 1380-1390, July.

  15. Arifovic, Jasmina & Petersen, Luba, 2017. "Stabilizing expectations at the zero lower bound: Experimental evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 21-43.

    Cited by:

    1. Anita (A.G.) Kopanyi-Peuker & Matthias Weber, 2018. "Experience Does not Eliminate Bubbles: Experimental Evidence," Tinbergen Institute Discussion Papers 18-092/II, Tinbergen Institute.
    2. Ryan Rholes & Luba Petersen, 2020. "Should central banks communicate uncertainty in their projections?," Discussion Papers dp20-01, Department of Economics, Simon Fraser University.
    3. Camille Cornand & Cheick Kader M'baye, 2016. "Band or Point Inflation Targeting? An Experimental Approach," Working Papers 1616, Groupe d'Analyse et de Théorie Economique Lyon St-Etienne (GATE Lyon St-Etienne), Université de Lyon.
    4. Petersen, Luba & Rholes, Ryan, 2022. "Macroeconomic expectations, central bank communication, and background uncertainty: A COVID-19 laboratory experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    5. John Duffy & Daniela Puzzello, 2019. "The Friedman Rule in the Laboratory," 2019 Meeting Papers 541, Society for Economic Dynamics.
    6. Cornand, Camille & Hubert, Paul, 2020. "On the external validity of experimental inflation forecasts: A comparison with five categories of field expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    7. Assenza, T. & Heemeijer, P. & Hommes, C.H. & Massaro, D., 2021. "Managing self-organization of expectations through monetary policy: A macro experiment," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 170-186.
    8. Aleksei Chernulich & John Horowitz & Jean Paul Rabanal & Olga Rud & Manizha Sharifova, 2023. "Entry and exit decisions under public and private information: an experiment," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 339-356, April.
    9. Hommes, Cars & Makarewicz, Tomasz, 2021. "Price level versus inflation targeting under heterogeneous expectations: a laboratory experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 39-82.
    10. Camille Cornand & Paul Hubert, 2020. "On the external validity of experimental inflation forecasts: A comparison with five categories of field expectations," Sciences Po Economics Publications (main) halshs-01890770, HAL.
    11. Nobuyuki Hanaki & Cars Hommes & Dávid Kopányi & Anita Kopányi-Peuker & Jan Tuinstra, 2023. "Forecasting returns instead of prices exacerbates financial bubbles," Experimental Economics, Springer;Economic Science Association, vol. 26(5), pages 1185-1213, November.
    12. Fatemeh Mokhtarzadeh & Luba Petersen, 2021. "Coordinating expectations through central bank projections," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 883-918, September.
    13. Salle, Isabelle, 2022. "Comment on “No firm is an island? How industry conditions shape firms’ expectations” by Philippe Andrade, Olivier Coibion, Erwan Gautier and Yuriy Gorodnichenko," Journal of Monetary Economics, Elsevier, vol. 125(C), pages 57-61.
    14. Camille Cornand & Paul Hubert, 2020. "On the external validity of experimental inflation forecasts," Sciences Po Economics Publications (main) hal-02894262, HAL.
    15. Kryvtsov, Oleksiy & Petersen, Luba, 2021. "Central bank communication that works: Lessons from lab experiments," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 760-780.
    16. John Duffy & Daniela Puzzello, 2022. "The Friedman Rule: Experimental Evidence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(2), pages 671-698, May.
    17. Camille Cornand & Frank Heinemann, 2019. "Experiments in macroeconomics: methods and applications," Post-Print halshs-01809937, HAL.
    18. Camille Cornand & Maria Alejandra Erazo Diaz & Adam Zylbersztejn, 2023. "Trading and Cognition in Asset Markets: An Eye-tracking Experiment," Working Papers hal-04074298, HAL.
    19. Ahrens, Steffen & Lustenhouwer, Joep & Tettamanzi, Michele, 2023. "The Stabilizing Effects of Publishing Strategic Central Bank Projections," Macroeconomic Dynamics, Cambridge University Press, vol. 27(3), pages 826-868, April.
    20. Rholes, Ryan & Petersen, Luba, 2021. "Should central banks communicate uncertainty in their projections?," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 320-341.
    21. Myrna Hennequin & Cars Hommes, 2024. "Managing Bubbles in Experimental Asset Markets with Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(2-3), pages 429-454, March.
    22. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    23. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    24. Anufriev, Mikhail & Chernulich, Aleksei & Tuinstra, Jan, 2022. "Asset price volatility and investment horizons: An experimental investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 19-48.
    25. Anufriev, Mikhail & Lamantia, Fabio & Radi, Davide & Tichy, Tomas, 2025. "Leaning against the wind in the New Keynesian model with heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    26. Kresta Aleš & Sedláková Michaela, 2025. "How initial price history influences expectation formation in multi-asset experimental markets: An exploratory case study," Economics and Business Review, Sciendo, vol. 11(2), pages 7-37.
    27. Kronick, Jeremy & Petersen, Luba, 2025. "Is monetary and fiscal policy conflict that dire?," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    28. Muhammed Bulutay & Camille Cornand & Adam Zylbersztejn, 2020. "Learning to deal with repeated shocks under strategic complementarity: An experiment," Working Papers halshs-02458140, HAL.
    29. Andrea Sbarile, 2022. "Book review: “The Behavioral Economics of Inflation Expectations: Macroeconomics Meets Psychology"," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 75(1), pages 131-134.
    30. Marieh Azizirad, 2022. "Fisher vs Keynes: Does an Interest Rate Hike Cause Inflation to Increase or Decrease?," Discussion Papers dp22-08, Department of Economics, Simon Fraser University.
    31. Mitja Steinbacher & Matthias Raddant & Fariba Karimi & Eva Camacho Cuena & Simone Alfarano & Giulia Iori & Thomas Lux, 2021. "Advances in the agent-based modeling of economic and social behavior," SN Business & Economics, Springer, vol. 1(7), pages 1-24, July.
    32. Zhou Lu & Te Bao & Xiaohua Yu, 2021. "Gender and Bubbles in Experimental Markets with Positive and Negative Expectation Feedback," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1307-1326, April.
    33. Janet Hua Jiang & Daniela Puzzello & Cathy Zhang, 2023. "Inflation, Output, and Welfare in the Laboratory," Staff Working Papers 23-11, Bank of Canada.
    34. Salle, Isabelle L., 2023. "What to target? Insights from a lab experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 514-533.
    35. Camille Cornand & Paul Hubert, 2020. "On the external validity of experimental inflation forecasts: A comparison with five categories of field expectations," Post-Print halshs-01890770, HAL.
    36. Ahrens, Steffen & Lustenhouwer, Joep & Tettamanzi, Michele, 2018. "The stabilizing role of forward guidance: A macro experiment," BERG Working Paper Series 137, Bamberg University, Bamberg Economic Research Group.
    37. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
    38. Chernulich, Aleksei & Horowitz, John & Rabanal, Jean Paul & Rud, Olga A & Sharifova , Manizha, 2021. "Entry and exit decisions under public and private information: An experiment," UiS Working Papers in Economics and Finance 2021/3, University of Stavanger.
    39. Dawid, Herbert & Hommes, Cars & Petersen, Luba, 2025. "Introduction to the special issue on computational and experimental economics in memory of Jasmina Arifovic," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    40. Cars Hommes & Domenico Massaro & Isabelle Salle, 2019. "Monetary And Fiscal Policy Design At The Zero Lower Bound: Evidence From The Lab," Economic Inquiry, Western Economic Association International, vol. 57(2), pages 1120-1140, April.
    41. John Duffy, 2022. "Why macroeconomics needs experimental evidence," The Japanese Economic Review, Springer, vol. 73(1), pages 5-29, January.

  16. Arifovic, Jasmina & Eaton, B. Curtis & Walker, Graeme, 2015. "The coevolution of beliefs and networks," Journal of Economic Behavior & Organization, Elsevier, vol. 120(C), pages 46-63.
    See citations under working paper version above.
  17. 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.
    See citations under working paper version above.
  18. Arifovic, Jasmina & Hua Jiang, Janet & Xu, Yiping, 2013. "Experimental evidence of bank runs as pure coordination failures," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2446-2465.

    Cited by:

    1. Douglas D. Davis & Robert Reilly, 2015. "On Freezing Depositor Funds at Financially Distressed Banks: An Experimental Analysis," Working Papers 1501, VCU School of Business, Department of Economics.
    2. Arturo Macías, 2025. "The Agentic Perspective in Experimental Economics," Games, MDPI, vol. 16(5), pages 1-11, September.
    3. Martin Dufwenberg, 2014. "Banking on Experiments?," Working Papers 534, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    4. Gergely Horváth & Hubert János Kiss, 2014. "Correlated observations, the law of small numbers and bank runs," KRTK-KTI WORKING PAPERS 1429, Institute of Economics, Centre for Economic and Regional Studies.
    5. John Duffy & Aikaterini Karadimitropoulou & Melanie Parravano, 2019. "Financial Contagion in the Laboratory: Does Network Structure Matter?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(5), pages 1097-1136, August.
    6. Noemi Schmitt & Frank Westerhoff, 2017. "Heterogeneity, spontaneous coordination and extreme events within large-scale and small-scale agent-based financial market models," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1041-1070, November.
    7. Jacopo Magnani & David Munro, 2020. "Dynamic runs and circuit breakers: an experiment," Experimental Economics, Springer;Economic Science Association, vol. 23(1), pages 127-153, March.
    8. König-Kersting, Christian & Trautmann, Stefan T. & Vlahu, Razvan, 2020. "Bank instability: Interbank linkages and the role of disclosure," Bank of Finland Research Discussion Papers 14/2020, Bank of Finland.
    9. Luba Petersen & Jasmina Arifovic, 2015. "Escaping Expectations-Driven Liquidity Traps: Experimental Evidence," Discussion Papers dp15-03, Department of Economics, Simon Fraser University.
    10. Ziyu Chen & Jili Kong, 2023. "Research on Shared Logistics Decision Based on Evolutionary Game and Income Distribution," Sustainability, MDPI, vol. 15(11), pages 1-24, May.
    11. Martin Brown & Stefan T. Trautmann & Razvan Vlahu, 2017. "Understanding Bank-Run Contagion," Management Science, INFORMS, vol. 63(7), pages 2272-2282, July.
    12. Fernando Martin & Aleksander Berentsen & David Andolfatto, 2016. "Financial Fragility in Monetary Economies," 2016 Meeting Papers 1626, Society for Economic Dynamics.
    13. Giuseppe Danese & Luigi Mittone, 2022. "The Tragedy of the Masks: curbing stockpiling behavior through a 'victim'," CEEL Working Papers 2201, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    14. Kiss, Hubert Janos & Rodriguez-Lara, Ismael & Rosa-García, Alfonso, 2014. "Do social networks prevent or promote bank runs?," Journal of Economic Behavior & Organization, Elsevier, vol. 101(C), pages 87-99.
    15. Shakina, Ekaterina & Angerer, Martin, 2018. "Coordination and communication during bank runs," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 115-130.
    16. Hubert Janos Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2012. "Do Social Networks Prevent Bank Runs?," Discussion Papers in Economic Behaviour 0812, University of Valencia, ERI-CES.
    17. Ivan Vassilyev, 2024. "Bank Runs: Regulation Vs. Coordination Problem," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 18(1), pages 119-128.
    18. Kiss, Hubert J. & Rodriguez-Lara, Ismael & Rosa-Garcia, Alfonso, 2022. "Preventing (panic) bank runs," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    19. Jasmina Arifovic & Janet Hua Jiang, 2014. "Do Sunspots Matter? Evidence from an Experimental Study of Bank Runs," Staff Working Papers 14-12, Bank of Canada.
    20. Jasmina Arifovic, 2019. "Evolution of sunspot like behavior in the agent based economies of bank runs," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 365-389, March.
    21. Aridor, Guy & Azeredo da Silveira, Rava & Woodford, Michael, 2025. "Information-constrained coordination of economic behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    22. Ettore Panetti, 2016. "Bank Runs: Theories and Policy Applications," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    23. Bosch-Rosa, Ciril, 2018. "That's how we roll: An experiment on rollover risk," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 495-510.
    24. Federico Belotti & Eloisa Campioni & Vittorio Larocca & Francesca Marazzi & Luca Panaccione & Andrea Piano Mortari, 2021. "Born to Run: Adaptive and Strategic Behavior in Experimental Bank-Run Games," CEIS Research Paper 529, Tor Vergata University, CEIS, revised 13 Dec 2021.
    25. Markus Kinateder & Hubert János Kiss & Ágnes Pintér, 2020. "Would depositors pay to show that they do not withdraw? Theory and experiment," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 873-894, September.
    26. Stephane Verani & Borghan Narajabad & Nathan Foley-Fisher, 2016. "Self-fulfilling Runs: Evidence from the U.S. Life Insurance Industry," 2016 Meeting Papers 414, Society for Economic Dynamics.
    27. Eloisa Campioni & Vittorio Larocca & Loredana Mirra & Luca Panaccione, 2017. "Financial literacy and bank runs: an experimental analysis," CEIS Research Paper 402, Tor Vergata University, CEIS, revised 07 Jul 2017.
    28. Arifovic, Jasmina & Petersen, Luba, 2017. "Stabilizing expectations at the zero lower bound: Experimental evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 21-43.
    29. Arifovic, Jasmina & de Jong, Johan & Kopányi-Peuker, Anita, 2024. "Bank choice, bank runs, and coordination in the presence of two banks," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 392-410.
    30. Bucher, Monika & Dietrich, Diemo & Tvede, Mich, 2018. "Coordination failures, bank runs and asset prices," Discussion Papers 39/2018, Deutsche Bundesbank.
    31. Maria Semenova, 2018. "A Bank Run in a Classroom: Do Smart Depositors Withdraw on Time?," HSE Working papers WP BRP 64/FE/2018, National Research University Higher School of Economics.
    32. Oana Peia & Radu Vranceanu, 2017. "Experimental evidence on bank runs under partial deposit insurance," Working Papers hal-01510692, HAL.
    33. Gabriele Camera & Marco Casari & Stefania Bortolotti, 2015. "An Experiment on Retail Payments Systems," Working Papers 15-13, Chapman University, Economic Science Institute.
    34. Kyra Hanemaaijer & Olivier Marie & Marco Musumeci, 2023. "The Fast and The Studious? Ramadan Observance and Student Performance," Tinbergen Institute Discussion Papers 23-023/V, Tinbergen Institute.
    35. Hubert J. Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2020. "Who withdraws first? Line formation during bank runs," ThE Papers 20/02, Department of Economic Theory and Economic History of the University of Granada..
    36. Hubert J. Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2021. "Experimental Bank Runs," ThE Papers 21/03, Department of Economic Theory and Economic History of the University of Granada..
    37. Guy Aridor & Rava Azeredo da Silveira & Michael Woodford, 2024. "Information-Constrained Coordination of Economic Behavior," CESifo Working Paper Series 10935, CESifo.
    38. Hubert Janos Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2018. "Who runs first to the bank?," KRTK-KTI WORKING PAPERS 1826, Institute of Economics, Centre for Economic and Regional Studies.
    39. Heinemann, Frank, 2024. "An experimental test of the global-game selection in coordination games with asymmetric players," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 632-656.
    40. Arifovic, Jasmina & Jiang, Janet Hua, 2019. "Strategic uncertainty and the power of extrinsic signals– evidence from an experimental study of bank runs," Journal of Economic Behavior & Organization, Elsevier, vol. 167(C), pages 1-17.
    41. Belotti, Federico & Campioni, Eloisa & Larocca, Vittorio & Marazzi, Francesca & Panaccione, Luca & Piano Mortari, Andrea, 2024. "Coordination failure in experimental banks of different sizes," Journal of Behavioral and Experimental Finance, Elsevier, vol. 44(C).
    42. Davis, Douglas D. & Korenok, Oleg & Lightle, John P., 2022. "Liquidity regulation, banking history and financial fragility: An experimental examination," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1372-1383.
    43. Peia, Oana & Vranceanu, Radu, 2019. "Experimental evidence on bank runs with uncertain deposit coverage," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 214-226.
    44. Toni Ricardo Eugenio dos Santos & Marcio Issao Nakane, 2021. "Dynamic bank runs: an agent-based approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 675-703, July.
    45. Chakravarty, Surajeet & Fonseca, Miguel A. & Kaplan, Todd R., 2014. "An experiment on the causes of bank run contagions," European Economic Review, Elsevier, vol. 72(C), pages 39-51.
    46. Jan Libich & Dat Thanh Nguyen & Hubert Janos Kiss, 2023. "Running Out of Bank Runs," Journal of Financial Services Research, Springer;Western Finance Association, vol. 64(1), pages 1-39, August.
    47. Dawid, Herbert & Hommes, Cars & Petersen, Luba, 2025. "Introduction to the special issue on computational and experimental economics in memory of Jasmina Arifovic," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    48. Siebert, Jan & Yang, Guanzhong, 2021. "Coordination problems triggered by sunspots in the laboratory," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).

