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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..
    2. Xiaoxuan Hou & Jiayi Yuan & Joel Z. Leibo & Natasha Jaques, 2024. "InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma," Papers 2411.09856, arXiv.org, revised Feb 2025.

  3. 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 Auer & Giulio Cornelli & Jon Frost, 2020. "Rise of the central bank digital currencies: drivers, approaches and technologies," BIS Working Papers 880, Bank for International Settlements.
    3. 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)," Other publications TiSEM 98cf0741-8e78-4bba-a270-4, Tilburg University, School of Economics and Management.
    4. 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.
    5. Janet Hua Jiang & Cathy Zhang, 2017. "Competing Currencies in the Laboratory," Staff Working Papers 17-53, Bank of Canada.
    6. Dalton, Patricio & Pamuk, Haki & Ramrattan, R. & van Soest, Daan & Uras, Burak, 2018. "Payment Technology Adoption and Finance : A Randomized-Controlled-Trial with SMEs," Other publications TiSEM 82d89846-b515-41c7-b431-5, Tilburg University, School of Economics and Management.
    7. Jiang, Janet Hua & Zhang, Cathy, 2018. "Competing currencies in the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 253-280.
    8. 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.
    9. 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.
    10. 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.
    11. Janet Hua Jiang, 2020. "CBDC adoption and usage: some insights from field and laboratory experiments," Staff Analytical Notes 2020-12, Bank of Canada.

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

    Cited by:

    1. Jiang, Janet Hua & Zhang, Cathy, 2018. "Competing currencies in the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 253-280.
    2. 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.
    3. Kim Huynh & Gradon Nicholls & Oleksandr Shcherbakov, 2019. "Explaining the Interplay Between Merchant Acceptance and Consumer Adoption in Two-Sided Markets for Payment Methods," Staff Working Papers 19-32, Bank of Canada.

  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. Robert Kollmann, 2020. "Liquidity Traps in a Monetary Union," Working Papers ECARES 2020-34, ULB -- Universite Libre de Bruxelles.
    5. 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.
    6. Jarociński, Marek & Maćkowiak, Bartosz, 2018. "Monetary-fiscal interactions and the euro area's malaise," Journal of International Economics, Elsevier, vol. 112(C), pages 251-266.
    7. Kollmann, Robert, 2021. "Liquidity Traps in a World Economy," MPRA Paper 105113, University Library of Munich, Germany.
    8. Evans, George & Gibbs, Christopher & McGough, Bruce, 2021. "A Unified Model of Learning to Forecast," Working Papers 2021-10, University of Sydney, School of Economics.
    9. Kevin J. Lansing, 2019. "Endogenous Forecast Switching Near the Zero Lower Bound," Working Paper Series 2017-24, Federal Reserve Bank of San Francisco.
    10. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    11. Gilles Dufrénot & Meryem Rhouzlane, 2018. "Secular Stagnation: New Challenges for the Industrialized Countries in the 21st Century," Working Papers halshs-01821669, HAL.
    12. 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.
    13. Maksim Isakin & Phuong V. Ngo, 2022. "Multiplicity in New Keynesian Models," Open Economies Review, Springer, vol. 33(3), pages 505-521, July.
    14. Lucio Gobbi & Ronny Mazzocchi & Roberto Tamborini, 2018. "Monetary policy, de-anchoring of inflation expectations, and the 'new normal'," DEM Working Papers 2018/04, Department of Economics and Management.
    15. 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).
    16. Chattopadhyay, Siddhartha & Ghosh, Taniya, 2020. "Taylor Rule implementation of the optimal policy at the zero lower bound: Does the cost channel matter?," Economic Modelling, Elsevier, vol. 89(C), pages 351-366.

  7. 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. 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.
    2. Cavalli, F. & Chen, H.-J. & Li, M.-C. & Naimzada, A. & Pecora, N., 2023. "Heterogeneous expectations and equilibria selection in an evolutionary overlapping generations model," Journal of Mathematical Economics, Elsevier, vol. 104(C).
    3. Salle, Isabelle L., 2023. "What to target? Insights from a lab experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 514-533.
    4. 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.
    5. 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).
    6. 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.
    7. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    8. Zhao, Dongxu & Li, Kai, 2022. "Bounded rationality, adaptive behaviour, and asset prices," International Review of Financial Analysis, Elsevier, vol. 80(C).
    9. 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.
    10. 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.
    11. Ahrens, Steffen & Lustenhouwer, Joep & Tettamanzi, Michele, 2023. "The Stabilizing Effects of Publishing Strategic Central Bank Projections," Macroeconomic Dynamics, Cambridge University Press, vol. 27(3), pages 826-868, April.
    12. Marx, Robert & Lehmann-Waffenschmidt, Marco, 2022. "The Keynesian beauty contest revisited," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 164-181.

