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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. 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..

  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. Tolga Özden, 2021. "Heterogeneous Expectations and the Business Cycle at the Effective Lower Bound," Working Papers 714, DNB.
    2. 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).

  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. 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.
    2. Raphael A. Auer & Giulio Cornelli & Jon Frost, 2020. "Rise of the Central Bank Digital Currencies: Drivers, Approaches and Technologies," CESifo Working Paper Series 8655, CESifo.
    3. Cyril Monnet & Hyun Song Shin & Jon Frost & Leonardo Gambacorta & Raphael Auer & Tara Rice, 2022. "Central Bank Digital Currencies: Motives, Economic Implications, and the Research Frontier," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 697-721, August.
    4. Janet Hua Jiang & Cathy Zhang, 2017. "Competing Currencies in the Laboratory," Staff Working Papers 17-53, Bank of Canada.
    5. Jiang, Janet Hua & Zhang, Cathy, 2018. "Competing currencies in the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 253-280.
    6. 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.
    7. 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.
    8. 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.
    9. Janet Hua Jiang, 2020. "CBDC adoption and usage: some insights from field and laboratory experiments," Staff Analytical Notes 2020-12, Bank of Canada.
    10. 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.
    11. 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.

  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. Jiang, Janet Hua & Zhang, Cathy, 2018. "Competing currencies in the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 253-280.
    2. 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.
    3. 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.

  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. 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.
    2. He Nie & Jordan Roulleau-Pasdeloup, 2022. "Online Appendix to "The promises (and perils) of control-contingent forward guidance"," Online Appendices 21-153, Review of Economic Dynamics.
    3. 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.
    4. 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.
    5. Mackowiak, Bartosz & Jarocinski, Marek, 2017. "Monetary-Fiscal Interactions and the Euro Area's Malaise," CEPR Discussion Papers 12020, C.E.P.R. Discussion Papers.
    6. Robert Kollmann, 2020. "Liquidity Traps in a Monetary Union," Globalization Institute Working Papers 397, Federal Reserve Bank of Dallas.
    7. Evans, George & Gibbs, Christopher & McGough, Bruce, 2021. "A Unified Model of Learning to Forecast," Working Papers 2021-10, University of Sydney, School of Economics.
    8. Kollmann, Robert, 2021. "Liquidity Traps in a World Economy," CEPR Discussion Papers 15631, C.E.P.R. Discussion Papers.
    9. 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.
    10. 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.
    11. 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.
    12. Kevin J. Lansing, 2019. "Endogenous Forecast Switching Near the Zero Lower Bound," Working Paper Series 2017-24, Federal Reserve Bank of San Francisco.
    13. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    14. Gilles Dufrénot & Meryem Rhouzlane, 2018. "Secular Stagnation: New Challenges for the Industrialized Countries in the 21st Century," Working Papers halshs-01821669, HAL.
    15. Maksim Isakin & Phuong V. Ngo, 2022. "Multiplicity in New Keynesian Models," Open Economies Review, Springer, vol. 33(3), pages 505-521, July.
    16. 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).

  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. 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.
    2. 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).
    3. 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.
    4. Cars Hommes, 2017. "From Self-Fulfilling Mistakes to Behavioral Learning Equilibria," Studies in Economic Theory, in: Kazuo Nishimura & Alain Venditti & Nicholas C. Yannelis (ed.), Sunspots and Non-Linear Dynamics, chapter 0, pages 97-123, Springer.
    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.
    6. Marx, Robert & Lehmann-Waffenschmidt, Marco, 2022. "The Keynesian beauty contest revisited," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 164-181.
    7. 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.
    8. 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).
    9. Salle, Isabelle L., 2023. "What to target? Insights from a lab experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 514-533.
    10. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    11. Zhao, Dongxu & Li, Kai, 2022. "Bounded rationality, adaptive behaviour, and asset prices," International Review of Financial Analysis, Elsevier, vol. 80(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. 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.
    2. Cars Hommes & Joep Lustenhouwer, 2019. "Inflation Targeting and Liquidity Traps Under Endogenous Credibility," Staff Working Papers 19-9, Bank of Canada.
    3. Fatemeh Mokhtarzadeh & Luba Petersen, 2017. "Coordinating expectations through central bank projections," Discussion Papers dp17-03, Department of Economics, Simon Fraser University.
    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. 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.
    6. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    7. Martin Geiger & Wolfgang Luhan & Johann Scharler, 2015. "When do Fiscal Consolidations Lead to Consumption Booms? Lessons from a Laboratory Experiment," Working Papers 2015-06, Faculty of Economics and Statistics, Universität Innsbruck.

  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. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. Surajeet Chakravarty & Miguel A. Fonseca & Todd Kaplan, 2012. "An Experiment on the Causes of Bank Run Contagions," Discussion Papers 1206, University of Exeter, Department of Economics.
    7. Konstantinos Georgalos & Indrajit Ray & Sonali SenGupta, 2020. "Nash versus coarse correlation," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1178-1204, December.
    8. 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.
    9. 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.
    10. Camera, Gabriele & Casari, Marco & Bortolotti, Stefania, 2014. "An experiment on retail payments systems," SAFE Working Paper Series 49, Leibniz Institute for Financial Research SAFE.
    11. 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.
    12. Bucher, Monika & Dietrich, Diemo & Tvede, Mich, 2018. "Coordination failures, bank runs and asset prices," Discussion Papers 39/2018, Deutsche Bundesbank.
    13. 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.

  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. Dietmar Fehr & Frank Heinemann & Aniol Llorente-Saguer, 2013. "The power of sunspots: an experimental analysis," Working Papers 13-2, Federal Reserve Bank of Boston.
    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. Camille Cornand & Frank Heinemann, 2019. "Experiments on macroeconomics: methods and applications," Post-Print halshs-01902045, HAL.
    4. 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).
    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. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.

  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. 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.
    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. 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.
    5. 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.
    6. 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.
    7. Florian Hauser & Marco LiCalzi, 2011. "Learning to Trade in an Unbalanced Market," Lecture Notes in Economics and Mathematical Systems, in: Sjoukje Osinga & Gert Jan Hofstede & Tim Verwaart (ed.), Emergent Results of Artificial Economics, pages 65-76, Springer.
    8. 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.
    9. 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.
    10. Sabiou M. Inoua & Vernon L. Smith, 2022. "Perishable goods versus re-tradable assets: A theoretical reappraisal of a fundamental dichotomy," Chapters, in: Sascha Füllbrunn & Ernan Haruvy (ed.), Handbook of Experimental Finance, chapter 15, pages 162-171, Edward Elgar Publishing.
    11. 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.
    12. 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.
    13. 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.
    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. 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.
    16. 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).
    17. 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).
    18. Ruijgrok, Matthijs, 2012. "A single-item continuous double auction game," MPRA Paper 42086, University Library of Munich, Germany.
    19. 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.
    20. 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.
    21. 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).

  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. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," SciencePo Working papers Main hal-01070338, HAL.
    2. 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.
    3. Jasmina Arifovic & Murat Yildizoglu, 2019. "Learning the Ramsey Outcome in a Kydland & Prescott Economy," Post-Print hal-03428629, HAL.
    4. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    5. Di Bartolomeo Giovanni & Saltari Enrico & Semmler Willi, 2022. "The effects of political short-termism on transitions induced by pollution regulations," wp.comunite 00154, Department of Communication, University of Teramo.
    6. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models," Post-Print hal-03461262, HAL.
    7. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Hétérogénéité des agents, interconnexions financières et politique monétaire : une approche non conventionnelle," SciencePo Working papers Main hal-03458429, HAL.
    8. Duffy, John Michael & Heinemann, Frank, 2016. "Central bank reputation, cheap talk and transparency as substitutes for commitment: Experimental evidence," SFB 649 Discussion Papers 2016-053, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    9. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," EconomiX Working Papers 2012-17, University of Paris Nanterre, EconomiX.
    10. Mauro Napoletano, 2018. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(3), pages 257-281.
    11. Ermanno Catullo & Mauro Gallegati & Alberto Russo, 2020. "Forecasting in a complex environment: Machine learning sales expectations in a Stock Flow Consistent Agent-Based simulation model," Working Papers 2020/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    12. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    13. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Market disequilibrium, monetary policy, and financial markets : insights from new tools," Documents de Travail de l'OFCE 2018-21, Observatoire Francais des Conjonctures Economiques (OFCE).
    14. Jaylson Jair Da Silveira & Gilberto Tadeu Lima, 2016. "Conquering Credibility For Monetary Policy Under Sticky Confidence," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 023, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    15. Feldman, Todd, 2018. "Unwinding ZIRP: A simulation analysis," Finance Research Letters, Elsevier, vol. 24(C), pages 278-288.
    16. Zhang, Huanren, 2018. "Errors can increase cooperation in finite populations," Games and Economic Behavior, Elsevier, vol. 107(C), pages 203-219.
    17. 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.
    18. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    19. 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.
    20. Jean-Philippe Bouchaud & Stanislao Gualdi & Marco Tarzia & Francesco Zamponi, 2018. "Optimal inflation target: insights from an agent-based model," Post-Print hal-01768441, HAL.
    21. 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 (IfW Kiel), vol. 12, pages 1-27.

  13. 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. Luba Petersen & Jasmina Arifovic, 2015. "Escaping Expectations-Driven Liquidity Traps: Experimental Evidence," Discussion Papers dp15-03, Department of Economics, Simon Fraser University.
    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. Isabelle Salle & Murat Yildizoglu & Martin Zumpe & Marc-Alexandre Sénégas, 2017. "Coordination through social learning in a general equilibrium model," Post-Print hal-01848386, HAL.
    4. 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.