  19. Jasmina Arifovic & James Bullard & Olena Kostyshyna, 2013. "Social Learning and Monetary Policy Rules," Economic Journal, Royal Economic Society, vol. 123(567), pages 38-76, March.
    See citations under working paper version above.
  20. Friesen, Jane & Arifovic, Jasmina & Wright, Stephen C. & Ludwig, Andreas & Giamo, Lisa & Baray, Gamze, 2012. "Ethnic identity and discrimination among children," Journal of Economic Psychology, Elsevier, vol. 33(6), pages 1156-1169.

    Cited by:

    1. Chisadza, Carolyn & Nicholls, Nicky & Yitbarek, Eleni, 2021. "Group identity in fairness decisions: Discrimination or inequality aversion?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    2. Tomomi Tanaka & Colin F. Camerer, 2016. "Trait perceptions influence economic out-group bias: lab and field evidence from Vietnam," Experimental Economics, Springer;Economic Science Association, vol. 19(3), pages 513-534, September.
    3. List, Annika J. & List, John A. & Samek, Anya, 2017. "Discrimination among pre-school children: Field experimental evidence," Economics Letters, Elsevier, vol. 157(C), pages 159-162.
    4. Chen, Josie I. & Foster, Andrew & Putterman, Louis, 2019. "Identity, trust and altruism: An experiment on preferences and microfinance lending," European Economic Review, Elsevier, vol. 120(C).
    5. Tom Lane, 2015. "Discrimination in the laboratory: a meta-analysis," Discussion Papers 2015-03, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    6. Kei Tsutsui & Daniel Zizzo, 2014. "Group status, minorities and trust," Experimental Economics, Springer;Economic Science Association, vol. 17(2), pages 215-244, June.
    7. Roggemann, Hanne & Hadnes, Myriam & Landmann, Andreas, 2015. "Social identity and solidarity in ethnically diverse societies: Experimental evidence from Vietnam," 2015 Conference, August 9-14, 2015, Milan, Italy 212692, International Association of Agricultural Economists.
    8. Meier, Stephan & Pierce, Lamar & Vaccaro, Antonino, 2014. "Trust and In-Group Favoritism in a Culture of Crime," IZA Discussion Papers 8169, IZA Network @ LISER.
    9. Meier, Stephan & Pierce, Lamar & Vaccaro, Antonino & La Cara, Barbara, 2016. "Trust and in-group favoritism in a culture of crime," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PA), pages 78-92.
    10. Cetre, Sophie & Algan, Yann & Grimalda, Gianluca & Murtin, Fabrice & Pipke, David & Putterman, Louis & Schmidt, Ulrich & Siegerink, Vincent, 2024. "Ethnic bias, economic achievement and trust between large ethnic groups: A study in Germany and the U.S," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 996-1021.
    11. Chen, Yan & Li, Sherry Xin & Liu, Tracy Xiao & Shih, Margaret, 2014. "Which hat to wear? Impact of natural identities on coordination and cooperation," Games and Economic Behavior, Elsevier, vol. 84(C), pages 58-86.
    12. Wang, Siyu & Xu, Hui, 2021. "The impact of parental migration on social identity - A framed field experiment with left-behind children in China," Journal of Economic Behavior & Organization, Elsevier, vol. 187(C), pages 246-257.

  21. Arifovic, Jasmina & Ledyard, John, 2012. "Individual evolutionary learning, other-regarding preferences, and the voluntary contributions mechanism," Journal of Public Economics, Elsevier, vol. 96(9-10), pages 808-823.

    Cited by:

    1. Rosokha, Yaroslav & Lyu, Xinxin & Tverskoi, Denis & Gavrilets, Sergey, 2025. "Cooperation under the shadow of political inequality," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    2. Liu, Jia & Riyanto, Yohanes Eko & Zhang, Ruike, 2017. "How Large Should the “Bullets” be? Dissecting the Role of Unilateral and Tie Punishment in the Provision of Public Goods," MPRA Paper 80388, University Library of Munich, Germany.
    3. Saboury, Piruz & Krasteva, Silvana & Palma, Marco A., 2022. "The effect of seed money and matching gifts in fundraising: A lab experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 425-453.
    4. John J. Nay & Yevgeniy Vorobeychik, 2016. "Predicting Human Cooperation," Papers 1601.07792, arXiv.org, revised Apr 2016.
    5. Giuseppe Danese & Luigi Mittone, 2018. "The Circulation of Worthless Tokens Aids Cooperation: An Experiment Inspired by the Kula," Games, MDPI, vol. 9(3), pages 1-20, September.
    6. Anna Conte & M. Vittoria Levati & Natalia Montinari, 2019. "Experience in public goods experiments," Theory and Decision, Springer, vol. 86(1), pages 65-93, February.
    7. Giuseppe Danese & Luigi Mittone, 2017. "The circulation of worthless objects aids cooperation. An experiment inspired by the Kula," CEEL Working Papers 1703, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    8. Anufriev, Mikhail & Arifovic, Jasmina & Donmez, Anil & Ledyard, John & Panchenko, Valentyn, 2025. "IEL-CDA model: A more accurate theory of behavior in continuous double auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    9. Baader, Malte & Gächter, Simon & Lee, Kyeongtae & Sefton, Martin, 2022. "Social Preferences and the Variability of Conditional Cooperation," IZA Discussion Papers 15523, IZA Network @ LISER.
    10. Liu, Jia & Riyanto, Yohanes E. & Zhang, Ruike, 2020. "Firing the right bullets: Exploring the effectiveness of the hired-gun mechanism in the provision of public goods," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 222-243.
    11. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," GREDEG Working Papers 2015-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    12. Jasmina Arifovic & Liang Dia & Nobuyuki Hanaki, 2023. "An individual evolutionary learning model meets Cournot," ISER Discussion Paper 1200, Institute of Social and Economic Research, The University of Osaka.
    13. Xiangwen Kong & Chengyan Yue & Yufeng Lai, 2024. "Do People Care about Others’ Benefits from Public Goods? An Investigation Based on Inequity Aversion Model," Group Decision and Negotiation, Springer, vol. 33(1), pages 55-86, February.
    14. Wolff, Irenaeus, 2022. "Predicting Voluntary Contributions by `Revealed-Preference Nash-Equilibrium'," VfS Annual Conference 2022 (Basel): Big Data in Economics 264072, Verein für Socialpolitik / German Economic Association.
    15. Simon Gaechter & Kyeongtae Lee & Martin Sefton, 2022. "The Variability of Conditional Cooperation in Sequential Prisoner's Dilemmas," Discussion Papers 2022-10, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    16. Burton-Chellew, Maxwell, 2022. "The restart effect in social dilemmas shows humans are self-interested not altruistic," SocArXiv hgznu, Center for Open Science.
    17. Blanco, Esther & Haller, Tobias & Walker, James M., 2018. "Provision of environmental public goods: Unconditional and conditional donations from outsiders," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 815-831.
    18. Jasmina Arifovic & John Duffy & Janet Jiang, 2017. "Adoption of a New Payment System: Theory and Experimental Evidence," Working Papers 171801, University of California-Irvine, Department of Economics.
    19. Jasmina Arifovic & John Ledyard, 2018. "Learning to alternate," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 692-721, September.
    20. Camera, Gabriele & Gioffré, Alessandro, 2025. "Cooperation in temporary partnerships," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    21. Belo, Rodrigo & Ferreira, Pedro, 2021. "Free Riding in Products with Positive Network Externalities: Empirical Evidence from a Large Mobile Network," SocArXiv wz4k9, Center for Open Science.
    22. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    23. Jasmina Arifovic, 2019. "Evolution of sunspot like behavior in the agent based economies of bank runs," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 365-389, March.
    24. John J Nay & Yevgeniy Vorobeychik, 2016. "Predicting Human Cooperation," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-19, May.
    25. Sargent, Thomas J., 2025. "Sources of artificial intelligence," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    26. Vinícius Ferraz & Thomas Pitz, 2024. "Analyzing the Impact of Strategic Behavior in an Evolutionary Learning Model Using a Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 437-475, February.
    27. Dutcher, E. Glenn & Salmon, Timothy C. & Saral, Krista J., 2015. "Is "Real" Effort More Real?," MPRA Paper 68394, University Library of Munich, Germany.
    28. Alejandro Lee-Penagos, 2016. "Modelling Contributions in Public Good Games with Punishment," Discussion Papers 2016-15, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    29. Arifovic, Jasmina & Boitnott, Joshua F. & Duffy, John, 2019. "Learning correlated equilibria: An evolutionary approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 171-190.
    30. Jasmina Arifovic & Alex Grimaud & Isabelle Salle & Gauthier Vermandel, 2020. "Social Learning and Monetary Policy at the Effective Lower Bound," Staff Working Papers 20-2, Bank of Canada.
    31. Billur Aksoy & Silvana Krasteva, 2020. "When does less information translate into more giving to public goods?," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1148-1177, December.
    32. Anufriev, Mikhail & Duffy, John & Panchenko, Valentyn, 2024. "Individual evolutionary learning in repeated beauty contest games," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 550-567.
    33. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    34. Nisvan Erkal & Boon Han Koh & Nguyen Lam, 2023. "Using Milestones as a Source of Feedback in Teamwork: Insights from a Dynamic Voluntary Contribution Mechanism," Discussion Papers 2310, University of Exeter, Department of Economics.
    35. Krasteva, Silvana & Saboury, Piruz, 2021. "Informative fundraising: The signaling value of seed money and matching gifts," Journal of Public Economics, Elsevier, vol. 203(C).
    36. Dawid, Herbert & Hommes, Cars & Petersen, Luba, 2025. "Introduction to the special issue on computational and experimental economics in memory of Jasmina Arifovic," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    37. Juan Camilo Cárdenas & César Mantilla & Rajiv Sethi, 2015. "Stable Sampling Equilibrium in Common Pool Resource Games," Games, MDPI, vol. 6(3), pages 1-19, August.
    38. Lugovskyy, Volodymyr & Puzzello, Daniela & Sorensen, Andrea & Walker, James & Williams, Arlington, 2017. "An experimental study of finitely and infinitely repeated linear public goods games," Games and Economic Behavior, Elsevier, vol. 102(C), pages 286-302.