  14. 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. Isabelle Salle & Murat Yildizoglu & Martin Zumpe & Marc-Alexandre Sénégas, 2012. "Modelling social learning in an Agent-Based new keynesian macroeconomic model," Post-Print hal-00779045, HAL.
    2. Sylvain Barde & Sander van Der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," SciencePo Working papers Main hal-03458672, HAL.
    3. Gasteiger, Emanuel, 2018. "Do Heterogeneous Expectations Constitute A Challenge For Policy Interaction?," Macroeconomic Dynamics, Cambridge University Press, vol. 22(8), pages 2107-2140, December.
    4. 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.
    5. 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.
    6. Orlando Gomes, 2008. "Stability under Learning: the Endogenous Growth Problem," Working Papers Series 1 ercwp1708, ISCTE-IUL, Business Research Unit (BRU-IUL).
    7. 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.
    8. Isabelle Salle & Pascal Seppecher, 2013. "Social Learning about Consumption," Working Papers hal-00989233, HAL.
    9. Honkapohja, Seppo & Evans, George W., 2008. "Expectations, Learning and Monetary Policy: An Overview of Recent Rersearch," CEPR Discussion Papers 6640, C.E.P.R. Discussion Papers.
    10. 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.
    11. 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.
    12. Vicente da Gama Machado, 2012. "Monetary Policy, Asset Prices and Adaptive Learning," Working Papers Series 274, Central Bank of Brazil, Research Department.
    13. Chengcheng Jia & Jing Cynthia Wu, 2022. "Average Inflation Targeting: Time Inconsistency and Ambiguous Communication," NBER Working Papers 29673, National Bureau of Economic Research, Inc.
    14. Isabelle Salle & Murat Yildizoglu & Marc-Alexandre Sénégas, 2013. "Inflation targeting in a learning economy: an ABM perspective," Post-Print hal-00778979, HAL.
    15. Pascal Seppecher & Isabelle Salle & Dany Lang, 2019. "Is the market really a good teacher ? Market selection, collective adaptation and financial instability," Post-Print hal-01532903, HAL.
    16. 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.
    17. 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.
    18. 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.
    19. Anufriev, M. & Hommes, C.H. & Makarewicz, T.A., 2015. "Simple Forecasting Heuristics that Make us Smart: Evidence from Different Market Experiments," CeNDEF Working Papers 15-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    20. Anna Agliari & Domenico Massaro & Nicolò Pecora & Alessandro Spelta, 2017. "Inflation Targeting, Recursive Inattentiveness, and Heterogeneous Beliefs," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(7), pages 1587-1619, October.
    21. 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.
    22. Isabelle Salle & Murat Yildizoglu & Martin Zumpe & Marc-Alexandre Sénégas, 2017. "Coordination through social learning in a general equilibrium model," Post-Print hal-01848386, HAL.
    23. Grimaud, Alex, 2021. "Precautionary saving and un-anchored expectations," ECON WPS - Working Papers in Economic Theory and Policy 08/2021, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    24. Dawid, Herbert & Harting, Philipp & Neugart, Michael & Hoog, Sander van der, 2019. "Macroeconomics with heterogeneous agent models: fostering transparency, reproducibility and replication," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 113126, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    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. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
    27. 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.
    28. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    29. Grimaud, Alex, 2021. "Precautionary saving and un-anchored expectations," MPRA Paper 108931, University Library of Munich, Germany.
    30. Guna Raj Bhatta & Rabindra Nepal & Charles Harvie & Kankesu Jayanthakumaran, 2021. "Testing for uncovered interest parity conditions in a small open economy: A state space modelling approach," CAMA Working Papers 2021-56, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    31. Anufriev, Mikhail & Assenza, Tiziana & Hommes, Cars & Massaro, Domenico, 2013. "Interest Rate Rules And Macroeconomic Stability Under Heterogeneous Expectations," Macroeconomic Dynamics, Cambridge University Press, vol. 17(8), pages 1574-1604, December.
    32. Georges, Christophre, 2008. "Staggered updating in an artificial financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2809-2825, September.
    33. 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.
    34. 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.
    35. Jasmina Arifovic & Alex Grimaud & Isabelle Salle & Gauthier Vermandel, 2024. "Social Learning and Monetary Policy at the Effective Lower Bound," Post-Print hal-04502663, HAL.

  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. 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).
    2. Marco Casari, 2004. "Can Genetic Algorithms Explain Experimental Anomalies?," Computational Economics, Springer;Society for Computational Economics, vol. 24(3), pages 257-275, March.
    3. 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.
    4. Sylvie Geisendorf, 2011. "Internal selection and market selection in economic Genetic Algorithms," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 817-841, December.
    5. 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.

  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. 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.
    2. 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.
    3. 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.
    4. 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.

  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. 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.
    2. 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.
    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. James B. Bullard & John Duffy, 1994. "Using genetic algorithms to model the evolution of heterogeneous beliefs," Working Papers 1994-028, Federal Reserve Bank of St. Louis.
    2. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    3. 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.
    4. 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.
    5. 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.
    6. Jie-Shin Lin, 2005. "Learning in a Network Economy," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 59-74, February.
    7. 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.
    8. Christos Alexakis & Michael Dowling & Konstantinos Eleftheriou & Michael Polemis, 2021. "Textual Machine Learning: An Application to Computational Economics Research," Post-Print hal-03182910, HAL.
    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. Christoph Zott, 2002. "When Adaptation Fails," Journal of Conflict Resolution, Peace Science Society (International), vol. 46(6), pages 727-753, December.

  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. 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).
    2. Neugart, Michael & Yildirim, Selen, 2022. "Heritability in friendship networks," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 130048, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. 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.
    4. 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.
    5. 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.
    6. David Goldbaum, 2016. "Conformity and Influence," Working Paper Series 35, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    7. Mikhail Anufriev & Kirill Borissov & Mikhail Pakhnin, 2021. "Dissonance Minimization and Conversation in Social Networks," CESifo Working Paper Series 9433, CESifo.
    8. Gustavo Adolfo Caballero Orozco, 2016. "Luck and Effort: Learning about Income from Friends and Neighbors," 2016 Papers pca706, Job Market Papers.
    9. Rapanos, Theodoros, 2023. "What makes an opinion leader: Expertise vs popularity," Games and Economic Behavior, Elsevier, vol. 138(C), pages 355-372.
    10. Steven Kivinen, 2017. "Polarization in Strategic Networks," Working Papers daleconwp2017-01, Dalhousie University, Department of Economics.
    11. David Goldbaum, 2016. "Networks formation to assist decision making," Working Paper Series 37, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

Articles

  1. 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. 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.

  2. 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.
  3. 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. 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).
    2. Carè, Rosella & Cumming, Douglas, 2024. "Technology and automation in financial trading: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 71(C).
    3. Breckenfelder, Johannes, 2019. "Competition among high-frequency traders, and market quality," Working Paper Series 2290, European Central Bank.
    4. He, Xue-Zhong & Lin, Shen, 2022. "Reinforcement Learning Equilibrium in Limit Order Markets," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    5. 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.
    6. Choudhary, Priya & Thenmozhi, M., 2024. "Fintech and financial sector: ADO analysis and future research agenda," International Review of Financial Analysis, Elsevier, vol. 93(C).

  4. 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. Hanemaaijer, Kyra & Marie, Olivier & Musumeci, Marco, 2023. "The Fast and the Studious? Ramadan Observance and Student Performance," CEPR Discussion Papers 18203, C.E.P.R. Discussion Papers.
    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 & 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.

  5. 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, 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.

  6. 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, 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).
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    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. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    12. 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).
    13. 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.

  7. 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. Hanemaaijer, Kyra & Marie, Olivier & Musumeci, Marco, 2023. "The Fast and the Studious? Ramadan Observance and Student Performance," CEPR Discussion Papers 18203, C.E.P.R. Discussion Papers.
    2. Toni Ricardo Eugenio dos Santos & Marcio Issao Nakane, 2019. "Dynamic Bank Runs: an agent-based approach," Working Papers, Department of Economics 2019_07, University of São Paulo (FEA-USP).
    3. 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).
    4. Giovanni Dosi & Andrea Roventini, 2019. "More is Different ... and Complex! The Case for Agent-Based Macroeconomics," LEM Papers Series 2019/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  8. 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.
  9. 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. 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. 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.
    3. Hanemaaijer, Kyra & Marie, Olivier & Musumeci, Marco, 2023. "The Fast and the Studious? Ramadan Observance and Student Performance," CEPR Discussion Papers 18203, C.E.P.R. Discussion Papers.
    4. 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.
    5. 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.
    6. Kets, Willemien & Kager, Wouter & Sandroni, Alvaro, 2021. "The Value of a Coordination Game," SocArXiv ymzrd, Center for Open Science.
    7. 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.
    8. 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.
    9. 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.
    10. Guy Aridor & Rava Azeredo da Silveira & Michael Woodford, 2024. "Information-Constrained Coordination of Economic Behavior," CESifo Working Paper Series 10935, CESifo.

  10. 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.
  11. Jasmina Arifovic & John Ledyard, 2018. "Learning to alternate," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 692-721, September.

    Cited by:

    1. 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.
    2. 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.
    3. Zhao, Shuchen, 2021. "Taking turns in continuous time," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 257-279.
    4. Sheryl Ball & Chetan Dave & Stefan Dodds, 2023. "Enumerating rights: more is not always better," Public Choice, Springer, vol. 196(3), pages 403-425, September.
    5. 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.
    6. 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).
    7. 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.
    8. He, Simin & Wu, Jiabin, 2018. "Compromise and Coordination: An Experimental Study," MPRA Paper 84713, University Library of Munich, Germany.
    9. 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.
    10. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    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. Gabriele Camera & Alessandro Gioffré, 2024. "Cooperation in Temporary Partnerships," Working Papers 24-07, Chapman University, Economic Science Institute.

  12. 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. Kopanyi-Peuker, Anita & Weber, Matthias, 2018. "Experience Does not Eliminate Bubbles: Experimental Evidence," SocArXiv ecj7q, Center for Open Science.
    2. Janet Hua Jiang & Daniela Puzzello & Cathy Zhang, 2023. "Inflation, Output, and Welfare in the Laboratory," Staff Working Papers 23-11, Bank of Canada.
    3. 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.
    4. 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).
    5. Mikhail Anufriev & Aleksei Chernulich & Jan Tuinstra, 2020. "Asset Price Volatility and Investment Horizons: An Experimental Investigation," Working Papers 20200053, New York University Abu Dhabi, Department of Social Science, revised Aug 2020.
    6. Camille Cornand & Maria Alejandra Erazo Diaz & Adam Zylbersztejn, 2023. "Trading and Cognition in Asset Markets: An Eye-tracking Experiment," Working Papers hal-04074298, HAL.
    7. Camille Cornand & Paul Hubert, 2019. "On the external validity of experimental inflation forecasts: A comparison with five categories of field expectations," Working Papers hal-03403259, HAL.
    8. Oleksiy Kryvtsov & Luba Petersen, 2019. "Central Bank Communication That Works: Lessons from Lab Experiments," Staff Working Papers 19-21, Bank of Canada.
    9. Steinbacher, Mitja & Raddant, Matthias & Karimi, Fariba & Camacho-Cuena, Eva & Alfarano, Simone & Iori, Giulia & Lux, Thomas, 2021. "Advances in the Agent-Based Modeling of Economic and Social Behavior," MPRA Paper 107317, University Library of Munich, Germany.
    10. Camille Cornand & Frank Heinemann, 2019. "Experiments on macroeconomics: methods and applications," Post-Print halshs-01902045, HAL.
    11. Camille Cornand & Cheick Kader M'Baye, 2016. "Band or Point Inflation Targeting? An Experimental Approach," Working Papers halshs-01313095, HAL.
    12. Bulutay, Muhammed & Cornand, Camille & Zylbersztejn, Adam, 2022. "Learning to deal with repeated shocks under strategic complementarity: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1318-1343.
    13. Fatemeh Mokhtarzadeh & Luba Petersen, 2021. "Coordinating expectations through central bank projections," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 883-918, September.
    14. 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.
    15. Ermanno Catullo & Mauro Gallegati & Alberto Russo, 2020. "Forecasting in a complex environment: Machine learning sales expectations in a Stock Flow Consistent Agent-Based simulation model," Working Papers 2020/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    16. 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.
    17. Ryan Rholes & Luba Petersen, 2020. "Should central banks communicate uncertainty in their projections?," Discussion Papers dp20-01, Department of Economics, Simon Fraser University.
    18. Camille Cornand & Paul Hubert, 2020. "On the external validity of experimental inflation forecasts," Post-Print hal-02894262, HAL.
    19. John Duffy, 2022. "Why macroeconomics needs experimental evidence," The Japanese Economic Review, Springer, vol. 73(1), pages 5-29, January.
    20. 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.
    21. John Duffy & Daniela Puzzello, 2019. "The Friedman Rule in the Laboratory," 2019 Meeting Papers 541, Society for Economic Dynamics.
    22. 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.
    23. Salle, Isabelle L., 2023. "What to target? Insights from a lab experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 514-533.
    24. 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.
    25. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. Sbarile, Andrea, 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.
    33. 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).
    34. 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.

  13. 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.
  14. 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.
  15. 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. 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.
    2. 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.
    3. 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..
    4. John Duffy & Aikaterini Karadimitropoulou & Melanie Parravano, 2016. "Financial Contagion in the Laboratory: Does Network Structure Matter?," Working Papers 151608, University of California-Irvine, Department of Economics.
    5. Hanemaaijer, Kyra & Marie, Olivier & Musumeci, Marco, 2023. "The Fast and the Studious? Ramadan Observance and Student Performance," CEPR Discussion Papers 18203, C.E.P.R. Discussion Papers.
    6. 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.
    7. 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.
    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. 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.
    10. 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.
    11. Toni Ricardo Eugenio dos Santos & Marcio Issao Nakane, 2019. "Dynamic Bank Runs: an agent-based approach," Working Papers, Department of Economics 2019_07, University of São Paulo (FEA-USP).
    12. 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.
    13. 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.
    14. Nathan Foley-Fisher & Borghan Narajabad & Stéphane Verani, 2020. "Self-Fulfilling Runs: Evidence from the US Life Insurance Industry," Journal of Political Economy, University of Chicago Press, vol. 128(9), pages 3520-3569.
    15. 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).
    16. Luba Petersen & Jasmina Arifovic, 2015. "Escaping Expectations-Driven Liquidity Traps: Experimental Evidence," Discussion Papers dp15-03, Department of Economics, Simon Fraser University.
    17. 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.
    18. Surajeet Chakravarty & Miguel A. Fonseca & Todd Kaplan, 2012. "An Experiment on the Causes of Bank Run Contagions," Discussion Papers 1206, University of Exeter, Department of Economics.
    19. Oana Peia & Radu Vranceanu, 2017. "Experimental evidence on bank runs under partial deposit insurance," Working Papers hal-01510692, HAL.
    20. 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.
    21. 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.
    22. Gergely Horváth & Hubert János Kiss, 2014. "Correlated observations, the law of small numbers and bank runs," CERS-IE WORKING PAPERS 1429, Institute of Economics, Centre for Economic and Regional Studies.
    23. Martin Brown & Stefan T. Trautmann & Razvan Vlahu, 2017. "Understanding Bank-Run Contagion," Management Science, INFORMS, vol. 63(7), pages 2272-2282, July.
    24. Camera, Gabriele & Casari, Marco & Bortolotti, Stefania, 2014. "An experiment on retail payments systems," SAFE Working Paper Series 49, Leibniz Institute for Financial Research SAFE.
    25. 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.
    26. Guy Aridor & Rava Azeredo da Silveira & Michael Woodford, 2024. "Information-Constrained Coordination of Economic Behavior," CESifo Working Paper Series 10935, CESifo.
    27. 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.
    28. Hubert J. Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2022. "Preventing (Panic) Bank Runs," CERS-IE WORKING PAPERS 2213, Institute of Economics, Centre for Economic and Regional Studies.
    29. Bucher, Monika & Dietrich, Diemo & Tvede, Mich, 2018. "Coordination failures, bank runs and asset prices," Discussion Papers 39/2018, Deutsche Bundesbank.
    30. Hubert Janos Kiss & Ismael Rodriguez-Lara & Alfonso Rosa-Garcia, 2018. "Who runs first to the bank?," CERS-IE WORKING PAPERS 1826, Institute of Economics, Centre for Economic and Regional Studies.
    31. 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.
    32. Fernando Martin & Aleksander Berentsen & David Andolfatto, 2016. "Financial Fragility in Monetary Economies," 2016 Meeting Papers 1626, Society for Economic Dynamics.
    33. 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.
    34. Shakina, Ekaterina & Angerer, Martin, 2018. "Coordination and communication during bank runs," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 115-130.
    35. 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.
    36. Martin Dufwenberg, 2014. "Banking on Experiments?," Working Papers 534, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    37. Kiss, Hubert János & Rodriguez-Lara, Ismael & Rosa-Garcia, Alfonso, 2022. "Who withdraws first? Line formation during bank runs," Journal of Banking & Finance, Elsevier, vol. 140(C).
    38. 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.
    39. 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.
    40. 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.
    41. 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.

  16. 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.
  17. 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. Meier, Stephan & Pierce, Lamar & Vaccaro, Antonino, 2014. "Trust and In-Group Favoritism in a Culture of Crime," IZA Discussion Papers 8169, Institute of Labor Economics (IZA).
    2. 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.
    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, 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.
    5. 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).
    6. 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.
    7. Kei Tsutsui & Daniel Zizzo, 2014. "Group status, minorities and trust," Experimental Economics, Springer;Economic Science Association, vol. 17(2), pages 215-244, June.
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. 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.

  18. 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. Conte, Anna & Levati, Vittoria & Montinari, Natalia, 2014. "Experience in Public Goods Experiments," Working Papers 2014:20, Lund University, Department of Economics.
    2. 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.
    3. 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).
    4. 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.
    5. Jasmina Arifovic & Liang Dia & Nobuyuki Hanaki, 2023. "An individual evolutionary learning model meets Cournot," ISER Discussion Paper 1200, Institute of Social and Economic Research, Osaka University.
    6. John J Nay & Yevgeniy Vorobeychik, 2016. "Predicting Human Cooperation," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-19, May.
    7. Dutcher, E. Glenn & Salmon, Timothy C. & Saral, Krista J., 2015. "Is "Real" Effort More Real?," MPRA Paper 68394, University Library of Munich, Germany.
    8. 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.
    9. 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.
    10. Malte Baader & Simon Gaechter & Kyeongtae Lee & Martin Sefton, 2022. "Social Preferences and the Variability of Conditional Cooperation," CESifo Working Paper Series 9924, CESifo.
    11. John J. Nay & Yevgeniy Vorobeychik, 2016. "Predicting Human Cooperation," Papers 1601.07792, arXiv.org, revised Apr 2016.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Krasteva, Silvana & Saboury, Piruz, 2021. "Informative fundraising: The signaling value of seed money and matching gifts," Journal of Public Economics, Elsevier, vol. 203(C).
    17. 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.
    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. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. Gabriele Camera & Alessandro Gioffré, 2024. "Cooperation in Temporary Partnerships," Working Papers 24-07, Chapman University, Economic Science Institute.
    31. Jasmina Arifovic & Alex Grimaud & Isabelle Salle & Gauthier Vermandel, 2024. "Social Learning and Monetary Policy at the Effective Lower Bound," Post-Print hal-04502663, HAL.
    32. 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.