  22. Arifovic, Jasmina & Maschek, Michael K., 2012. "Currency crisis: Evolution of beliefs and policy experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 131-150.

    Cited by:

    1. Cheng, Penghao & You, Yu, 2025. "U.S. monetary policy spillovers to emerging market countries: Responses to cost-push and natural rate shocks," Economic Modelling, Elsevier, vol. 143(C).
    2. Kato, Mika & Proaño, Christian R. & Semmler, Willi, 2018. "Does international-reserves targeting decrease the vulnerability to capital flights?," Research in International Business and Finance, Elsevier, vol. 44(C), pages 64-75.
    3. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Bogna Gawronska-Nowak & Wojciech Grabowski, 2016. "Using Genetic Algorithm In Dynamic Model Of Speculative Attack," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(2), pages 287-306, June.
    5. Ren, Tingting & Li, Shaofang & Zhang, Siying, 2024. "Stock market extreme risk prediction based on machine learning: Evidence from the American market," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    6. Olga Shurchkov, 2013. "Coordination and learning in dynamic global games: experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 16(3), pages 313-334, September.

  23. Arifovic, Jasmina & Ledyard, John, 2011. "A behavioral model for mechanism design: Individual evolutionary learning," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 374-395, May.

    Cited by:

    1. Rosokha, Yaroslav & Lyu, Xinxin & Tverskoi, Denis & Gavrilets, Sergey, 2025. "Cooperation under the shadow of political inequality," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    2. Liu, Jia & Riyanto, Yohanes Eko & Zhang, Ruike, 2017. "How Large Should the “Bullets” be? Dissecting the Role of Unilateral and Tie Punishment in the Provision of Public Goods," MPRA Paper 80388, University Library of Munich, Germany.
    3. Gars, Jared & Ward, Patrick S., 2016. "The role of learning in technology adoption: Evidence on hybrid rice adoption in Bihar, India," IFPRI discussion papers 1591, International Food Policy Research Institute (IFPRI).
    4. Gars, Jared & Ward, Patrick S., 2019. "Can differences in individual learning explain patterns of technology adoption? Evidence on heterogeneous learning patterns and hybrid rice adoption in Bihar, India," World Development, Elsevier, vol. 115(C), pages 178-189.
    5. Chernomaz, K. & Goertz, J.M.M., 2023. "(A)symmetric equilibria and adaptive learning dynamics in small-committee voting," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    6. 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).
    7. Anufriev, Mikhail & Arifovic, Jasmina & Donmez, Anil & Ledyard, John & Panchenko, Valentyn, 2025. "IEL-CDA model: A more accurate theory of behavior in continuous double auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    8. Vessela Daskalova & Nicolaas J. Vriend, 2021. "Learning Frames," Working Papers 202118, School of Economics, University College Dublin.
    9. Liu, Jia & Riyanto, Yohanes E. & Zhang, Ruike, 2020. "Firing the right bullets: Exploring the effectiveness of the hired-gun mechanism in the provision of public goods," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 222-243.
    10. Barbara Ikica & Simon Jantschgi & Heinrich H. Nax & Diego G. Nuñez Duran & Bary S. R. Pradelski, 2023. "Competitive Market Behavior: Convergence And Asymmetry In The Experimental Double Auction," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1087-1126, August.
    11. Omar A. Guerrero & Gonzalo Casta~neda & Florian Ch'avez-Ju'arez, 2019. "How do governments determine policy priorities? Studying development strategies through spillover networks," Papers 1902.00432, arXiv.org.
    12. 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.
    13. Giffin, Erin & Lillethun, Erik, 2025. "Long-run choice anomalies in reinforcement learning with bounded memory," Journal of Economic Behavior & Organization, Elsevier, vol. 231(C).
    14. Jasmina Arifovic & John Duffy & Janet Hua Jiang, 2017. "Adoption of a New Payment Method: Theory and Experimental Evidence," Staff Working Papers 17-28, Bank of Canada.
    15. Jasmina Arifovic & John Duffy & Janet Jiang, 2017. "Adoption of a New Payment System: Theory and Experimental Evidence," Working Papers 171801, University of California-Irvine, Department of Economics.
    16. Jasmina Arifovic & John Ledyard, 2018. "Learning to alternate," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 692-721, September.
    17. Caballero, William N. & Lunday, Brian J. & Uber, Richard P., 2021. "Identifying behaviorally robust strategies for normal form games under varying forms of uncertainty," European Journal of Operational Research, Elsevier, vol. 288(3), pages 971-982.
    18. , J. & ,, 2012. "Designing stable mechanisms for economic environments," Theoretical Economics, Econometric Society, vol. 7(3), September.
    19. Dave Cliff, 2024. "Parameterised response zero intelligence traders," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(3), pages 439-492, July.
    20. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    21. 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.
    22. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    23. Giulio Bottazzi & Pietro Dindo, 2013. "Evolution and market behavior in economics and finance: introduction to the special issue," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 507-512, July.
    24. Vinícius Ferraz & Thomas Pitz, 2024. "Analyzing the Impact of Strategic Behavior in an Evolutionary Learning Model Using a Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 437-475, February.
    25. Alejandro Lee-Penagos, 2016. "Modelling Contributions in Public Good Games with Punishment," Discussion Papers 2016-15, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    26. Arifovic, Jasmina & de Jong, Johan & Kopányi-Peuker, Anita, 2024. "Bank choice, bank runs, and coordination in the presence of two banks," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 392-410.
    27. Yaroslav Rosokha & Xinxin Lyu & Denis Tverskoi & Sergey Gavrilets, 2024. "Cooperation under the Shadow of Political Inequality," Purdue University Economics Working Papers 1350, Purdue University, Department of Economics.
    28. Arifovic, Jasmina & Ledyard, John, 2012. "Individual evolutionary learning, other-regarding preferences, and the voluntary contributions mechanism," Journal of Public Economics, Elsevier, vol. 96(9-10), pages 808-823.
    29. Dietrichson, Jens, 2013. "Coordination Incentives, Performance Measurement and Resource Allocation in Public Sector Organizations," Working Papers 2013:26, Lund University, Department of Economics.
    30. Anufriev, Mikhail & Duffy, John & Panchenko, Valentyn, 2024. "Individual evolutionary learning in repeated beauty contest games," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 550-567.
    31. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    32. Arifovic, Jasmina & Diao, Liang & Hanaki, Nobuyuki, 2025. "An individual evolutionary learning model meets Cournot," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    33. Ding, Shuze & Lu, Dong & Puzzello, Daniela, 2025. "The impact of search frictions in experimental asset markets: Over-the-counter versus double auction," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).
    34. Dawid, Herbert & Hommes, Cars & Petersen, Luba, 2025. "Introduction to the special issue on computational and experimental economics in memory of Jasmina Arifovic," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    35. Xiaochuan Huang & Takehito Masuda & Yoshitaka Okano & Tatsuyoshi Saijo, 2016. "Cooperation among behaviorally heterogeneous players in social dilemma with stay of leave decisions," KIER Working Papers 944, Kyoto University, Institute of Economic Research.

  24. Arifovic, Jasmina & Dawid, Herbert & Deissenberg, Christophe & Kostyshyna, Olena, 2010. "Learning benevolent leadership in a heterogenous agents economy," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1768-1790, September.
    See citations under working paper version above.
  25. Arifovic, Jasmina & Karaivanov, Alexander, 2010. "Learning by doing vs. learning from others in a principal-agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1967-1992, October.
    See citations under working paper version above.
  26. Markose, Sheri & Arifovic, Jasmina & Sunder, Shyam, 2007. "Advances in experimental and agent-based modelling: Asset markets, economic networks, computational mechanism design and evolutionary game dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 1801-1807, June.

    Cited by:

    1. Steven Gjerstad & Jason M. Shachat, 2007. "Individual Rationality and Market Efficiency," Purdue University Economics Working Papers 1204, Purdue University, Department of Economics.
    2. Andreas Klein, 2011. "Die Entwicklung eines agentenbasierten Basismodells zur Bestimmung der deckungsbeitragsmaximierenden Anzahl von Außendienstmitarbeitern," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 21(2), pages 189-210, January.
    3. Sheri Markose & Simone Giansante & Mateusz Gatkowski & Ali Rais Shaghaghi, 2010. "Too Interconnected To Fail: Financial Contagion and Systemic Risk In Network Model of CDS and Other Credit Enhancement Obligations of US Banks," Working Papers 033, COMISEF.
    4. Shachat, Jason & Swarthout, J. Todd, 2012. "Learning about learning in games through experimental control of strategic interdependence," Journal of Economic Dynamics and Control, Elsevier, vol. 36(3), pages 383-402.

  27. Arifovic, Jasmina & Ledyard, John, 2007. "Call market book information and efficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 1971-2000, June.

    Cited by:

    1. Chernomaz, K. & Goertz, J.M.M., 2023. "(A)symmetric equilibria and adaptive learning dynamics in small-committee voting," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    2. 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).
    3. Anufriev, Mikhail & Arifovic, Jasmina & Donmez, Anil & Ledyard, John & Panchenko, Valentyn, 2025. "IEL-CDA model: A more accurate theory of behavior in continuous double auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    4. Liu, Jia & Riyanto, Yohanes E. & Zhang, Ruike, 2020. "Firing the right bullets: Exploring the effectiveness of the hired-gun mechanism in the provision of public goods," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 222-243.
    5. Arifovic, Jasmina & Karaivanov, Alexander, 2010. "Learning by doing vs. learning from others in a principal-agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1967-1992, October.
    6. 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.
    7. Xue, Yi & Gençay, Ramazan, 2012. "Hierarchical information and the rate of information diffusion," Journal of Economic Dynamics and Control, Elsevier, vol. 36(9), pages 1372-1401.
    8. Jasmina Arifovic & John Duffy & Janet Jiang, 2017. "Adoption of a New Payment System: Theory and Experimental Evidence," Working Papers 171801, University of California-Irvine, Department of Economics.
    9. Jasmina Arifovic & John Ledyard, 2018. "Learning to alternate," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 692-721, September.
    10. Arifovic, Jasmina & Ledyard, John, 2011. "A behavioral model for mechanism design: Individual evolutionary learning," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 374-395, May.
    11. Bernales, Alejandro & Ladley, Daniel & Litos, Evangelos & Valenzuela, Marcela, 2025. "Execution risk and price improvement under dark pools," Journal of Economic Dynamics and Control, Elsevier, vol. 179(C).
    12. Jasmina Arifovic, 2019. "Evolution of sunspot like behavior in the agent based economies of bank runs," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 365-389, March.
    13. Olga A. Rud & Jean Paul Rabanal, 2018. "Evolution of markets: a simulation with centralized, decentralized and posted offer formats," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 667-689, August.
    14. 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.
    15. Noe, Thomas H. & Rebello, Michael & Wang, Jun, 2012. "Learning to bid: The design of auctions under uncertainty and adaptation," Games and Economic Behavior, Elsevier, vol. 74(2), pages 620-636.
    16. Anufriev, M. & Hommes, C.H. & Philipse, R., 2010. "Evolutionary Selection of Expectations in Positive and Negative Feedback Markets," CeNDEF Working Papers 10-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    17. Alejandro Lee-Penagos, 2016. "Modelling Contributions in Public Good Games with Punishment," Discussion Papers 2016-15, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    18. Arifovic, Jasmina & de Jong, Johan & Kopányi-Peuker, Anita, 2024. "Bank choice, bank runs, and coordination in the presence of two banks," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 392-410.
    19. Arifovic, Jasmina & Boitnott, Joshua F. & Duffy, John, 2019. "Learning correlated equilibria: An evolutionary approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 171-190.
    20. Marco LiCalzi & Lucia Milone & Paolo Pellizzari, 2008. "Allocative efficiency and traders' protection under zero intelligence behavior," Working Papers 168, Department of Applied Mathematics, Università Ca' Foscari Venezia, revised Nov 2009.
    21. Heinrich, Timo & Seifert, Matthias & Then, Franziska, 2020. "Near-losses in insurance markets: An experiment," Economics Letters, Elsevier, vol. 186(C).
    22. Kyra Hanemaaijer & Olivier Marie & Marco Musumeci, 2023. "The Fast and The Studious? Ramadan Observance and Student Performance," Tinbergen Institute Discussion Papers 23-023/V, Tinbergen Institute.
    23. Arifovic, Jasmina & Ledyard, John, 2012. "Individual evolutionary learning, other-regarding preferences, and the voluntary contributions mechanism," Journal of Public Economics, Elsevier, vol. 96(9-10), pages 808-823.
    24. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    25. Anufriev, Mikhail & Duffy, John & Panchenko, Valentyn, 2024. "Individual evolutionary learning in repeated beauty contest games," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 550-567.
    26. Chan, Shu Hui & Huang, Yu Chuan & Lin, Sheng-Min, 2020. "Market transparency and closing price behavior on month-end days: Evidence from Taiwan," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    27. Dawid, Herbert & Hommes, Cars & Petersen, Luba, 2025. "Introduction to the special issue on computational and experimental economics in memory of Jasmina Arifovic," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    28. Ding, Shuze & Lu, Dong & Puzzello, Daniela, 2025. "The impact of search frictions in experimental asset markets: Over-the-counter versus double auction," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).
    29. Bao, Te, 2022. "Comments on “the role of information in a continuous double auction: An experiment and learning model” by Mikhail Anufriev, Jasmina Arifovic, John Ledyard and Valentyn Panchenko," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).