  19. 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. Bogna Gawronska-Nowak & Wojciech Grabowski, 2015. "Using genetic algorithm in dynamic model of speculative attack," Working Papers 51/2015, Institute of Economic Research, revised Apr 2015.
    2. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    3. 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).
    4. 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.
    5. 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.

  20. 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. 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. Dietrichson, Jens, 2013. "Coordination Incentives, Performance Measurement and Resource Allocation in Public Sector Organizations," Working Papers 2013:26, Lund University, Department of Economics.
    3. 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.
    4. Vessela Daskalova & Nicolaas J. Vriend, 2021. "Learning Frames," Working Papers 202118, School of Economics, University College Dublin.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    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. 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.
    11. Jasmina Arifovic & John Ledyard, 2018. "Learning to alternate," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 692-721, September.
    12. 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.
    13. 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.
    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. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    20. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    21. 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).
    22. 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.
    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. 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).
    25. , J. & ,, 2012. "Designing stable mechanisms for economic environments," Theoretical Economics, Econometric Society, vol. 7(3), September.
    26. 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.
    27. 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.

  21. 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.
  22. 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.
  23. 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. Jason Shachat & J. Todd Swarthout, 2003. "Learning about Learning in Games through Experimental Control of Strategic Interdependence," Experimental 0310003, University Library of Munich, Germany.
    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. Steven Gjerstad & Jason M. Shachat, 2007. "Individual Rationality and Market Efficiency," Purdue University Economics Working Papers 1204, Purdue University, Department of Economics.

  24. 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. Hanemaaijer, Kyra & Marie, Olivier & Musumeci, Marco, 2023. "The Fast and the Studious? Ramadan Observance and Student Performance," CEPR Discussion Papers 18203, C.E.P.R. Discussion Papers.
    2. 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.
    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. 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.
    5. 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).
    6. 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).
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Jasmina Arifovic & John Ledyard, 2018. "Learning to alternate," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 692-721, September.
    15. 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.
    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. 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.
    18. Marco LiCalzi & Lucia Milone & Paolo Pellizzari, 2011. "Allocative Efficiency and Traders’ Protection Under Zero Intelligence Behavior," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 5-28, Springer.
    19. Heinrich, Timo & Seifert, Matthias & Then, Franziska, 2020. "Near-losses in insurance markets: An experiment," Economics Letters, Elsevier, vol. 186(C).
    20. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    21. 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).
    22. 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.
    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. 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.

  25. 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. 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.
    2. Hanaki, Nobuyuki & Ishikawa, Ryuichiro & Akiyama, Eizo, 2009. "Learning games," Journal of Economic Dynamics and Control, Elsevier, vol. 33(10), pages 1739-1756, October.
    3. Nobuyuki Hanaki, 2005. "Individual and Social Learning," Computational Economics, Springer;Society for Computational Economics, vol. 26(3), pages 31-50, November.
    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. 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.
    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. 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.
    9. Alan Mehlenbacher, 2007. "Multiagent System Platform for Auction Simulations," Department Discussion Papers 0706, Department of Economics, University of Victoria.
    10. 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.
    11. 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.
    12. Nobuyuki Hanaki & Rajiv Sethi & Ido Erev & Alexander Peterhansl, 2002. "Learning Strategies," Game Theory and Information 0211004, University Library of Munich, Germany.
    13. 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.
    14. 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.
    15. 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.
    16. Juan Camilo Cárdenas & César Mantilla & Rajiv Sethi, 2013. "Commons without Tragedy: Sampling Dynamics and Cooperative Resource Extraction," Documentos CEDE 11892, Universidad de los Andes, Facultad de Economía, CEDE.
    17. 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.
    18. Shu-Heng Chan & Shu G. Wang, 2010. "Emergent Complexity in Agent-Based Computational Economics," ASSRU Discussion Papers 1017, ASSRU - Algorithmic Social Science Research Unit.

  26. 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. Waltman, L. & van Eck, N.J.P. & Dekker, R. & Kaymak, U., 2009. "Economic Modeling Using Evolutionary Algorithms: The Effect of a Binary Encoding of Strategies," ERIM Report Series Research in Management ERS-2009-028-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.
    2. Thomas Vallée & Murat Yildizoglu, 2007. "Convergence in Finite Cournot Oligopoly with Social and Individual Learning," Post-Print hal-00293929, HAL.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Thomas Vallée & Murat Yildizoglu, 2010. "Can they beat the Cournot equilibrium? Learning with memory and convergence to equilibria in a Cournot oligopoly," Working Papers hal-00526258, HAL.
    8. 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.
    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. 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).
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Kshitija Taywade & Brent Harrison & Adib Bagh, 2022. "Modelling Cournot Games as Multi-agent Multi-armed Bandits," Papers 2201.01182, arXiv.org.
    17. 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.
    18. 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.

  27. 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. 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.
    2. Philippe Aghion & Ernst Fehr & Richard Holden & Tom Wilkening, 2018. "The Role of Bounded Rationality and Imperfect Information in Subgame Perfect Implementation—An Empirical Investigation," Journal of the European Economic Association, European Economic Association, vol. 16(1), pages 232-274.
    3. Jasmina Arifovic & Murat Yildizoglu, 2019. "Learning the Ramsey Outcome in a Kydland & Prescott Economy," Post-Print hal-03428629, HAL.
    4. Dietrichson, Jens, 2013. "Coordination Incentives, Performance Measurement and Resource Allocation in Public Sector Organizations," Working Papers 2013:26, Lund University, Department of Economics.
    5. 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.
    6. 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.
    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. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Fehr, Ernst & Powell, Michael & Wilkening, Tom, 2014. "Handing Out Guns at a Knife Fight: Behavioral Limitations of Subgame-Perfect Implementation," IZA Discussion Papers 8404, Institute of Labor Economics (IZA).
    16. 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.
    17. Jasmina Arifovic & John Ledyard, 2018. "Learning to alternate," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 692-721, September.
    18. Chernulich, Aleksei, 2021. "Modelling reference dependence for repeated choices: A horse race between models of normalisation," Journal of Economic Psychology, Elsevier, vol. 87(C).
    19. Thomas Brenner, 2004. "Agent Learning Representation - Advice in Modelling Economic Learning," Papers on Economics and Evolution 2004-16, Philipps University Marburg, Department of Geography.
    20. 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).
    21. 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.
    22. 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.
    23. 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).
    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. 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.
    26. Graubner, Marten, 2011. "The Spatial Agent-based Competition Model (SpAbCoM)," IAMO Discussion Papers 109915, Institute of Agricultural Development in Transition Economies (IAMO).
    27. 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.
    28. 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.
    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. 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 & 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).
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.

  28. 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. 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.
    2. PREMINGER, Arie & FRANCK, Raphael, 2007. "Forecasting exchange rates: a robust regression approach," LIDAM Reprints CORE 1917, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. 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.
    4. 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.
    5. 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.

  29. 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. 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.
    2. 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.
    3. 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.
    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. 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.

  30. 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.

  31. 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. 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.
    2. Gagnon, Gregory, 2004. "Exchange rate fluctuations in an economy with noise traders," Journal of Macroeconomics, Elsevier, vol. 26(1), pages 45-63, March.
    3. Simone Alfarano & Thomas Lux, 2007. "A Minimal Noise Trader Model with Realistic Time Series Properties," Springer Books, in: Gilles Teyssière & Alan P. Kirman (ed.), Long Memory in Economics, pages 345-361, Springer.
    4. Andrea Morone, 2008. "Financial markets in the laboratory: an experimental analysis of some stylized facts," Quantitative Finance, Taylor & Francis Journals, vol. 8(5), pages 513-532.
    5. 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.
    6. 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.
    7. 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.
    8. Nuzzo, Simone & Morone, Andrea, 2017. "Asset markets in the lab: A literature review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 13(C), pages 42-50.
    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. 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 (IfW Kiel).
    11. Alfarano, Simone & Lux, Thomas, 2007. "A Noise Trader Model As A Generator Of Apparent Financial Power Laws And Long Memory," Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 80-101, November.
    12. Siddiqi, Hammad, 2007. "Rational Interacting Agents and Volatility Clustering: A New Approach," MPRA Paper 2984, University Library of Munich, Germany.
    13. 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.
    14. 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.
    15. Georges, Christophre, 2006. "Learning with misspecification in an artificial currency market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(1), pages 70-84, May.
    16. Andrea Morone, 2002. "Financial Market in the Laboratory," Computing in Economics and Finance 2002 151, Society for Computational Economics.
    17. 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.
    18. 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.
    19. Lux, Thomas, 2008. "Stochastic behavioral asset pricing models and the stylized facts," Kiel Working Papers 1426, Kiel Institute for the World Economy (IfW Kiel).
    20. 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.
    21. Rui Carvalho, 2001. "The Dynamics of the Linear Random Farmer Model," Papers cond-mat/0107150, arXiv.org.
    22. 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.
    23. 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.
    24. 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).