  28. Jasmina Arifovic & Michael Maschek, 2006. "Revisiting Individual Evolutionary Learning in the Cobweb Model – An Illustration of the Virtual Spite-Effect," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 333-354, November.

    Cited by:

    1. Liu, Jia & Riyanto, Yohanes Eko & Zhang, Ruike, 2017. "How Large Should the “Bullets” be? Dissecting the Role of Unilateral and Tie Punishment in the Provision of Public Goods," MPRA Paper 80388, University Library of Munich, Germany.
    2. Chernomaz, K. & Goertz, J.M.M., 2023. "(A)symmetric equilibria and adaptive learning dynamics in small-committee voting," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    3. Michael K. Maschek, 2015. "Particle Swarm Optimization in Agent‐Based Economic Simulations of the Cournot Market Model," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(2), pages 133-152, April.
    4. Floortje Alkemade & Han Poutré & Hans Amman, 2006. "Robust Evolutionary Algorithm Design for Socio-economic Simulation," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 355-370, November.
    5. Liu, Jia & Riyanto, Yohanes E. & Zhang, Ruike, 2020. "Firing the right bullets: Exploring the effectiveness of the hired-gun mechanism in the provision of public goods," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 222-243.
    6. Arifovic, Jasmina & Karaivanov, Alexander, 2010. "Learning by doing vs. learning from others in a principal-agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1967-1992, October.
    7. Thomas Vallée & Murat Yildizoğlu, 2009. "Convergence in the finite Cournot oligopoly with social and individual learning," Post-Print hal-00722790, HAL.
    8. Ludo Waltman & Nees Eck & Rommert Dekker & Uzay Kaymak, 2011. "Economic modeling using evolutionary algorithms: the effect of a binary encoding of strategies," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 737-756, December.
    9. Junyi Xu, 2021. "Reinforcement Learning in a Cournot Oligopoly Model," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1001-1024, December.
    10. Thomas Vallée & Murat Yıldızoğlu, 2013. "Can They Beat the Cournot Equilibrium? Learning with Memory and Convergence to Equilibria in a Cournot Oligopoly," Computational Economics, Springer;Society for Computational Economics, vol. 41(4), pages 493-516, April.
    11. Kshitija Taywade & Brent Harrison & Adib Bagh, 2022. "Modelling Cournot Games as Multi-agent Multi-armed Bandits," Papers 2201.01182, arXiv.org.
    12. Ilkka Leppänen, 2018. "Evolutionarily stable conjectures and other regarding preferences in duopoly games," Journal of Evolutionary Economics, Springer, vol. 28(2), pages 347-364, April.
    13. Kshitija Taywade & Brent Harrison & Judy Goldsmith, 2022. "Using Non-Stationary Bandits for Learning in Repeated Cournot Games with Non-Stationary Demand," Papers 2201.00486, arXiv.org.
    14. Tong Zhang & B. Brorsen, 2009. "Particle Swarm Optimization Algorithm for Agent-Based Artificial Markets," Computational Economics, Springer;Society for Computational Economics, vol. 34(4), pages 399-417, November.
    15. Anufriev, Mikhail & Kopányi, Dávid, 2018. "Oligopoly game: Price makers meet price takers," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 84-103.
    16. Uehara, Takuro, 2013. "Ecological threshold and ecological economic threshold: Implications from an ecological economic model with adaptation," Ecological Economics, Elsevier, vol. 93(C), pages 374-384.
    17. Herbert Dawid & Philipp Harting, 2012. "Capturing Firm Behavior in Agent-based Models of Industry Evolution and Macroeconomic Dynamics," Chapters, in: Guido Buenstorf (ed.), Evolution, Organization and Economic Behavior, chapter 6, Edward Elgar Publishing.
    18. Alós-Ferrer, Carlos & Buckenmaier, Johannes, 2017. "Cournot vs. Walras: A reappraisal through simulations," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 257-272.

  29. Arifovic, Jasmina & McKelvey, Richard D. & Pevnitskaya, Svetlana, 2006. "An initial implementation of the Turing tournament to learning in repeated two-person games," Games and Economic Behavior, Elsevier, vol. 57(1), pages 93-122, October.

    Cited by:

    1. Chernov, G. & Susin, I., 2019. "Models of learning in games: An overview," Journal of the New Economic Association, New Economic Association, vol. 44(4), pages 77-125.
    2. Ioannou, Christos A. & Romero, Julian, 2014. "A generalized approach to belief learning in repeated games," Games and Economic Behavior, Elsevier, vol. 87(C), pages 178-203.
    3. Alan Mehlenbacher, 2007. "Multiagent System Platform for Auction Simulations," Department Discussion Papers 0706, Department of Economics, University of Victoria.
    4. Erev, Ido & Ert, Eyal & Roth, Alvin E., 2010. "A Choice Prediction Competition for Market Entry Games: An Introduction," Scholarly Articles 33444603, Harvard University Department of Economics.
    5. Doğan, Gönül, 2018. "Collusion in a buyer–seller network formation game," Journal of Economic Behavior & Organization, Elsevier, vol. 155(C), pages 445-457.
    6. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," GREDEG Working Papers 2015-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    7. Jasmina Arifovic & John Ledyard, 2004. "Scaling Up Learning Models in Public Good Games," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 6(2), pages 203-238, May.
    8. Christos A. Ioannou & Julian Romero, 2012. "Strategic Learning With Finite Automata Via The EWA-Lite Model," Purdue University Economics Working Papers 1269, Purdue University, Department of Economics.
    9. Juan Camilo C√°rdenas & CÔøΩsar Mantilla & Rajiv Sethi, 2013. "Commons without Tragedy: Sampling Dynamics and Cooperative Resource Extraction," Documentos CEDE 11892, Universidad de los Andes, Facultad de Economía, CEDE.
    10. Nobuyuki Hanaki, 2005. "Individual and Social Learning," Computational Economics, Springer;Society for Computational Economics, vol. 26(3), pages 31-50, November.
    11. Shu‐Heng Chen & Shu G. Wang, 2011. "Emergent Complexity In Agent‐Based Computational Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(3), pages 527-546, July.
    12. Nobuyuki Hanaki & Rajiv Sethi & Ido Erev & Alexander Peterhansl, 2002. "Learning Strategies," Game Theory and Information 0211004, University Library of Munich, Germany.
    13. Alan Mehlenbacher, 2009. "Multiagent System Simulations of Signal Averaging in English Auctions with Two-Dimensional Value Signals," Computational Economics, Springer;Society for Computational Economics, vol. 34(2), pages 119-143, September.
    14. Roth, Alvin E. & Herzog, Stefan & Hau, Robin & Hertwig, Ralph & Erev, Ido & Ert, Eyal & Haruvy, Ernan & Stewart, Terrence & West, Robert & Lebiere, Christian, 2009. "A Choice Prediction Competition: Choices From Experience and From Description," Scholarly Articles 5343169, Harvard University Department of Economics.
    15. Shu-Heng Chan & Shu G. Wang, 2010. "Emergent Complexity in Agent-Based Computational Economics," ASSRU Discussion Papers 1017, ASSRU - Algorithmic Social Science Research Unit.
    16. Naoki Watanabe, 2022. "Reconsidering Meaningful Learning in a Bandit Experiment on Weighted Voting: Subjects’ Search Behavior," The Review of Socionetwork Strategies, Springer, vol. 16(1), pages 81-107, April.
    17. Hanaki, Nobuyuki & Ishikawa, Ryuichiro & Akiyama, Eizo, 2009. "Learning games," Journal of Economic Dynamics and Control, Elsevier, vol. 33(10), pages 1739-1756, October.
    18. 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.
    19. Sylvain Mignot & Annick Vignes, 2020. "The Many Faces of Agent-Based Computational Economics: Ecology of Agents, Bottom-Up Approaches and Paradigm Shift [Les modèles multi-agents en économie, entre agents hétérogènes, approches bottom-up et changement de paradigme]," Post-Print hal-02956172, HAL.

  30. Jasmina Arifovic & John Ledyard, 2004. "Scaling Up Learning Models in Public Good Games," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 6(2), pages 203-238, May.

    Cited by:

    1. Aghion, Philippe & Fehr, Ernst & Holden, Richard & Wilkening, Tom, 2015. "The Role of Bounded Rationality and Imperfect Information in Subgame Perfect Implementation: An Empirical Investigation," IZA Discussion Papers 8971, IZA Network @ LISER.
    2. Sargent, Thomas J., 2025. "Sources of artificial intelligence," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    3. Graubner, Marten, 2011. "The Spatial Agent-based Competition Model (SpAbCoM)," IAMO Discussion Papers 109915, Institute of Agricultural Development in Transition Economies (IAMO).
    4. Liu, Jiaqi & Zhang, Qianwei & Tang, Rui, 2024. "Fostering cooperative evolution through probabilistic punishment and environmental feedback in public goods game," Chaos, Solitons & Fractals, Elsevier, vol. 189(P1).
    5. Jasmina Arifovic & Murat Yildizoglu, 2019. "Learning the Ramsey Outcome in a Kydland & Prescott Economy," Post-Print hal-03428629, HAL.
    6. Chernov, G. & Susin, I., 2019. "Models of learning in games: An overview," Journal of the New Economic Association, New Economic Association, vol. 44(4), pages 77-125.
    7. Vinícius Ferraz & Thomas Pitz, 2024. "Analyzing the Impact of Strategic Behavior in an Evolutionary Learning Model Using a Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 437-475, February.
    8. Erik Kimbrough, 2011. "Learning to respect property by refashioning theft into trade," Experimental Economics, Springer;Economic Science Association, vol. 14(1), pages 84-109, March.
    9. Bracht, Juergen & Figuieres, Charles & Ratto, Marisa, 2008. "Relative performance of two simple incentive mechanisms in a public goods experiment," Journal of Public Economics, Elsevier, vol. 92(1-2), pages 54-90, February.
    10. 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).
    11. 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.
    12. Anufriev, Mikhail & Arifovic, Jasmina & Donmez, Anil & Ledyard, John & Panchenko, Valentyn, 2025. "IEL-CDA model: A more accurate theory of behavior in continuous double auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    13. Thomas Brenner, 2004. "Agent Learning Representation - Advice in Modelling Economic Learning," Papers on Economics and Evolution 2004-16, Philipps University Marburg, Department of Geography.
    14. Mauersberger, Felix, 2019. "Thompson Sampling: Endogenously Random Behavior in Games and Markets," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203600, Verein für Socialpolitik / German Economic Association.
    15. Arifovic, Jasmina & Ledyard, John, 2007. "Call market book information and efficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 1971-2000, June.
    16. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
    17. Alejandro Lee-Penagos, 2016. "Modelling Contributions in Public Good Games with Punishment," Discussion Papers 2016-15, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    18. Shu-Heng Chen & Chung-Ching Tai, 2006. "Republication: On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 313-331, November.
    19. Ernst Fehr & Michael Powell & Tom Wilkening, 2014. "Handing Out Guns at a Knife Fight: Behavioral Limitations of Subgame-Perfect Implementation," CESifo Working Paper Series 4948, CESifo.
    20. Arifovic, Jasmina & Boitnott, Joshua F. & Duffy, John, 2019. "Learning correlated equilibria: An evolutionary approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 171-190.
    21. Kimbrough, Erik O., 2011. "Heuristic learning and the discovery of specialization and exchange," Journal of Economic Dynamics and Control, Elsevier, vol. 35(4), pages 491-511, April.
    22. Yi-Chun Chen & Richard Holden & Takashi Kunimoto & Yifei Sun & Tom Wilkening, 2023. "Getting Dynamic Implementation to Work," Journal of Political Economy, University of Chicago Press, vol. 131(2), pages 285-387.
    23. Arifovic, Jasmina & Karaivanov, Alexander, 2010. "Learning by doing vs. learning from others in a principal-agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1967-1992, October.
    24. Jianping Sun & Chao Fang & Zhaohui Chen & Guoquan Chen, 2021. "Regional Cooperation in Marine Plastic Waste Cleanup in the South China Sea Region," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    25. Arifovic, Jasmina & Ledyard, John, 2012. "Individual evolutionary learning, other-regarding preferences, and the voluntary contributions mechanism," Journal of Public Economics, Elsevier, vol. 96(9-10), pages 808-823.
    26. Ernst Fehr & Michael Powell & Tom Wilkening, 2021. "Behavioral Constraints on the Design of Subgame-Perfect Implementation Mechanisms," American Economic Review, American Economic Association, vol. 111(4), pages 1055-1091, April.
    27. Chernulich, Aleksei, 2021. "Modelling reference dependence for repeated choices: A horse race between models of normalisation," Journal of Economic Psychology, Elsevier, vol. 87(C).
    28. 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.
    29. Dietrichson, Jens, 2013. "Coordination Incentives, Performance Measurement and Resource Allocation in Public Sector Organizations," Working Papers 2013:26, Lund University, Department of Economics.
    30. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    31. Anufriev, Mikhail & Duffy, John & Panchenko, Valentyn, 2024. "Individual evolutionary learning in repeated beauty contest games," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 550-567.
    32. Mauersberger, Felix & Nagel, Rosemarie, 2025. "Modeling noisy learning in a dynamic oligopoly experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    33. 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.
    34. Shu-Heng Chen & Chung-Ching Tai, 2006. "On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(1), pages 51-69, August.
    35. Jasmina Arifovic & Michael Maschek, 2006. "Revisiting Individual Evolutionary Learning in the Cobweb Model – An Illustration of the Virtual Spite-Effect," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 333-354, November.
    36. Jasmina Arifovic & John Ledyard, 2018. "Learning to alternate," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 692-721, September.
    37. Ding, Shuze & Lu, Dong & Puzzello, Daniela, 2025. "The impact of search frictions in experimental asset markets: Over-the-counter versus double auction," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).
    38. Arifovic, Jasmina & Ledyard, John, 2011. "A behavioral model for mechanism design: Individual evolutionary learning," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 374-395, May.
    39. Amado, André & Huang, Weini & Campos, Paulo R.A. & Ferreira, Fernando Fagundes, 2015. "Learning process in public goods games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 21-31.
    40. Apetrei, Cristina I. & Strelkovskii, Nikita & Khabarov, Nikolay & Javalera Rincón, Valeria, 2024. "Improving the representation of smallholder farmers’ adaptive behaviour in agent-based models: Learning-by-doing and social learning," Ecological Modelling, Elsevier, vol. 489(C).
    41. Graupner, Marten, 2011. "The Spatial Agent-based Competition Model (SpAbCoM) [Das räumliche agenten-basierte Wettbewerbsmodell SpAbCoM]," IAMO Discussion Papers 135, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).

  31. Arifovic, Jasmina, 2001. "Evolutionary dynamics of currency substitution," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 395-417, March.

    Cited by:

    1. Ryuichi YAMAMOTO, 2005. "Evolution with Individual and Social Learning in an Agent-Based Stock Market," Computing in Economics and Finance 2005 228, Society for Computational Economics.
    2. Floortje Alkemade & Han Poutré & Hans Amman, 2006. "Robust Evolutionary Algorithm Design for Socio-economic Simulation," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 355-370, November.
    3. Váry, Miklós, 2015. "Piaci alkalmazkodás ragadós árak mellett - Calvo-típusú ármerevség egy ágensalapú modellben [Market adjustment under sticky prices: the price rigidity of a Calvo type in an agent-based model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 48-77.
    4. Zhang, Huanren, 2018. "Errors can increase cooperation in finite populations," Games and Economic Behavior, Elsevier, vol. 107(C), pages 203-219.
    5. Tesfatsion, Leigh S., 2001. "Introduction to the Special Issue on Agent-Based Computational Economics," Staff General Research Papers Archive 1915, Iowa State University, Department of Economics.
    6. Vilma Deltuvaitė & Svatopluk Kapounek & Petr Koráb, 2019. "Impact of Behavioural Attention on the Households Foreign Currency Savings as a Response to the External Macroeconomic Shocks," Prague Economic Papers, Prague University of Economics and Business, vol. 2019(2), pages 155-177.

  32. Arifovic, Jasmina, 2001. "Performance Of Rational And Boundedly Rational Agents In A Model With Persistent Exchange-Rate Volatility," Macroeconomic Dynamics, Cambridge University Press, vol. 5(02), pages 204-224, April.

    Cited by:

    1. Ryuichi YAMAMOTO, 2005. "Evolution with Individual and Social Learning in an Agent-Based Stock Market," Computing in Economics and Finance 2005 228, Society for Computational Economics.
    2. LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233, Elsevier.

  33. Arifovic, Jasmina & Gençay, Ramazan, 2001. "Using genetic algorithms to select architecture of a feedforward artificial neural network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 289(3), pages 574-594.

    Cited by:

    1. M. Milenković & N. Milosavljevic & N. Bojović & S. Val, 2021. "Container flow forecasting through neural networks based on metaheuristics," Operational Research, Springer, vol. 21(2), pages 965-997, June.
    2. Marco Repetto, 2025. "Multicriteria interpretability driven deep learning," Annals of Operations Research, Springer, vol. 346(2), pages 1621-1635, March.
    3. Hemmat Esfe, Mohammad & Kamyab, Mohammad Hassan & Afrand, Masoud & Amiri, Mahmoud Kiannejad, 2018. "Using artificial neural network for investigating of concurrent effects of multi-walled carbon nanotubes and alumina nanoparticles on the viscosity of 10W-40 engine oil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 610-624.
    4. Baragona Roberto & Cucina Domenico, 2013. "Multivariate Self-Exciting Threshold Autoregressive Modeling by Genetic Algorithms," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(1), pages 3-21, February.
    5. Preminger, Arie & Franck, Raphael, 2007. "Forecasting exchange rates: A robust regression approach," International Journal of Forecasting, Elsevier, vol. 23(1), pages 71-84.
    6. Marco Repetto & Cinzia Colapinto & Muhammad Usman Tariq, 2025. "Artificial intelligence driven demand forecasting: an application to the electricity market," Annals of Operations Research, Springer, vol. 346(2), pages 1637-1651, March.
    7. A. B. Dariane & M. Farhani & Sh Azimi, 2018. "Long Term Streamflow Forecasting Using a Hybrid Entropy Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(4), pages 1439-1451, March.

  34. Arifovic, Jasmina, 2000. "Evolutionary Algorithms In Macroeconomic Models," Macroeconomic Dynamics, Cambridge University Press, vol. 4(3), pages 373-414, September.

    Cited by:

    1. John Ledyard & Jasmina Arifovic, 2003. "Computer Testbeds: The Dynamics of Groves-Ledyard Mechanisms," Computing in Economics and Finance 2003 244, Society for Computational Economics.
    2. Pascal Seppecher & Isabelle Salle & Dany Lang, 2019. "Is the market really a good teacher?," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 299-335, March.
    3. Robert Somogyi & Janos Vincze, 2011. "Price Rigidity and Strategic Uncertainty An Agent-based Approach," KRTK-KTI WORKING PAPERS 1135, Institute of Economics, Centre for Economic and Regional Studies.
    4. Karolina Safarzyńska & Jeroen Bergh, 2010. "Evolutionary models in economics: a survey of methods and building blocks," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 329-373, June.
    5. John Duffy & M. Utku Unver, 2005. "Internet Auctions with Artificial Adaptive Agents: A Study on Market Design," Computational Economics 0510001, University Library of Munich, Germany, revised 07 Oct 2005.
    6. Vincze, János & Varga, Gergely, 2016. "Megtakarítási típusok - egy adaptív-evolúciós megközelítés [Types of saving - an adaptive-evolutionary approach]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 162-187.
    7. Serguei Kaniovski, 2005. "Product Differentiation and Competitive Selection," WIFO Working Papers 252, WIFO.
    8. Salle, Isabelle & Yildizoglu, Murat & Zumpe, Martin & Sénégas, Marc-Alexandre, 2017. "Coordination through social learning in a general equilibrium model," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 64-82.
    9. Salle, Isabelle L., 2015. "Modeling expectations in agent-based models — An application to central bank's communication and monetary policy," Economic Modelling, Elsevier, vol. 46(C), pages 130-141.
    10. Scott Wheeler & Nigel Bean & Janice Gaffney & Peter Taylor, 2006. "A Markov analysis of social learning and adaptation," Journal of Evolutionary Economics, Springer, vol. 16(3), pages 299-319, August.
    11. Isabelle Salle & Pascal Seppecher, 2013. "Social Learning about Consumption," Working Papers hal-00989233, HAL.
    12. James B. Bullard, 2006. "The learnability criterion and monetary policy," Review, Federal Reserve Bank of St. Louis, vol. 88(May), pages 203-217.
    13. Arifovic, Jasmina & Petersen, Luba, 2017. "Stabilizing expectations at the zero lower bound: Experimental evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 21-43.
    14. Haber Gottfried, 2008. "Monetary and Fiscal Policy Analysis With an Agent-Based Macroeconomic Model," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 276-295, April.
    15. Howitt, Peter & Özak, Ömer, 2014. "Adaptive consumption behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 37-61.
    16. Isabelle SALLE & Martin ZUMPE & Murat YILDIZOGLU & Marc-Alexandre SENEGAS, 2012. "Modelling Social Learning in an Agent-Based New Keynesian Macroeconomic Model," Cahiers du GREThA (2007-2019) 2012-20, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    17. Salle, Isabelle & Yıldızoğlu, Murat & Sénégas, Marc-Alexandre, 2013. "Inflation targeting in a learning economy: An ABM perspective," Economic Modelling, Elsevier, vol. 34(C), pages 114-128.
    18. Severin Reissl, 2021. "Heterogeneous expectations, forecasting behaviour and policy experiments in a hybrid Agent-based Stock-flow-consistent model," Journal of Evolutionary Economics, Springer, vol. 31(1), pages 251-299, January.
    19. Paul Shea, 2019. "The Macroeconomics of Pascal’s Wager," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 481-496, October.
    20. Jasmina Arifovic & James B. Bullard & Olena Kostyshyna, 2007. "Social learning and monetary policy rules," Working Papers 2007-007, Federal Reserve Bank of St. Louis.
    21. Adalbert Mayer, 2022. "An Agent-Based Macroeconomic Model with Endogenous Intertemporal Decision Rules," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(4), pages 548-579, October.
    22. Arifovic, Jasmina & Ledyard, John, 2011. "A behavioral model for mechanism design: Individual evolutionary learning," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 374-395, May.
    23. Isabelle Salle & Marc-Alexandre Sénégas & Murat Yıldızoğlu, 2019. "How transparent about its inflation target should a central bank be?," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 391-427, March.

  35. Arifovic, Jasmina & Gencay, Ramazan, 2000. "Statistical properties of genetic learning in a model of exchange rate," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 981-1005, June.

    Cited by:

    1. Ryuichi YAMAMOTO, 2005. "Evolution with Individual and Social Learning in an Agent-Based Stock Market," Computing in Economics and Finance 2005 228, Society for Computational Economics.
    2. Witte, Björn-Christopher, 2011. "Removing systematic patterns in returns in a financial market model by artificially intelligent traders," BERG Working Paper Series 82, Bamberg University, Bamberg Economic Research Group.
    3. LeBaron, Blake, 2000. "Agent-based computational finance: Suggested readings and early research," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 679-702, June.
    4. Lux, Thomas & Schornstein, Sascha, 2005. "Genetic learning as an explanation of stylized facts of foreign exchange markets," Journal of Mathematical Economics, Elsevier, vol. 41(1-2), pages 169-196, February.
    5. Goeree, Jacob K. & Hommes, Cars H., 2000. "Heterogeneous beliefs and the non-linear cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 761-798, June.
    6. Alina Barbulescu & Cristian Stefan Dumitriu, 2021. "Artificial Intelligence Models for Financial Time Series," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 685-690, August.
    7. Rui Carvalho, 2001. "The Dynamics of the Linear Random Farmer Model," Papers cond-mat/0107150, arXiv.org.
    8. Saeed Rasekhi, 2011. "Fundamental Modeling Exchange Rate using Genetic Algorithm: A Case Study of European Countries," Journal of Economics and Behavioral Studies, AMH International, vol. 3(6), pages 352-359.
    9. Al Shugaa, Ameen & Masih, Mansur, 2014. "Uncertainty and Volatility in MENA Stock Markets During the Arab Spring," MPRA Paper 58867, University Library of Munich, Germany.
    10. LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233, Elsevier.
    11. Hommes, Cars & Lux, Thomas, 2008. "Individual expectations and aggregate behavior in learning to forecast experiments," Kiel Working Papers 1466, Kiel Institute for the World Economy.
    12. Andrea Morone, 2005. "Financial Market in the Laboratory, an Experimental Analysis of some Stylized Facts," Papers on Strategic Interaction 2005-27, Max Planck Institute of Economics, Strategic Interaction Group.
    13. Alfarano, Simone & Lux, Thomas, 2005. "A noise trader model as a generator of apparent financial power laws and long memory," Economics Working Papers 2005-13, Christian-Albrechts-University of Kiel, Department of Economics.
    14. Siddiqi, Hammad, 2007. "Rational Interacting Agents and Volatility Clustering: A New Approach," MPRA Paper 2984, University Library of Munich, Germany.
    15. Morone, Andrea & Nuzzo, Simone, 2016. "Asset markets in the lab: A literature review," Kiel Working Papers 2060, Kiel Institute for the World Economy.
    16. Georges, Christophre, 2006. "Learning with misspecification in an artificial currency market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(1), pages 70-84, May.
    17. Alfarano, Simone & Lux, Thomas, 2003. "A minimal noise trader model with realistic time series properties," Economics Working Papers 2003-15, Christian-Albrechts-University of Kiel, Department of Economics.
    18. Lux, Thomas, 2008. "Stochastic behavioral asset pricing models and the stylized facts," Kiel Working Papers 1426, Kiel Institute for the World Economy.
    19. Thorsten Hens & Terje Lensberg & Klaus Reiner Schenk‐Hoppé, 2018. "Front‐Running and Market Quality: An Evolutionary Perspective on High Frequency Trading," International Review of Finance, International Review of Finance Ltd., vol. 18(4), pages 727-741, December.
    20. Smith, Peter, 2004. "Reworking the Standard Model of Competitive Markets: The Role of Fuzzy Logic and Genetic Algorithms in Modelling Complex Non-Linear Economic System," General Discussion Papers 30569, University of Manchester, Institute for Development Policy and Management (IDPM).
    21. Andrea Morone, 2004. "Financial Market in the Laboratory," Experimental 0401002, University Library of Munich, Germany.
    22. Gagnon, Gregory, 2004. "Exchange rate fluctuations in an economy with noise traders," Journal of Macroeconomics, Elsevier, vol. 26(1), pages 45-63, March.
    23. Lux, Thomas, 2008. "Stochastic behavioral asset pricing models and the stylized facts," Economics Working Papers 2008-08, Christian-Albrechts-University of Kiel, Department of Economics.
    24. Gaunersdorfer, A. & Hommes, C.H., 2005. "A nonlinear structural model for volatility clustering," CeNDEF Working Papers 05-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

  36. Arifovic, Jasmina & Eaton, B. Curtis, 1998. "The evolution of type communication in a sender/receiver game of common interest with cheap talk," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1187-1207, August.