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

    Cited by:

    1. 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.
    2. Isabelle Salle & Murat Yildizoglu & Martin Zumpe & Marc-Alexandre Sénégas, 2012. "Modelling social learning in an Agent-Based new keynesian macroeconomic model," Post-Print hal-00779045, HAL.
    3. 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.
    4. 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.
    5. James B. Bullard, 2006. "The learnability criterion and monetary policy," Review, Federal Reserve Bank of St. Louis, vol. 88(May), pages 203-217.
    6. 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.
    7. Isabelle Salle & Pascal Seppecher, 2013. "Social Learning about Consumption," Working Papers hal-00989233, HAL.
    8. John Ledyard & Jasmina Arifovic, 2003. "Computer Testbeds: The Dynamics of Groves-Ledyard Mechanisms," Computing in Economics and Finance 2003 244, Society for Computational Economics.
    9. Isabelle Salle & Murat Yildizoglu & Marc-Alexandre Sénégas, 2013. "Inflation targeting in a learning economy: an ABM perspective," Post-Print hal-00778979, HAL.
    10. Pascal Seppecher & Isabelle Salle & Dany Lang, 2019. "Is the market really a good teacher ? Market selection, collective adaptation and financial instability," Post-Print hal-01532903, HAL.
    11. 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.
    12. Howitt, Peter & Özak, Ömer, 2014. "Adaptive consumption behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 37-61.
    13. 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.
    14. Isabelle Salle & Murat Yildizoglu & Martin Zumpe & Marc-Alexandre Sénégas, 2017. "Coordination through social learning in a general equilibrium model," Post-Print hal-01848386, HAL.
    15. 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.
    16. Serguei Kaniovski, 2005. "Product differentiation and competitive selection," Journal of Evolutionary Economics, Springer, vol. 15(5), pages 567-580, November.
    17. Jasmina Arifovic & James B. Bullard & Olena Kostyshyna, 2007. "Social learning and monetary policy rules," Working Papers 2007-007, Federal Reserve Bank of St. Louis.
    18. 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.
    19. 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.
    20. 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.
    21. Paul Shea, 2019. "The Macroeconomics of Pascal’s Wager," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 481-496, October.
    22. Robert Somogyi & Janos Vincze, 2011. "Price Rigidity and Strategic Uncertainty An Agent-based Approach," CERS-IE WORKING PAPERS 1135, Institute of Economics, Centre for Economic and Regional Studies.
    23. 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.

  33. 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. 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).
    2. Christoph Zott, 2002. "When Adaptation Fails," Journal of Conflict Resolution, Peace Science Society (International), vol. 46(6), pages 727-753, December.

  34. 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. Kaushik Mitra & Seppo Honkapohja, 2004. "Learning Stability in Economies with Heterogenous Agents," Royal Holloway, University of London: Discussion Papers in Economics 04/17, Department of Economics, Royal Holloway University of London, revised Jul 2004.
    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. 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.
    4. Chryssi Giannitsarou, 2003. "Heterogeneous Learning," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(4), pages 885-906, October.
    5. Orlando Gomes, 2004. "Optimal Monetary Policy under Heterogeneous Expectations," Macroeconomics 0409023, University Library of Munich, Germany.

  35. 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. 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.
    2. James Bullard & John Duffy, 1999. "Learning and Excess Volatility," Computing in Economics and Finance 1999 224, Society for Computational Economics.
    3. C. Mónica Capra & Tomomi Tanaka & Colin F. Camerer & Lauren Munyan & Veronica Sovero & Lisa Wang & Charles Noussair, 2005. "The Impact of Simple Institutions in Experimental Economies with Poverty Traps," Levine's Bibliography 666156000000000662, UCLA Department of Economics.
    4. Marcet, Albert & Nicolini, Juan Pablo, 1998. "Recurrent Hyperinflations and Learning," CEPR Discussion Papers 1875, C.E.P.R. Discussion Papers.
    5. James B. Bullard & John Duffy, 1994. "Using genetic algorithms to model the evolution of heterogeneous beliefs," Working Papers 1994-028, Federal Reserve Bank of St. Louis.
    6. Rohan Dutta & David K. Levine & Nicholas W. Papageorge & Lemin Wu, 2018. "Entertaining Malthus: Bread, Circuses, And Economic Growth," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 358-380, January.
    7. Roger Koppl & Abigail Devereaux & Jim Herriot & Stuart Kauffman, 2018. "A Simple Combinatorial Model of World Economic History," Papers 1811.04502, arXiv.org.
    8. Orlando Gomes, 2008. "Stability under Learning: the Endogenous Growth Problem," Working Papers Series 1 ercwp1708, ISCTE-IUL, Business Research Unit (BRU-IUL).
    9. Jakob Grazzini, 2011. "Consistent Estimation of Agent Based Models," LABORatorio R. Revelli Working Papers Series 110, LABORatorio R. Revelli, Centre for Employment Studies.
    10. Gary D. Hansen & Edward C. Prescott, 2002. "Malthus to Solow," American Economic Review, American Economic Association, vol. 92(4), pages 1205-1217, September.
    11. 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.
    12. Albert Marcet & Juan Pablo Nicolini, 2005. "Money and prices in models of bounded rationality in high inflation economies," Economics Working Papers 875, Department of Economics and Business, Universitat Pompeu Fabra.
    13. Patrick M. Emerson & Bruce McGough, 2018. "Learning About Education," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 263-277, January.
    14. 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.
    15. 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.
    16. 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.
    17. Arifovic, Jasmina, 2001. "Evolutionary dynamics of currency substitution," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 395-417, March.
    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. 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.
    20. 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.
    21. 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.
    22. Paul Shea, 2019. "The Macroeconomics of Pascal’s Wager," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 481-496, October.
    23. Sergey Slobodyan, 1999. "Sunspot Fluctuations: A Way Out of a Development Trap?," Computing in Economics and Finance 1999 922, Society for Computational Economics.
    24. Christoph Zott, 2002. "When Adaptation Fails," Journal of Conflict Resolution, Peace Science Society (International), vol. 46(6), pages 727-753, December.
    25. 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.
    26. Grazzini Jakob, 2011. "Estimating Micromotives from Macrobehavior," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201111, University of Turin.
    27. 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.
    28. 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.