    Cited by:

    1. Christoph Zott, 2002. "When Adaptation Fails," Journal of Conflict Resolution, Peace Science Society (International), vol. 46(6), pages 727-753, December.
    2. Marco Casari, 2002. "Can genetic algorithms explain experimental anomalies? An application to common property resources," UFAE and IAE Working Papers 542.02, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).

  37. Arifovic, Jasmina, 1998. "Stability Of Equilibria Under Genetic-Algorithm Adaptation: An Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 2(1), pages 1-21, March.

    Cited by:

    1. Seppo Honkapohja & Kaushik Mitra, 2006. "Learning Stability in Economies with Heterogeneous Agents," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(2), pages 284-309, April.
    2. Arifovic, Jasmina, 2001. "Evolutionary dynamics of currency substitution," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 395-417, March.
    3. Chryssi Giannitsarou, 2003. "Heterogeneous Learning," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(4), pages 885-906, October.
    4. Arifovic, Jasmina & Gencay, Ramazan, 2000. "Statistical properties of genetic learning in a model of exchange rate," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 981-1005, June.
    5. Orlando Gomes, 2004. "Optimal Monetary Policy under Heterogeneous Expectations," Macroeconomics 0409023, University Library of Munich, Germany.

  38. Arifovic, Jasmina & Bullard, James & Duffy, John, 1997. "The Transition from Stagnation to Growth: An Adaptive Learning Approach," Journal of Economic Growth, Springer, vol. 2(2), pages 185-209, July.

    Cited by:

    1. V. Heinrich Amavilah, 2003. "The Ebbinghaus Effect and the Implications of Net Learning for the Performance of Production Systems, with Some Experimental Results," Experimental 0307002, University Library of Munich, Germany.
    2. Christoph Zott, 2002. "When Adaptation Fails," Journal of Conflict Resolution, Peace Science Society (International), vol. 46(6), pages 727-753, December.
    3. Voxi Heinrich Amavilah, 2003. "Resource Inefficiency and Poor Aggregate Economic Performance in African Countries: The Case of Namibia, 1968-1992," Development and Comp Systems 0307005, University Library of Munich, Germany.
    4. Grazzini Jakob, 2011. "Estimating Micromotives from Macrobehavior," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201111, University of Turin.
    5. James Bullard & John Duffy, 2010. "Using genetic algorithms to model the evolution of heterogenous beliefs," Levine's Working Paper Archive 550, David K. Levine.
    6. Tommaso Ciarli & Andre' Lorentz & Maria Savona & Marco Valente, 2012. "The role of technology, organisation, and demand in growth and income distribution," LEM Papers Series 2012/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Stephen X. Zhang & Elco Burg, 2020. "Advancing entrepreneurship as a design science: developing additional design principles for effectuation," Small Business Economics, Springer, vol. 55(3), pages 607-626, October.
    8. Evans, George & McGough, Bruce, 2025. "Social learning and expectational stability," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    9. Xiao Wei & Xu Junyi, 2019. "Bounded rationality and the ineffectiveness of big push policies," The B.E. Journal of Macroeconomics, De Gruyter, vol. 19(2), pages 1-21, June.
    10. Arifovic, Jasmina, 2001. "Evolutionary dynamics of currency substitution," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 395-417, March.
    11. Douglas Silveira & Ricardo B. L. M. Oscar, 2024. "Inflation Targeting Regimes in Emerging Market Economies: To Invest or Not to Invest?," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2097-2129, October.
    12. Gomes, Orlando, 2009. "Stability under learning: The endogenous growth problem," Economic Modelling, Elsevier, vol. 26(5), pages 807-816, September.
    13. Albert Marcet & Juan Pablo Nicolini, 2005. "Money and Prices in Models of Bounded Rationality in High Inflation Economies," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 452-479, April.
    14. Chen, Shu-Heng & Yeh, Chia-Hsuan, 2001. "Evolving traders and the business school with genetic programming: A new architecture of the agent-based artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 363-393, March.
    15. Rohan Dutta & David K Levine & Nicholas W Papageorge & Lemin Wu, 2016. "Entertaining Malthus: Bread, Circuses and Economic Growth," Levine's Working Paper Archive 786969000000001365, David K. Levine.
    16. Arifovic, Jasmina & Gencay, Ramazan, 2000. "Statistical properties of genetic learning in a model of exchange rate," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 981-1005, June.
    17. Chia-Hsuan Yeh & Shu-Heng Chen, 2000. "Toward An Integration Of Social Learning And Individual Learning In Agent-Based Computational Stock Markets:The Approach Based On Population Genetic Programming," Computing in Economics and Finance 2000 338, Society for Computational Economics.
    18. Mario Villalpando, 2014. "Bank Credit and Productivity: Evidence from Mexican Firms," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 9(2), pages 195-211, Julio-Dic.
    19. James B. Bullard & John Duffy, 1998. "Learning and excess volatility," Working Papers 1998-016, Federal Reserve Bank of St. Louis.
    20. Dow, Gregory K. & Reed, Clyde G., 2011. "Stagnation and innovation before agriculture," Journal of Economic Behavior & Organization, Elsevier, vol. 77(3), pages 339-350, March.
    21. Jakob Grazzini, 2011. "Consistent Estimation of Agent Based Models," LABORatorio R. Revelli Working Papers Series 110, LABORatorio R. Revelli, Centre for Employment Studies.
    22. Sergey Slobodyan, 1999. "Sunspot Fluctuations: A Way Out of a Development Trap?," Computing in Economics and Finance 1999 922, Society for Computational Economics.
    23. Shu-Heng Chen & Chia-Hsuan Yeh, 1999. "Evolving Traders and the Faculty of the Business School: A New Architecture of the Artificial Stock Market," Computing in Economics and Finance 1999 613, Society for Computational Economics.
    24. Patrick M. Emerson & Bruce McGough, 2018. "Learning About Education," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 263-277, January.
    25. Gary D. Hansen & Edward C. Prescott, 2002. "Malthus to Solow," American Economic Review, American Economic Association, vol. 92(4), pages 1205-1217, September.
    26. Paul Shea, 2019. "The Macroeconomics of Pascal’s Wager," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 481-496, October.
    27. Roger Koppl & Abigail Devereaux & Jim Herriot & Stuart Kauffman, 2018. "A Simple Combinatorial Model of World Economic History," Papers 1811.04502, arXiv.org.
    28. Hung Truong, 2024. "Binary or nonbinary? An evolutionary learning approach to gender identity," Papers 2412.10959, arXiv.org.
    29. Albert Marcet & Juan P. Nicolini, 2003. "Recurrent Hyperinflations and Learning," American Economic Review, American Economic Association, vol. 93(5), pages 1476-1498, December.
    30. C. Mónica Capra & Tomomi Tanaka & Colin F. Camerer & Lauren Feiler & Veronica Sovero & Charles N. Noussair, 2009. "The Impact of Simple Institutions in Experimental Economies with Poverty Traps," Economic Journal, Royal Economic Society, vol. 119(539), pages 977-1009, July.

  39. Arifovic, Jasmina, 1996. "The Behavior of the Exchange Rate in the Genetic Algorithm and Experimental Economies," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 510-541, June.

    Cited by:

    1. Jens Grossklags & Carsten Schmidt, 2002. "Artificial Software Agents on Thin Double Auction Markets - A Human Trader Experiment," Papers on Strategic Interaction 2002-45, Max Planck Institute of Economics, Strategic Interaction Group.
    2. Lux, Thomas & Alfarano, Simone, 2016. "Financial power laws: Empirical evidence, models, and mechanisms," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 3-18.
    3. Ryuichi YAMAMOTO, 2005. "Evolution with Individual and Social Learning in an Agent-Based Stock Market," Computing in Economics and Finance 2005 228, Society for Computational Economics.
    4. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    5. Sylvie Geisendorf, 2018. "Evolutionary Climate-Change Modelling: A Multi-Agent Climate-Economic Model," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 921-951, October.
    6. Dawid, Herbert, 2000. "On the emergence of exchange and mediation in a production economy," Journal of Economic Behavior & Organization, Elsevier, vol. 41(1), pages 27-53, January.
    7. Bullard, James & Duffy, John, 1998. "A model of learning and emulation with artificial adaptive agents," Journal of Economic Dynamics and Control, Elsevier, vol. 22(2), pages 179-207, February.
    8. 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.
    9. Ding, Shuze & Puzzello, Daniela, 2020. "Legal restrictions and international currencies: An experimental approach," Journal of International Economics, Elsevier, vol. 126(C).
    10. Stolzenburg, Ulrich & Lux, Thomas, 2010. "Identification of a core-periphery structure among participants of a business climate survey," Kiel Working Papers 1659, Kiel Institute for the World Economy.
    11. J. Wiesinger & D. Sornette & J. Satinover, 2013. "Reverse Engineering Financial Markets with Majority and Minority Games Using Genetic Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 41(4), pages 475-492, April.
    12. Tong Zhang & B. Brorsen, 2011. "Oligopoly firms with quantity-price strategic decisions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 6(2), pages 157-170, November.
    13. Chiarella, Carl & He, Xue-Zhong & Wei, Lijian, 2015. "Learning, information processing and order submission in limit order markets," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 245-268.
    14. Michael K. Maschek, 2015. "Particle Swarm Optimization in Agent‐Based Economic Simulations of the Cournot Market Model," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(2), pages 133-152, April.
    15. John Duffy, 2008. "Macroeconomics: A Survey of Laboratory Research," Working Paper 334, Department of Economics, University of Pittsburgh, revised Jun 2014.
    16. Dong-Jin Pyo, 2017. "A multi-factor model of heterogeneous traders in a dynamic stock market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1416902-141, January.
    17. Arifovic, Jasmina & He, Xue-zhong & Wei, Lijian, 2022. "Machine learning and speed in high-frequency trading," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    18. James Bullard & John Duffy, 2010. "Using genetic algorithms to model the evolution of heterogenous beliefs," Levine's Working Paper Archive 550, David K. Levine.
    19. Agnieszka Markiewicz, 2010. "Monetary Policy, Model Uncertainty and Exchange Rate Volatility," CESifo Working Paper Series 2949, CESifo.
    20. LeBaron, Blake, 2000. "Agent-based computational finance: Suggested readings and early research," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 679-702, June.
    21. Sylvie Geisendorf, 2011. "Internal selection and market selection in economic Genetic Algorithms," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 817-841, December.
    22. Janet Jiang & Daniela Puzzello & Cathy Zhang, 2021. "How Long is Forever in the Laboratory? Three Implementations of an Infinite-Horizon Monetary Economy," Staff Working Papers 21-16, Bank of Canada.
    23. Arifovic, Jasmina, 2001. "Evolutionary dynamics of currency substitution," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 395-417, March.
    24. Lux, Thomas & Schornstein, Sascha, 2005. "Genetic learning as an explanation of stylized facts of foreign exchange markets," Journal of Mathematical Economics, Elsevier, vol. 41(1-2), pages 169-196, February.
    25. Paul Castillo & Diego Winkelried, 2007. "Dollarization Persistence and Individual Heterogeneity," Working Papers 2007-004, Banco Central de Reserva del Perú.
    26. Goeree, Jacob K. & Hommes, Cars H., 2000. "Heterogeneous beliefs and the non-linear cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 761-798, June.
    27. Arifovic, Jasmina & Bullard, James & Duffy, John, 1997. "The Transition from Stagnation to Growth: An Adaptive Learning Approach," Journal of Economic Growth, Springer, vol. 2(2), pages 185-209, July.
    28. Chen, Shu-Heng & Yeh, Chia-Hsuan, 2001. "Evolving traders and the business school with genetic programming: A new architecture of the agent-based artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 363-393, March.
    29. Lensberg, Terje & Schenk-Hoppé, Klaus Reiner, 2021. "Cold play: Learning across bimatrix games," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 419-441.
    30. Arifovic, Jasmina & Karaivanov, Alexander, 2010. "Learning by doing vs. learning from others in a principal-agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1967-1992, October.
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    1. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August.
    2. Bullard, James & Duffy, John, 1998. "A model of learning and emulation with artificial adaptive agents," Journal of Economic Dynamics and Control, Elsevier, vol. 22(2), pages 179-207, February.
    3. Baranowski, Ryan, 2015. "Adaptive learning and monetary exchange," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 1-18.
    4. Brock, William A. & de Fontnouvelle, Patrick, 2000. "Expectational diversity in monetary economies," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 725-759, June.
    5. Salle, Isabelle & Yildizoglu, Murat & Zumpe, Martin & Sénégas, Marc-Alexandre, 2017. "Coordination through social learning in a general equilibrium model," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 64-82.
    6. James Bullard & John Duffy, 2010. "Using genetic algorithms to model the evolution of heterogenous beliefs," Levine's Working Paper Archive 550, David K. Levine.
    7. Atanas Christev, 2006. "Learning Hyperinflations," Computing in Economics and Finance 2006 475, Society for Computational Economics.
    8. Stephen X. Zhang & Elco Burg, 2020. "Advancing entrepreneurship as a design science: developing additional design principles for effectuation," Small Business Economics, Springer, vol. 55(3), pages 607-626, October.
    9. Arifovic, Jasmina, 2001. "Evolutionary dynamics of currency substitution," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 395-417, March.
    10. Shu-Heng Chen & Chung-Ching Tai, 2006. "Republication: On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 313-331, November.
    11. Chen, Shu-Heng & Yeh, Chia-Hsuan, 2001. "Evolving traders and the business school with genetic programming: A new architecture of the agent-based artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 363-393, March.
    12. Lensberg, Terje & Schenk-Hoppé, Klaus Reiner, 2021. "Cold play: Learning across bimatrix games," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 419-441.
    13. Dawid, Herbert, 1999. "On the convergence of genetic learning in a double auction market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1545-1567, September.
    14. Lettau, Martin, 1997. "Explaining the facts with adaptive agents: The case of mutual fund flows," Journal of Economic Dynamics and Control, Elsevier, vol. 21(7), pages 1117-1147, June.
    15. Jie-Shin Lin, 2005. "Learning in a Network Economy," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 59-74, February.
    16. Cars Hommes & Tomasz Makarewicz & Domenico Massaro & Tom Smits, 2017. "Genetic algorithm learning in a New Keynesian macroeconomic setup," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1133-1155, November.
    17. Arifovic, Jasmina & Gencay, Ramazan, 2000. "Statistical properties of genetic learning in a model of exchange rate," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 981-1005, June.
    18. Klemz, Bruce R., 1999. "Using genetic algorithms to assess the impact of pricing activity timing," Omega, Elsevier, vol. 27(3), pages 363-372, June.
    19. James B. Bullard & John Duffy, 1995. "On learning and the stability of cycles," Working Papers 1995-006, Federal Reserve Bank of St. Louis.
    20. Roberto Leombruni & Matteo Richiardi & Nicole J. Saam & Michele Sonnessa, 2005. "A Common Protocol for Agent-Based Social Simulation," LABORatorio R. Revelli Working Papers Series 47, LABORatorio R. Revelli, Centre for Employment Studies.
    21. Leombruni, Roberto & Richiardi, Matteo, 2005. "Why are economists sceptical about agent-based simulations?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 103-109.
    22. Chia-Hsuan Yeh & Shu-Heng Chen, 2000. "Toward An Integration Of Social Learning And Individual Learning In Agent-Based Computational Stock Markets:The Approach Based On Population Genetic Programming," Computing in Economics and Finance 2000 338, Society for Computational Economics.
    23. Kaushik Mitra & James Bullard, "undated". "Learning About Monetary Policy Rules," Discussion Papers 00/41, Department of Economics, University of York.
    24. Edmund Chattoe-Brown, 1998. "Just How (Un)realistic Are Evolutionary Algorithms As Representations of Social Processes?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(3), pages 1-2.
    25. Jakob Grazzini, 2011. "Consistent Estimation of Agent Based Models," LABORatorio R. Revelli Working Papers Series 110, LABORatorio R. Revelli, Centre for Employment Studies.
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    27. Shu-Heng Chen & Chia-Hsuan Yeh, 1999. "Evolving Traders and the Faculty of the Business School: A New Architecture of the Artificial Stock Market," Computing in Economics and Finance 1999 613, Society for Computational Economics.
    28. Makarewicz, Tomasz, 2021. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 626-673.
    29. J. Daniel Aromí & Martín Llada, 2020. "Forecasting inflation with twitter," Asociación Argentina de Economía Política: Working Papers 4308, Asociación Argentina de Economía Política.
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    32. Junttila, Juha, 2001. "Structural breaks, ARIMA model and Finnish inflation forecasts," International Journal of Forecasting, Elsevier, vol. 17(2), pages 203-230.
    33. Isabelle Salle & Pascal Seppecher, 2013. "Social Learning about Consumption," Working Papers hal-00989233, HAL.
    34. James B. Bullard & Alvin L. Marty, 1998. "What has become of the \\"stability-through-inflation\\" argument?," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 37-45.
    35. Salle, Isabelle & Yıldızoğlu, Murat & Sénégas, Marc-Alexandre, 2013. "Inflation targeting in a learning economy: An ABM perspective," Economic Modelling, Elsevier, vol. 34(C), pages 114-128.
    36. Paul Gomme, 1998. "Evolutionary programming as a solution technique for the Bellman equation," Working Papers (Old Series) 9816, Federal Reserve Bank of Cleveland.
    37. Klaus Adam & George W. Evans & Seppo Honkapoja, 2003. "Are Stationary Hyperinflation Paths Learnable?," CESifo Working Paper Series 936, CESifo.
    38. Marco A. Espinosa-Vega & Steven Russell, 1997. "History and theory of the NAIRU: a critical review," Economic Review, Federal Reserve Bank of Atlanta, vol. 82(Q 2), pages 4-25.
    39. Cacho, Oscar J. & Simmons, Phil, 1999. "A genetic algorithm approach to farm investment," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 43(3), pages 1-18, September.
    40. Adalbert Mayer, 2022. "An Agent-Based Macroeconomic Model with Endogenous Intertemporal Decision Rules," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(4), pages 548-579, October.
    41. Riechmann, Thomas, 2001. "Genetic algorithm learning and evolutionary games," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 1019-1037, June.
    42. Jie-Shin Lin, 2005. "An Analysis on Simulation Models of Competing Parties," Computing in Economics and Finance 2005 284, Society for Computational Economics.
    43. Shu-Heng Chen & Chung-Ching Tai, 2006. "On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(1), pages 51-69, August.
    44. 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.
    45. Arifovic, Jasmina & Evans, George W. & Kostyshyna, Olena, 2020. "Are sunspots learnable? An experimental investigation in a simple macroeconomic model," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    46. Jie-Shin Lin & Chris Birchenhall, 2000. "Learning And Adaptive Artificial Agents: An Analysis Of Evolutionary Economic Models," Computing in Economics and Finance 2000 327, Society for Computational Economics.
    47. Rotheli, Tobias F., 2001. "Acquisition of costly information: an experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 46(2), pages 193-208, October.
    48. Adam, Klaus & Evans, George W. & Honkapohja, Seppo, 2006. "Are hyperinflation paths learnable?," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2725-2748, December.

  42. Arifovic, Jasmina, 1994. "Genetic algorithm learning and the cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 3-28, January.

    Cited by:

    1. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August.
    2. Edmund Chattoe-Brown, 2009. "The social transmission of choice: a simulation with applications to hegemonic discourse," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 8(2), pages 193-207, December.
    3. John Ledyard & Jasmina Arifovic, 2003. "Computer Testbeds: The Dynamics of Groves-Ledyard Mechanisms," Computing in Economics and Finance 2003 244, Society for Computational Economics.
    4. Granato, J. & Guse, E. & Sunny Wong, M.C., 2006. "Learning from the Expectations of Others," Cambridge Working Papers in Economics 0605, Faculty of Economics, University of Cambridge.
    5. Christoph Zott, 2002. "When Adaptation Fails," Journal of Conflict Resolution, Peace Science Society (International), vol. 46(6), pages 727-753, December.
    6. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    7. Sylvie Geisendorf, 2018. "Evolutionary Climate-Change Modelling: A Multi-Agent Climate-Economic Model," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 921-951, October.
    8. Ozyildirim, Suheyla & Alemdar, Nedim M., 2000. "Learning the optimum as a Nash equilibrium," Journal of Economic Dynamics and Control, Elsevier, vol. 24(4), pages 483-499, April.
    9. Paul McNelis & John Duffy, 1998. "Approximating and Simulating the Stochastic Growth Model: Parameterized Expectations, Neural Networks, and the Genetic Algorithm," GE, Growth, Math methods 9804004, University Library of Munich, Germany, revised 14 May 1998.
    10. Bullard, James & Duffy, John, 1998. "A model of learning and emulation with artificial adaptive agents," Journal of Economic Dynamics and Control, Elsevier, vol. 22(2), pages 179-207, February.
    11. Alejandro Lee-Penagos, 2016. "Learning to Coordinate: Co-Evolution and Correlated Equilibrium," Discussion Papers 2016-11, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    12. Kristian Lindgren & Emma Jonson & Liv Lundberg, 2015. "Projection Of A Heterogenous Agent-Based Production Economy Model To A Closed Dynamics Of Aggregate Variables," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(05n06), pages 1-19, August.
    13. Hommes, C.H., 2010. "The Heterogeneous Expectations Hypothesis: Some Evidence from the Lab," CeNDEF Working Papers 10-06, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    14. Karolina Safarzynska & Jeroen C.J.M. van den Bergh, 2011. "Beyond Replicator Dynamics: Innovation-Selection Dynamics and Optimal Diversity," Post-Print hal-00989520, HAL.
    15. Tesfatsion, Leigh, 1998. "Teaching Agent-Based Computational Economics To Graduate Students," Economic Reports 18193, Iowa State University, Department of Economics.
    16. Noe, Thomas H. & Pi, Lynn, 2000. "Learning dynamics, genetic algorithms, and corporate takeovers," Journal of Economic Dynamics and Control, Elsevier, vol. 24(2), pages 189-217, February.
    17. Thomas Riechman, 2000. "A Model Of Boundedly Rational Consumer Choice," Computing in Economics and Finance 2000 321, Society for Computational Economics.
    18. Graubner, Marten & Sexton, Richard J., 2021. "Spatial competition in agricultural procurement markets," 2021 Annual Meeting, August 1-3, Austin, Texas 313962, Agricultural and Applied Economics Association.
    19. Graubner, Marten, 2011. "The Spatial Agent-based Competition Model (SpAbCoM)," IAMO Discussion Papers 109915, Institute of Agricultural Development in Transition Economies (IAMO).
    20. Tesfatsion, Leigh, 1995. "How Economists Can Get Alife," Economic Reports 18196, Iowa State University, Department of Economics.
    21. Windrum, Paul, 1999. "Simulation models of technological innovation: A Review," Research Memorandum 005, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    22. Reiner Franke & Tim Nesemann, 1999. "Two destabilizing strategies may be jointly stabilizing," Journal of Economics, Springer, vol. 69(1), pages 1-18, February.
    23. Tong Zhang & B. Brorsen, 2011. "Oligopoly firms with quantity-price strategic decisions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 6(2), pages 157-170, November.
    24. Waltman, Ludo & Kaymak, Uzay, 2008. "Q-learning agents in a Cournot oligopoly model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3275-3293, October.
    25. Michael K. Maschek, 2015. "Particle Swarm Optimization in Agent‐Based Economic Simulations of the Cournot Market Model," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(2), pages 133-152, April.
    26. Shyam Gouri Suresh, 2015. "Rational versus Adaptive Expectations in an Agent-Based Model of a Barter Economy," Working Papers 15-02, Davidson College, Department of Economics.
    27. James Bullard & John Duffy, 2010. "Using genetic algorithms to model the evolution of heterogenous beliefs," Levine's Working Paper Archive 550, David K. Levine.
    28. Michael Maschek, 2010. "Intelligent Mutation Rate Control in an Economic Application of Genetic Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 35(1), pages 25-49, January.
    29. Floortje Alkemade & Han Poutré & Hans Amman, 2006. "Robust Evolutionary Algorithm Design for Socio-economic Simulation," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 355-370, November.
    30. 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).
    31. Arifovic, Jasmina & He, Xue-zhong & Wei, Lijian, 2022. "Machine learning and speed in high-frequency trading," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    32. Balmann, Alfons & Musshoff, Oliver, 2002. "Real Options and Competition: The Impact of Depreciation and Reinvestment," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24934, European Association of Agricultural Economists.
    33. Graubner, Marten & Balmann, Alfons & Sexton, Richard J., 2011. "Spatial Pricing and the Location of Processors in Agricultural Markets," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114601, European Association of Agricultural Economists.
    34. Sylvie Geisendorf, 2011. "Internal selection and market selection in economic Genetic Algorithms," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 817-841, December.
    35. Murat YILDIZOGLU & Marc-Alexandre SENEGAS & Isabelle SALLE & Martin ZUMPE, 2011. "Learning the optimal buffer-stock consumption rule of Carroll," Cahiers du GREThA (2007-2019) 2011-11, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    36. Sylvie Geisendorf, 2016. "The impact of personal beliefs on climate change: the “battle of perspectives” revisited," Journal of Evolutionary Economics, Springer, vol. 26(3), pages 551-580, July.
    37. Hong, Lu & Page, Scott E., 2001. "Problem Solving by Heterogeneous Agents," Journal of Economic Theory, Elsevier, vol. 97(1), pages 123-163, March.
    38. Arifovic, Jasmina, 2001. "Evolutionary dynamics of currency substitution," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 395-417, March.
    39. Heemeijer, P. & Hommes, C.H. & Sonnemans, J. & Tuinstra, J., 2006. "Price Stability and Volatility in Markets with Positive and Negative Expectations Feedback: An Experimental Investigation," CeNDEF Working Papers 06-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    40. Feil, Jan-Henning & Musshoff, Oliver, 2012. "Policy Impact Analysis on Investments and Disinvestments under Competition: A Real Options Approach," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124294, Australian Agricultural and Resource Economics Society.
    41. Haber Gottfried, 2008. "Monetary and Fiscal Policy Analysis With an Agent-Based Macroeconomic Model," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 276-295, April.
    42. Goeree, Jacob K. & Hommes, Cars H., 2000. "Heterogeneous beliefs and the non-linear cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 761-798, June.
    43. Branch, William A., 2002. "Local convergence properties of a cobweb model with rationally heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 27(1), pages 63-85, November.
    44. Shu-Heng Chen & Chung-Ching Tai, 2006. "Republication: On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 313-331, November.
    45. Gomes, Orlando, 2009. "Stability under learning: The endogenous growth problem," Economic Modelling, Elsevier, vol. 26(5), pages 807-816, September.
    46. Thiele, Jan C, 2014. "R Marries NetLogo: Introduction to the RNetLogo Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i02).
    47. Liu, Jia & Riyanto, Yohanes E. & Zhang, Ruike, 2020. "Firing the right bullets: Exploring the effectiveness of the hired-gun mechanism in the provision of public goods," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 222-243.
    48. Chen, Shu-Heng & Yeh, Chia-Hsuan, 2001. "Evolving traders and the business school with genetic programming: A new architecture of the agent-based artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 363-393, March.
    49. Lensberg, Terje & Schenk-Hoppé, Klaus Reiner, 2021. "Cold play: Learning across bimatrix games," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 419-441.
    50. Soliman, Amal & Jones, Philip & Cullis, John, 2014. "Learning in experiments: Dynamic interaction of policy variables designed to deter tax evasion," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 175-186.
    51. Arifovic, Jasmina & Karaivanov, Alexander, 2010. "Learning by doing vs. learning from others in a principal-agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1967-1992, October.
    52. Dawid, Herbert, 1999. "On the convergence of genetic learning in a double auction market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1545-1567, September.
    53. Choudhary, M. Ali & Michael Orszag, J., 2008. "A cobweb model with local externalities," Journal of Economic Dynamics and Control, Elsevier, vol. 32(3), pages 821-847, March.
    54. Riechmann, Thomas, 2001. "Two Notes on Replication in Evolutionary Modelling," Hannover Economic Papers (HEP) dp-239, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    55. Nedim M. Alemdar & Süheyla Özyildirim, "undated". "A Genetic Game of Trade, Growth, and Externalities," Computing in Economics and Finance 1997 148, Society for Computational Economics.
    56. Lettau, Martin, 1997. "Explaining the facts with adaptive agents: The case of mutual fund flows," Journal of Economic Dynamics and Control, Elsevier, vol. 21(7), pages 1117-1147, June.
    57. Jasmina Arifovic & Liang Dia & Nobuyuki Hanaki, 2023. "An individual evolutionary learning model meets Cournot," ISER Discussion Paper 1200, Institute of Social and Economic Research, The University of Osaka.
    58. Shiyu Liu & Ou Liu & Junyang Chen, 2023. "A Review on Business Analytics: Definitions, Techniques, Applications and Challenges," Mathematics, MDPI, vol. 11(4), pages 1-20, February.
    59. 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.
    60. Jie-Shin Lin, 2005. "Learning in a Network Economy," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 59-74, February.
    61. Meissner, Thomas & Rostam-Afschar, Davud, 2017. "Learning Ricardian Equivalence," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 273-288.
    62. Thomas Vallée & Murat Yildizoğlu, 2009. "Convergence in the finite Cournot oligopoly with social and individual learning," Post-Print hal-00722790, HAL.
    63. Cars Hommes & Tomasz Makarewicz & Domenico Massaro & Tom Smits, 2017. "Genetic algorithm learning in a New Keynesian macroeconomic setup," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1133-1155, November.
    64. LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233, Elsevier.
    65. 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.
    66. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    67. James B. Bullard & John Duffy, 1995. "On learning and the stability of cycles," Working Papers 1995-006, Federal Reserve Bank of St. Louis.
    68. Ludo Waltman & Nees Eck & Rommert Dekker & Uzay Kaymak, 2011. "Economic modeling using evolutionary algorithms: the effect of a binary encoding of strategies," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 737-756, December.
    69. Mikhail Anufriev & Cars Hommes & Tomasz Makarewicz, 2015. "Simple Forecasting Heuristics that Make us Smart: Evidence from Different Market Experiments," Working Paper Series 29, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    70. Hommes, Cars & Lux, Thomas, 2008. "Individual expectations and aggregate behavior in learning to forecast experiments," Kiel Working Papers 1466, Kiel Institute for the World Economy.
    71. Hommes, C.H., 2007. "Bounded Rationality and Learning in Complex Markets," CeNDEF Working Papers 07-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    72. Georges, Christophre & Wallace, John C., 2009. "Learning Dynamics And Nonlinear Misspecification In An Artificial Financial Market," Macroeconomic Dynamics, Cambridge University Press, vol. 13(5), pages 625-655, November.
    73. Richard Kasa & Gábor Réthi & György Hauber & Krisztina Szegedi, 2023. "Simulation of Corruption Decisions—An Agent-Based Approach," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    74. Jasmina Arifovic & Michael Maschek, 2006. "Revisiting Individual Evolutionary Learning in the Cobweb Model – An Illustration of the Virtual Spite-Effect," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 333-354, November.
    75. C.H. Hommes & J.H. Sonnemans & J. Tuinstra & H. van de Velde, 2003. "Learning in Cobweb Experiments," Tinbergen Institute Discussion Papers 03-020/1, Tinbergen Institute.
    76. Oliver Musshoff & Alfons Balmann, 2003. "Real options: Institutional implications for vertical integration of supply chains in competitive environments," Computing in Economics and Finance 2003 306, Society for Computational Economics.
    77. Kellermann, Konrad & Balmann, Alfons, 2006. "How Smart Should Farms Be Modeled? Behavioral Foundation of Bidding Strategies in Agent-Based Land Market Models," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25446, International Association of Agricultural Economists.
    78. S Geisendorf, 2009. "The Influence of Innovation and Imitation on Economic Performance," Economic Issues Journal Articles, Economic Issues, vol. 14(1), pages 65-94, March.
    79. Balmann, Alfons & Happe, Kathrin & Kellermann, Konrad & Kleingarn, Anne, 2001. "Adjustment Costs Of Agri-Environmental Policy Switchings - A Multi-Agent Approach," 2001 Annual meeting, August 5-8, Chicago, IL 20506, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    80. Andre Veski & Kaire Põder, 2016. "Strategies in the Tallinn School Choice Mechanism," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 8(1).
    81. Adrian MICU & Angela Eliza MICU & Kamer AIVAZ & Alexandru CAPATINA, 2016. "The Genetic Approach Of Marketing Research," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 229-246.
    82. Junyi Xu, 2021. "Reinforcement Learning in a Cournot Oligopoly Model," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1001-1024, December.
    83. Chen, Shu-Heng & Yeh, Chia-Hsuan, 2002. "On the emergent properties of artificial stock markets: the efficient market hypothesis and the rational expectations hypothesis," Journal of Economic Behavior & Organization, Elsevier, vol. 49(2), pages 217-239, October.
    84. Arifovic, Jasmina & Ledyard, John, 2011. "A behavioral model for mechanism design: Individual evolutionary learning," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 374-395, May.
    85. Soman, Sethuram & Misgna, Girmay & Kraft, Steven E. & Lant, Chris & Beaulieu, Jeffrey R., 2008. "An Agent-Based Model of Multifunctional Agricultural Landscape Using Genetic Algorithms," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6142, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    86. Balmann, Alfons & Musshoff, Oliver, 2002. "Is The "Standard Real Options Approach" Appropriate For Investment Decisions In Hog Production?," 2002 Annual meeting, July 28-31, Long Beach, CA 19897, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    87. Benaroch, Michel, 1996. "Artificial intelligence in economics Truth and dare," Journal of Economic Dynamics and Control, Elsevier, vol. 20(4), pages 601-605, April.
    88. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    89. Sonnemans, J. & Hommes, C.H. & Tuinstra, J. & van de Velden, H., 1999. "The Instability of a Heterogeneous Cobweb economy: a Strategy Experiment on Expectation Formation," CeNDEF Working Papers 99-06, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    90. Edmund Chattoe-Brown, 1998. "Just How (Un)realistic Are Evolutionary Algorithms As Representations of Social Processes?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(3), pages 1-2.
    91. Waltman, L. & van Eck, N.J.P., 2009. "A Mathematical Analysis of the Long-run Behavior of Genetic Algorithms for Social Modeling," ERIM Report Series Research in Management ERS-2009-011-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    92. Ludovic A. Julien, 2003. "Chômage d’équilibre, équilibres multiples et défauts de coordination," L'Actualité Economique, Société Canadienne de Science Economique, vol. 79(4), pages 523-562.
    93. Wolbert-Haverkamp, Matthias & Feil, Jan-Henning & Mußhoff, Oliver, 2014. "The value chain of heat production from woody biomass under market competition and different intervention systems: An agent-based real options model," DARE Discussion Papers 1407, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    94. Sylvie Geisendorf, 2009. "The economic concept of evolution: self-organization or Universal Darwinism?," Journal of Economic Methodology, Taylor & Francis Journals, vol. 16(4), pages 377-391.
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    97. Feil, Jan-Henning & Mußhoff, Oliver, 2016. "Analysing investment and disinvestment decisions under uncertainty, firm heterogeneity and tradable output permits," DARE Discussion Papers 1602, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    98. Jasmina Arifovic & James B. Bullard & John Duffy, 1995. "Learning in a model of economic growth and development," Working Papers 1995-017, Federal Reserve Bank of St. Louis.
    99. Shu-Heng Chen & Chia-Hsuan Yeh, 1999. "Evolving Traders and the Faculty of the Business School: A New Architecture of the Artificial Stock Market," Computing in Economics and Finance 1999 613, Society for Computational Economics.
    100. Steven Kimbrough & Frederic Murphy, 2009. "Learning to Collude Tacitly on Production Levels by Oligopolistic Agents," Computational Economics, Springer;Society for Computational Economics, vol. 33(1), pages 47-78, February.
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    129. Brock, W.A. & Hommes, C.H. & Wagener, F.O.O., 2006. "More hedging instruments may destabilize markets," CeNDEF Working Papers 06-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
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    138. Adalbert Mayer, 2022. "An Agent-Based Macroeconomic Model with Endogenous Intertemporal Decision Rules," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(4), pages 548-579, October.
    139. Riechmann, Thomas, 2001. "Genetic algorithm learning and evolutionary games," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 1019-1037, June.
    140. Lijian Wei & Wei Zhang & Xue-Zhong He & Yongjie Zhang, 2013. "Learning and Information Dissemination in Limit Order Markets," Research Paper Series 333, Quantitative Finance Research Centre, University of Technology, Sydney.
    141. Jie-Shin Lin, 2005. "An Analysis on Simulation Models of Competing Parties," Computing in Economics and Finance 2005 284, Society for Computational Economics.
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    144. Orlando Gomes, 2004. "Optimal Monetary Policy under Heterogeneous Expectations," Macroeconomics 0409023, University Library of Munich, Germany.
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Chapters

  1. Jasmina Arifovic & Anil Donmez & John Ledyard & Megan Tjandrasuwita, 2022. "Individual evolutionary learning and zero-intelligence in the continuous double auction," Chapters, in: Sascha Füllbrunn & Ernan Haruvy (ed.), Handbook of Experimental Finance, chapter 19, pages 225-249, Edward Elgar Publishing.

    Cited by:

    1. Anufriev, Mikhail & Arifovic, Jasmina & Donmez, Anil & Ledyard, John & Panchenko, Valentyn, 2025. "IEL-CDA model: A more accurate theory of behavior in continuous double auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    2. Jamal, Karim & Maier, Michael & Sunder, Shyam, 2024. "Emergence of information aggregation to rational expectations equilibria in markets populated by biased heuristic traders," Journal of Economic Behavior & Organization, Elsevier, vol. 228(C).
    3. Dawid, Herbert & Hommes, Cars & Petersen, Luba, 2025. "Introduction to the special issue on computational and experimental economics in memory of Jasmina Arifovic," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).

  2. Jasmina Arifovic, 2014. "Evolving Better Strategies for Central Bank Communication: Evidence from the Laboratory," Research in Experimental Economics, in: Experiments in Macroeconomics, volume 17, pages 229-258, Emerald Group Publishing Limited.

    Cited by:

    1. John Duffy & Frank Heinemann, 2016. "Central Bank Reputation, Cheap Talk and Transparency as Substitutes for Commitment: Experimental Evidence," Working Papers 161703, University of California-Irvine, Department of Economics.

Books

    Sorry, no citations of books recorded.
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