  36. 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. Christopher Boyer & B. Brorsen & Tong Zhang, 2014. "Common-value auction versus posted-price selling: an agent-based model approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(1), pages 129-149, April.
    2. Te Bao & John Duffy & Cars Hommes, 2012. "Learning, Forecasting and Optimizing: An Experimental Study," Tinbergen Institute Discussion Papers 12-015/1, Tinbergen Institute.
    3. Haruvy, Ernan & Roth, Alvin E. & Unver, M. Utku, 2006. "The dynamics of law clerk matching: An experimental and computational investigation of proposals for reform of the market," Journal of Economic Dynamics and Control, Elsevier, vol. 30(3), pages 457-486, March.
    4. Waltman, L. & van Eck, N.J.P. & Dekker, R. & Kaymak, U., 2009. "Economic Modeling Using Evolutionary Algorithms: The Effect of a Binary Encoding of Strategies," ERIM Report Series Research in Management ERS-2009-028-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.
    5. Ding, Shuze & Puzzello, Daniela, 2020. "Legal restrictions and international currencies: An experimental approach," Journal of International Economics, Elsevier, vol. 126(C).
    6. 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.
    7. Klemz, Bruce R., 1999. "Using genetic algorithms to assess the impact of pricing activity timing," Omega, Elsevier, vol. 27(3), pages 363-372, June.
    8. LeBaron, Blake, 2001. "Evolution And Time Horizons In An Agent-Based Stock Market," Macroeconomic Dynamics, Cambridge University Press, vol. 5(02), pages 225-254, April.
    9. Gagnon, Gregory, 2004. "Exchange rate fluctuations in an economy with noise traders," Journal of Macroeconomics, Elsevier, vol. 26(1), pages 45-63, March.
    10. James Bullard & John Duffy, 1999. "Learning and Excess Volatility," Computing in Economics and Finance 1999 224, Society for Computational Economics.
    11. Artem Kuriksha, 2021. "An Economy of Neural Networks: Learning from Heterogeneous Experiences," Papers 2110.11582, arXiv.org.
    12. Hommes, C.H. & Rosser, B.J., Jr., 2000. "Consistent Expectations Equilibria and Complex Dynamics in Renewable Resource Markets," CeNDEF Working Papers 00-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    13. 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).
    14. Jing Yang, 1999. "Heterogeneous Beliefs, Intelligent Agents, and Allocative Efficiency in an Artificial Stock Market," Computing in Economics and Finance 1999 612, Society for Computational Economics.
    15. Carl Chiarella & Xue-Zhong He & Lijian Wei, 2013. "Learning and Evolution of Trading Strategies in Limit Order Markets," Research Paper Series 335, Quantitative Finance Research Centre, University of Technology, Sydney.
    16. 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.
    17. James B. Bullard & John Duffy, 1994. "Using genetic algorithms to model the evolution of heterogeneous beliefs," Working Papers 1994-028, Federal Reserve Bank of St. Louis.
    18. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    19. 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.
    20. Lux, Thomas & Alfarano, Simone, 2016. "Financial power laws: Empirical evidence, models, and mechanisms," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 3-18.
    21. 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.
    22. 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.
    23. 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.
    24. Eric Fisher, 2004. "Exploring Elements of Exchange Rate Theory in a Controlled Enivronment," Levine's Bibliography 122247000000000199, UCLA Department of Economics.
    25. Djeutem, Edouard & Kasa, Kenneth, 2013. "Robustness and exchange rate volatility," Journal of International Economics, Elsevier, vol. 91(1), pages 27-39.
    26. 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 (IfW Kiel).
    27. 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.
    28. 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.
    29. Winkelried, Diego & Castillo, Paul, 2010. "Dollarization persistence and individual heterogeneity," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1596-1618, December.
    30. 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.
    31. Pyo, Dong-Jin, 2014. "A Multi-Factor Model of Heterogeneous Traders in a Dynamic Stock Market," Staff General Research Papers Archive 37358, Iowa State University, Department of Economics.
    32. Marey, Philip S., 2004. "Exchange rate expectations: controlled experiments with artificial traders," Journal of International Money and Finance, Elsevier, vol. 23(2), pages 283-304, March.
    33. LeBaron, Blake & Arthur, W. Brian & Palmer, Richard, 1999. "Time series properties of an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1487-1516, September.
    34. Thomas Lux, 2009. "Applications of Statistical Physics in Finance and Economics," Chapters, in: J. Barkley Rosser Jr. (ed.), Handbook of Research on Complexity, chapter 9, Edward Elgar Publishing.
    35. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2007. "Agent-based Models of Financial Markets," Papers physics/0701140, arXiv.org.
    36. Simon Neaime, 2000. "A Perspective on the Future Dollar-Euro Exchange Rate: Implications for the Peripheral Mediterranean Countries," Working Papers 2032, Economic Research Forum, revised 10 2000.
    37. Marco Casari, 2004. "Can Genetic Algorithms Explain Experimental Anomalies?," Computational Economics, Springer;Society for Computational Economics, vol. 24(3), pages 257-275, March.
    38. 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.
    39. Roberto Ricciuti, 2005. "Bringing Macroeconomics into the Lab," Labsi Experimental Economics Laboratory University of Siena 004, University of Siena.
    40. 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.
    41. Lux, Thomas, 2008. "Applications of statistical physics in finance and economics," Kiel Working Papers 1425, Kiel Institute for the World Economy (IfW Kiel).
    42. Dan Ladley, 2010. "Contagion and risk-sharing on the inter-bank market," Discussion Papers in Economics 11/10, Division of Economics, School of Business, University of Leicester, revised Jan 2013.
    43. John Duffy, 2008. "Macroeconomics: A Survey of Laboratory Research," Working Paper 334, Department of Economics, University of Pittsburgh, revised Jun 2014.
    44. 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.
    45. 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.
    46. Thomas H. Noe & Michael J. Rebello & Jun Wang, 2006. "The Evolution of Security Designs," Journal of Finance, American Finance Association, vol. 61(5), pages 2103-2135, October.
    47. Kirill Chernomaz, 2014. "Adaptive learning in an asymmetric auction: genetic algorithm approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(1), pages 27-51, April.
    48. De Grauwe, Paul & Markiewicz, Agnieszka, 2013. "Learning to forecast the exchange rate: Two competing approaches," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 42-76.
    49. 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 (IfW Kiel).
    50. Sahin, Hasan, 2006. "MENA countries as optimal currency areas: Reality or dream," Journal of Policy Modeling, Elsevier, vol. 28(5), pages 511-521, July.
    51. Terje Lensberg & Klaus Reiner Schenk-Hoppé & Daniel Ladley, 2012. "Costs and Benefits of Financial Regulation: Short-Selling Bans and Transaction Taxes," Swiss Finance Institute Research Paper Series 12-27, Swiss Finance Institute.
    52. Tiziana Assenza & Te Bao & Cars Hommes & Domenico Massaro, 2014. "Experiments on Expectations in Macroeconomics and Finance," Research in Experimental Economics, in: Experiments in Macroeconomics, volume 17, pages 11-70, Emerald Group Publishing Limited.
    53. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2001. "Microscopic Models of Financial Markets," Papers cond-mat/0110354, arXiv.org.
    54. Makarewicz, Tomasz, 2019. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," BERG Working Paper Series 141, Bamberg University, Bamberg Economic Research Group.
    55. 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.
    56. Xinhui Yang & Jie Zhang & Qing Ye, 2020. "Tick size and market quality: Simulations based on agent‐based artificial stock markets," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(3), pages 125-141, July.
    57. Blake LeBaron & Leigh Tesfatsion, 2008. "Modeling Macroeconomies as Open-Ended Dynamic Systems of Interacting Agents," American Economic Review, American Economic Association, vol. 98(2), pages 246-250, May.
    58. 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.
    59. Jiang, Janet Hua & Puzzello, Daniela & Zhang, Cathy, 2021. "How long is forever in the laboratory? Three implementations of an infinite-horizon monetary economy," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 278-301.
    60. Beenstock, Michael & Szpiro, George, 2002. "Specification search in nonlinear time-series models using the genetic algorithm," Journal of Economic Dynamics and Control, Elsevier, vol. 26(5), pages 811-835, May.
    61. Agnieszka Markiewicz, 2012. "Model Uncertainty And Exchange Rate Volatility," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 815-844, August.
    62. 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).
    63. James B. Bullard & John Duffy, 1995. "On learning and the stability of cycles," Working Papers 1995-006, Federal Reserve Bank of St. Louis.
    64. 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.
    65. Christopher N. Boyer & B. Wade Brorsen & James R. Fain, 2015. "Private‐Value Auction Versus Posted‐Price Selling: An Agent‐Based Model Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(4), pages 249-262, October.
    66. Thomas Riechmann, 1999. "Learning and behavioral stability An economic interpretation of genetic algorithms," Journal of Evolutionary Economics, Springer, vol. 9(2), pages 225-242.
    67. 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).
    68. 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.
    69. Hoffmann, Arvid O.I. & Jager, Wander, 2004. "The effect of different needs, decisionmaking processes and networkstructures on investor behavior and stock market dynamics : a simulation approach," Research Report 04B25, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    70. Pyo, Dong-Jin, 2015. "Animal spirits and stock market dynamics," ISU General Staff Papers 201501010800005596, Iowa State University, Department of Economics.
    71. Georges, Christophre, 2006. "Learning with misspecification in an artificial currency market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(1), pages 70-84, May.
    72. Riechmann, Thomas, 2001. "Genetic algorithm learning and evolutionary games," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 1019-1037, June.
    73. 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.
    74. Arifovic, Jasmina, 2001. "Evolutionary dynamics of currency substitution," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 395-417, March.
    75. Alfarano, Simone & Lux, Thomas & Wagner, Friedrich, 2006. "Time-variation of higher moments in a financial market with heterogeneous agents: An analytical approach," Economics Working Papers 2006-16, Christian-Albrechts-University of Kiel, Department of Economics.
    76. Ernan Haruvy & M. Utku Ünver, 2003. "Equilibrium Selection in Repeated Business-to-Business Matching Markets," Experimental 0305004, University Library of Munich, Germany, revised 03 Dec 2004.
    77. 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.
    78. 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.
    79. 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.
    80. Assenza, T. & Bao, T. & Massaro, D. & Hommes, C.H., 2014. "Experiments on Expectations in Macroeconomics and Finance," CeNDEF Working Papers 14-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    81. Agnieszka Markiewicz, 2010. "Monetary Policy, Model Uncertainty and Exchange Rate Volatility," CESifo Working Paper Series 2949, CESifo.
    82. 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.
    83. 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.
    84. 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.
    85. Jie-Shin Lin, 2005. "Learning in a Network Economy," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 59-74, February.
    86. 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.
    87. 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.
    88. 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).
    89. 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.
    90. 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.
    91. 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.
    92. 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.
    93. Lux, Thomas, 2006. "Financial power laws: Empirical evidence, models, and mechanism," Economics Working Papers 2006-12, Christian-Albrechts-University of Kiel, Department of Economics.
    94. Casari, Marco, 2008. "Markets in equilibrium with firms out of equilibrium: A simulation study," Journal of Economic Behavior & Organization, Elsevier, vol. 65(2), pages 261-276, February.
    95. Kozhan, Roman & Salmon, Mark, 2012. "The information content of a limit order book: The case of an FX market," Journal of Financial Markets, Elsevier, vol. 15(1), pages 1-28.
    96. Lensberg, Terje & Schenk-Hoppé, Klaus Reiner & Ladley, Dan, 2012. "Costs and Benefits of Speculation," Discussion Papers 2012/12, Norwegian School of Economics, Department of Business and Management Science.
    97. 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.
    98. Steinbacher, Matjaz, 2008. "Stochastic Processes in Finance and Behavioral Finance," MPRA Paper 13603, University Library of Munich, Germany.
    99. He, Xue-Zhong & Lin, Shen, 2022. "Reinforcement Learning Equilibrium in Limit Order Markets," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    100. Neaime, Simon & Paschakis, John, 2002. "The future of the dollar-euro exchange rate," The North American Journal of Economics and Finance, Elsevier, vol. 13(1), pages 56-71, May.
    101. Andrew Lo & Nicholas Chan & Blake LeBaron & Tomaso Poggio, 1999. "Information Dissemination and Aggregation in Asset Markets with Simple Intelligent Traders," Computing in Economics and Finance 1999 653, Society for Computational Economics.
    102. 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.
    103. Balmann, Alfons & Kataria, Karin & Musshoff, Oliver, 2013. "Investment reluctance in supply chains: An agent-based real options approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 3(2A), pages 1-10.
    104. Eric O' N. Fisher, 2001. "Purchasing Power Parity and Interest Parity in the Laboratory," ISER Discussion Paper 0531, Institute of Social and Economic Research, Osaka University.
    105. Christopher Boyer & B. Brorsen, 2014. "Implications of a Reserve Price in an Agent-Based Common-Value Auction," Computational Economics, Springer;Society for Computational Economics, vol. 43(1), pages 33-51, January.
    106. 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.
    107. Terje Lensberg & Klaus Reiner Schenk-Hoppe, 2006. "On the Evolution of Investment Strategies and the Kelly Rule – A Darwinian Approach," Swiss Finance Institute Research Paper Series 06-38, Swiss Finance Institute.
    108. Lux, Thomas, 2008. "Stochastic behavioral asset pricing models and the stylized facts," Kiel Working Papers 1426, Kiel Institute for the World Economy (IfW Kiel).
    109. Paul Gomme, 1998. "Evolutionary programming as a solution technique for the Bellman equation," Working Papers (Old Series) 9816, Federal Reserve Bank of Cleveland.
    110. 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.
    111. 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.
    112. Baboo M Nowbutsing, 2012. "Experiments in International Economics," Journal of Economics and Behavioral Studies, AMH International, vol. 4(2), pages 75-86.
    113. 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.
    114. 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.
    115. 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.
    116. 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).
    117. 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.
    118. Manahov, Viktor & Urquhart, Andrew, 2021. "The efficiency of Bitcoin: A strongly typed genetic programming approach to smart electronic Bitcoin markets," International Review of Financial Analysis, Elsevier, vol. 73(C).
    119. 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).
    120. John Duffy, 1998. "Monetary theory in the laboratory," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 9-26.
    121. Sylvie Geisendorf, 2011. "Internal selection and market selection in economic Genetic Algorithms," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 817-841, December.
    122. 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.
    123. 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.
    124. 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.

  37. Arifovic, Jasmina, 1995. "Genetic algorithms and inflationary economies," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 219-243, August.

    Cited by:

    1. Kaushik Mitra & James Bullard, "undated". "Learning About Monetary Policy Rules," Discussion Papers 00/41, Department of Economics, University of York.
    2. Klemz, Bruce R., 1999. "Using genetic algorithms to assess the impact of pricing activity timing," Omega, Elsevier, vol. 27(3), pages 363-372, June.
    3. 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.
    4. Atanas Christev, 2007. "Learning Hyperinflations," Money Macro and Finance (MMF) Research Group Conference 2006 126, Money Macro and Finance Research Group.
    5. Felipe Perez, 1997. "Private Experience in Adaptive Learning Models," Levine's Working Paper Archive 1403, David K. Levine.
    6. Baranowski, Ryan, 2015. "Adaptive learning and monetary exchange," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 1-18.
    7. James B. Bullard & John Duffy, 1994. "Using genetic algorithms to model the evolution of heterogeneous beliefs," Working Papers 1994-028, Federal Reserve Bank of St. Louis.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Adam, Klaus & Evans, George W. & Honkapohja, Seppo, 2003. "Are stationary hyperinflation paths learnable?," CFS Working Paper Series 2004/15, Center for Financial Studies (CFS).
    13. 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.
    14. Jakob Grazzini, 2011. "Consistent Estimation of Agent Based Models," LABORatorio R. Revelli Working Papers Series 110, LABORatorio R. Revelli, Centre for Employment Studies.
    15. Isabelle Salle & Pascal Seppecher, 2013. "Social Learning about Consumption," Working Papers hal-00989233, HAL.
    16. 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.
    17. Makarewicz, Tomasz, 2019. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," BERG Working Paper Series 141, Bamberg University, Bamberg Economic Research Group.
    18. Isabelle Salle & Murat Yildizoglu & Marc-Alexandre Sénégas, 2013. "Inflation targeting in a learning economy: an ABM perspective," Post-Print hal-00778979, HAL.
    19. J. Daniel Aromí & Martín Llada, 2020. "Forecasting inflation with twitter," Asociación Argentina de Economía Política: Working Papers 4308, Asociación Argentina de Economía Política.
    20. James B. Bullard & John Duffy, 1995. "On learning and the stability of cycles," Working Papers 1995-006, Federal Reserve Bank of St. Louis.
    21. 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.
    22. 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).
    23. 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.
    24. Riechmann, Thomas, 2001. "Genetic algorithm learning and evolutionary games," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 1019-1037, June.
    25. 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.
    26. 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.
    27. Arifovic, Jasmina, 2001. "Evolutionary dynamics of currency substitution," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 395-417, March.
    28. Isabelle Salle & Murat Yildizoglu & Martin Zumpe & Marc-Alexandre Sénégas, 2017. "Coordination through social learning in a general equilibrium model," Post-Print hal-01848386, HAL.
    29. 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.
    30. Rotheli, Tobias F., 2001. "Acquisition of costly information: an experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 46(2), pages 193-208, October.
    31. 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.
    32. 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.
    33. Brock, W.A. & de Fontnouvelle, P., 1996. "Expectational Diversity in Monetary Economics," Working papers 9624, Wisconsin Madison - Social Systems.
    34. 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.
    35. 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.
    36. Jie-Shin Lin, 2005. "Learning in a Network Economy," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 59-74, February.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. Junttila, Juha, 2001. "Structural breaks, ARIMA model and Finnish inflation forecasts," International Journal of Forecasting, Elsevier, vol. 17(2), pages 203-230.
    43. Jie-Shin Lin, 2005. "An Analysis on Simulation Models of Competing Parties," Computing in Economics and Finance 2005 284, Society for Computational Economics.
    44. Paul Gomme, 1998. "Evolutionary programming as a solution technique for the Bellman equation," Working Papers (Old Series) 9816, Federal Reserve Bank of Cleveland.
    45. 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.
    46. 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.
    47. 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.
    48. 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.
    49. 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.

  38. Arifovic, Jasmina & Eaton, Curtis, 1995. "Coordination via Genetic Learning," Computational Economics, Springer;Society for Computational Economics, vol. 8(3), pages 181-203, August.
    See citations under working paper version above.
  39. 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. Waltman, L. & van Eck, N.J.P. & Dekker, R. & Kaymak, U., 2009. "Economic Modeling Using Evolutionary Algorithms: The Effect of a Binary Encoding of Strategies," ERIM Report Series Research in Management ERS-2009-028-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.
    2. Thomas Vallée & Murat Yildizoglu, 2007. "Convergence in Finite Cournot Oligopoly with Social and Individual Learning," Post-Print hal-00293929, HAL.
    3. 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.
    4. 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.
    5. Murat Yildizoglu & Marc-Alexandre Sénégas & Isabelle Salle & Martin Zumpe, 2011. "Learning the optimal buffer-stock consumption rule of Carroll," Working Papers halshs-00573689, HAL.
    6. 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," Department of Agricultural and Rural Development (DARE) Discussion Papers 260813, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
    7. Caleb Stroup, 2014. "International Deal Experience and Cross-Border Acquisitions," Working Papers 14-13, Davidson College, Department of Economics.
    8. Ersoz, Ibrahim & Colak, Uner, 2016. "Combined cooling, heat and power planning under uncertainty," Energy, Elsevier, vol. 109(C), pages 1016-1025.
    9. 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.
    10. 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.
    11. 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.
    12. Safarzynska, Karolina & van den Bergh, Jeroen C.J.M., 2011. "Beyond replicator dynamics: Innovation-selection dynamics and optimal diversity," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 229-245, May.
    13. James B. Bullard & John Duffy, 1994. "Using genetic algorithms to model the evolution of heterogeneous beliefs," Working Papers 1994-028, Federal Reserve Bank of St. Louis.
    14. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    15. Hommes, C.H., 2005. "Heterogeneous Agent Models in Economics and Finance, In: Handbook of Computational Economics II: Agent-Based Computational Economics, edited by Leigh Tesfatsion and Ken Judd , Elsevier, Amsterdam 2006," CeNDEF Working Papers 05-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    16. Thomas Riechmann, 2006. "Cournot or Walras? Long-Run Results in Oligopoly Games," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 162(4), pages 702-720, December.
    17. Mattheos K. Protopapas, 2008. "Determination of sequential best replies in n-player games by Genetic Algorithms," Working Papers 002, COMISEF.
    18. Heemeijer, Peter & Hommes, Cars & Sonnemans, Joep & Tuinstra, Jan, 2009. "Price stability and volatility in markets with positive and negative expectations feedback: An experimental investigation," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1052-1072, May.
    19. Rostam-Afschar, Davud & Meissner, Thomas, 2014. "Do tax cuts increase consumption? An experimental test of Ricardian Equivalence," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100348, Verein für Socialpolitik / German Economic Association.
    20. Jasmina Arifovic & Liang Dia & Nobuyuki Hanaki, 2023. "An individual evolutionary learning model meets Cournot," ISER Discussion Paper 1200, Institute of Social and Economic Research, Osaka University.
    21. 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 (IfW Kiel).
    22. 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.
    23. 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.
    24. Protopapas, M.K. & Kosmatopoulos, E.B. & Battaglia, F., 2009. "Coevolutionary Genetic Algorithms for Establishing Nash Equilibrium in Symmetric Cournot Games," MPRA Paper 15375, University Library of Munich, Germany.
    25. 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.
    26. Tesfatsion, Leigh, 1998. "Teaching Agent-Based Computational Economics To Graduate Students," Economic Reports 18193, Iowa State University, Department of Economics.
    27. Marco Casari, 2004. "Can Genetic Algorithms Explain Experimental Anomalies?," Computational Economics, Springer;Society for Computational Economics, vol. 24(3), pages 257-275, March.
    28. 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.
    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. 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.
    31. 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.
    32. Ludo Waltman & Nees Eck, 2009. "Robust Evolutionary Algorithm Design for Socio-Economic Simulation: Some Comments," Computational Economics, Springer;Society for Computational Economics, vol. 33(1), pages 103-105, February.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. Guse, Eran A., 2010. "Heterogeneous expectations, adaptive learning, and evolutionary dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 74(1-2), pages 42-57, May.
    39. Balmann, Alfons & Happe, Kathrin, 2001. "Agentenbasierte Politik- und Sektoranalyse - Perspektiven und Herausforderungen," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 50(08), pages 1-12.
    40. 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.
    41. Hommes, Cars, 2011. "The heterogeneous expectations hypothesis: Some evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 1-24, January.
    42. 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.
    43. 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.
    44. Thomas H. Noe & Michael J. Rebello & Jun Wang, 2006. "The Evolution of Security Designs," Journal of Finance, American Finance Association, vol. 61(5), pages 2103-2135, October.
    45. Orlando Gomes, 2008. "Stability under Learning: the Endogenous Growth Problem," Working Papers Series 1 ercwp1708, ISCTE-IUL, Business Research Unit (BRU-IUL).
    46. Junyi Xu, 2021. "Reinforcement Learning in a Cournot Oligopoly Model," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1001-1024, December.
    47. Kirill Chernomaz, 2014. "Adaptive learning in an asymmetric auction: genetic algorithm approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(1), pages 27-51, April.
    48. 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.
    49. Feil, Jan-Henning & Musshoff, Oliver, 2013. "Modelling investment and disinvestment decisions under competition, uncertainty and different market interventions," Economic Modelling, Elsevier, vol. 35(C), pages 443-452.
    50. John Ledyard & Jasmina Arifovic, 2003. "Computer Testbeds: The Dynamics of Groves-Ledyard Mechanisms," Computing in Economics and Finance 2003 244, Society for Computational Economics.
    51. 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.
    52. 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.
    53. 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.
    54. 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.
    55. Arifovic, Jasmina, 1995. "Genetic algorithms and inflationary economies," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 219-243, August.
    56. Hommes, C.H., 1999. "Cobweb Dynamics under Bounded Rationality," CeNDEF Working Papers 99-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    57. Riechmann, Thomas, 2001. "Two Notes on Replication in Evolutionary Modelling," Hannover Economic Papers (HEP) dp-239, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    58. 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.
    59. Neugart, Michael & Tuinstra, Jan, 2001. "Endogenous fluctuations in the demand for education," Discussion Papers, Research Unit: Labor Market Policy and Employment FS I 01-209, WZB Berlin Social Science Center.
    60. Sonnemans, Joep & Hommes, Cars & Tuinstra, Jan & van de Velden, Henk, 2004. "The instability of a heterogeneous cobweb economy: a strategy experiment on expectation formation," Journal of Economic Behavior & Organization, Elsevier, vol. 54(4), pages 453-481, August.
    61. 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.
    62. 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.
    63. Brock, W.A. & Hommes, C.H. & Wagener, F.O.O., 2009. "More hedging instruments may destabilize markets," Journal of Economic Dynamics and Control, Elsevier, vol. 33(11), pages 1912-1928, November.
    64. 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.
    65. Jim Granato & Eran Guse & Sunny Wong, 2006. "Learning From the Expectations of Others," Computing in Economics and Finance 2006 449, Society for Computational Economics.
    66. 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.
    67. 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.
    68. 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.
    69. Tesfatsion, Leigh, 1995. "How Economists Can Get Alife," ISU General Staff Papers 199509010700001035, Iowa State University, Department of Economics.
    70. 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).
    71. Lu Hong & Scott E. Page, 1998. "Diversity and Optimality," Research in Economics 98-08-077e, Santa Fe Institute.
    72. 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.
    73. James B. Bullard & John Duffy, 1995. "On learning and the stability of cycles," Working Papers 1995-006, Federal Reserve Bank of St. Louis.
    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. 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.
    76. Thomas Riechmann, 1999. "Learning and behavioral stability An economic interpretation of genetic algorithms," Journal of Evolutionary Economics, Springer, vol. 9(2), pages 225-242.
    77. 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.
    78. 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.
    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. 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).
    81. Anufriev, M. & Hommes, C.H. & Makarewicz, T.A., 2015. "Simple Forecasting Heuristics that Make us Smart: Evidence from Different Market Experiments," CeNDEF Working Papers 15-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    82. Georges, Christophre, 2006. "Learning with misspecification in an artificial currency market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(1), pages 70-84, May.
    83. Riechmann, Thomas, 2001. "Genetic algorithm learning and evolutionary games," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 1019-1037, June.
    84. 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.
    85. 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.
    86. Thomas Riechman, 2000. "A Model Of Boundedly Rational Consumer Choice," Computing in Economics and Finance 2000 321, Society for Computational Economics.
    87. Windrum, Paul, 1999. "Simulation models of technological innovation: A Review," Research Memorandum 005, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    88. Arifovic, Jasmina, 2001. "Evolutionary dynamics of currency substitution," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 395-417, March.
    89. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, November.
    90. Thomas Brenner, 2004. "Agent Learning Representation - Advice in Modelling Economic Learning," Papers on Economics and Evolution 2004-16, Philipps University Marburg, Department of Geography.
    91. 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.
    92. 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.
    93. 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.
    94. 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).
    95. 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.
    96. Reiner Franke & Tim Nesemann, 1999. "Two destabilizing strategies may be jointly stabilizing," Journal of Economics, Springer, vol. 69(1), pages 1-18, February.
    97. 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.
    98. Hong, Lu & Page, Scott E., 2001. "Problem Solving by Heterogeneous Agents," Journal of Economic Theory, Elsevier, vol. 97(1), pages 123-163, March.
    99. 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.
    100. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
    101. 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.
    102. Graubner, Marten, 2011. "The Spatial Agent-based Competition Model (SpAbCoM)," IAMO Discussion Papers 109915, Institute of Agricultural Development in Transition Economies (IAMO).
    103. 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.
    104. 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.
    105. 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.
    106. 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.
    107. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186, Elsevier.
    108. Jie-Shin Lin, 2005. "Learning in a Network Economy," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 59-74, February.
    109. 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).
    110. Julien, Ludovic A., 2003. "Chômage d’équilibre, équilibres multiples et défauts de coordination," L'Actualité Economique, Société Canadienne de Science Economique, vol. 79(4), pages 523-562, Décembre.
    111. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    112. 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.
    113. 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.
    114. 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).
    115. 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.
    116. Eran Guse & M. C. Sunny Wong, 2022. "Communication and Learning: The Bilateral Information Transmission in the Cobweb Model," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 693-723, August.
    117. 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.
    118. 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).
    119. Casari, Marco, 2008. "Markets in equilibrium with firms out of equilibrium: A simulation study," Journal of Economic Behavior & Organization, Elsevier, vol. 65(2), pages 261-276, February.
    120. Dan Farhat, 2012. "Artificial Neural Networks and Aggregate Consumption Patterns in New Zealand," Working Papers 1205, University of Otago, Department of Economics, revised Dec 2012.
    121. Alemdar, Nedim M. & Ozyildirim, Suheyla, 1998. "A genetic game of trade, growth and externalities," Journal of Economic Dynamics and Control, Elsevier, vol. 22(6), pages 811-832, June.
    122. 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.
    123. 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.
    124. 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.
    125. 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.
    126. Balmann, Alfons & Kataria, Karin & Musshoff, Oliver, 2013. "Investment reluctance in supply chains: An agent-based real options approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 3(2A), pages 1-10.
    127. 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.
    128. Jie-Shin Lin, 2005. "An Analysis on Simulation Models of Competing Parties," Computing in Economics and Finance 2005 284, Society for Computational Economics.
    129. 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.
    130. 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.
    131. 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.
    132. 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).
    133. Dan Farhat, 2014. "Artificial Neural Networks and Aggregate Consumption Patterns in New Zealand:," Working Papers 1404, University of Otago, Department of Economics, revised Mar 2014.
    134. 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.
    135. Windrum, Paul & Birchenhall, Chris, 1998. "Is product life cycle theory a special case? Dominant designs and the emergence of market niches through coevolutionary-learning," Structural Change and Economic Dynamics, Elsevier, vol. 9(1), pages 109-134, March.
    136. 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.
    137. 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.
    138. 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).
    139. Thiele, Jan C, 2014. "R Marries NetLogo: Introduction to the RNetLogo Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i02).
    140. 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.
    141. Riechmann, Thomas, 2000. "A Model of Boundedly Rational Consumer Choice - An Agent Based Appraoch," Hannover Economic Papers (HEP) dp-232, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    142. Christoph Zott, 2002. "When Adaptation Fails," Journal of Conflict Resolution, Peace Science Society (International), vol. 46(6), pages 727-753, December.
    143. 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.
    144. 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.
    145. 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).
    146. 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.
    147. Orlando Gomes, 2004. "Optimal Monetary Policy under Heterogeneous Expectations," Macroeconomics 0409023, University Library of Munich, Germany.
    148. Sylvie Geisendorf, 2011. "Internal selection and market selection in economic Genetic Algorithms," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 817-841, December.
    149. 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.
    150. 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.
    151. 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.
    152. Benaroch, Michel, 1996. "Artificial intelligence in economics Truth and dare," Journal of Economic Dynamics and Control, Elsevier, vol. 20(4), pages 601-605, April.
    153. 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.
    154. 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.
    155. 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).

Chapters

  1. 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. Duffy, John Michael & Heinemann, Frank, 2016. "Central bank reputation, cheap talk and transparency as substitutes for commitment: Experimental evidence," SFB 649 Discussion Papers 2016-053, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

Books

    Sorry, no citations of books recorded.
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