  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. 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.
    3. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    4. Cars Hommes & Joep Lustenhouwer, 2019. "Inflation Targeting and Liquidity Traps Under Endogenous Credibility," Staff Working Papers 19-9, Bank of Canada.
    5. 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.
    6. Fatemeh Mokhtarzadeh & Luba Petersen, 2017. "Coordinating expectations through central bank projections," Discussion Papers dp17-03, Department of Economics, Simon Fraser University.
    7. 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.

  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., 2021. "Should regulators always be transparent? a bank run experiment," European Economic Review, Elsevier, vol. 136(C).
    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. G. Camera & M. Casari & S. Bortolotti, 2014. "An Experiment on Retail Payments Systems," Working Papers wp942, Dipartimento Scienze Economiche, Universita' di Bologna.
    5. 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).
    6. Jasmina Arifovic, 2019. "Evolution of sunspot like behavior in the agent based economies of bank runs," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 365-389, March.
    7. Bucher, Monika & Dietrich, Diemo & Tvede, Mich, 2018. "Coordination failures, bank runs and asset prices," Discussion Papers 39/2018, Deutsche Bundesbank.
    8. 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.
    9. 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.
    10. Konstantinos Georgalos & Indrajit Ray & Sonali SenGupta, 2020. "Nash versus coarse correlation," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1178-1204, December.
    11. 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.
    12. 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.
    13. 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.

  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. 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.
    5. 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.
    6. 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).
    7. Luba Petersen & Jasmina Arifovic, 2015. "Escaping Expectations-Driven Liquidity Traps: Experimental Evidence," Discussion Papers dp15-03, Department of Economics, Simon Fraser University.
    8. 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.
    9. Konstantinos Georgalos & Indrajit Ray & Sonali SenGupta, 2020. "Nash versus coarse correlation," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1178-1204, December.
    10. 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. Georgalos, Konstantinos & Ray, Indrajit & Gupta, Sonali Sen, 2019. "Nash vs. Coarse Correlation," Cardiff Economics Working Papers E2019/3, Cardiff University, Cardiff Business School, Economics Section.

  11. 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. 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.
    2. 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.
    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. 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.
    5. 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.
    6. 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).
    7. Sabiou M. Inoua & Vernon L. Smith, 2022. "Perishable Goods versus Re-tradable Assets: A Theoretical Reappraisal of a Fundamental Dichotomy," Working Papers 22-01, Chapman University, Economic Science Institute.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. Ruijgrok, Matthijs, 2012. "A single-item continuous double auction game," MPRA Paper 42086, University Library of Munich, Germany.
    13. 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.
    14. 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.
    15. Florian Hauser & Marco LiCalzi, 2011. "Learning to Trade in an Unbalanced Market," Lecture Notes in Economics and Mathematical Systems, in: Sjoukje Osinga & Gert Jan Hofstede & Tim Verwaart (ed.), Emergent Results of Artificial Economics, pages 65-76, Springer.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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).
    21. 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.

  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. Zhang, Huanren, 2018. "Errors can increase cooperation in finite populations," Games and Economic Behavior, Elsevier, vol. 107(C), pages 203-219.
    2. 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.
    3. 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.
    4. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    5. Jasmina Arifovic & Murat Yildizoglu, 2019. "Learning the Ramsey Outcome in a Kydland & Prescott Economy," Post-Print hal-03428629, HAL.
    6. 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.
    7. 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.
    8. Giovanni Di Bartolomeo & Enrico Saltari & Willi Semmler, 2022. "The effects of political short-termism on transitions induced by pollution regulations," Working Papers in Public Economics 230, Department of Economics and Law, Sapienza University of Roma.
    9. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    10. Mauro Napoletano, 2018. "A short walk on the wild side : agent based models and their implications for macroeconomic analysis," SciencePo Working papers Main hal-03443471, HAL.
    11. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models," Post-Print hal-03461262, HAL.
    12. 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.
    13. 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.
    14. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," EconomiX Working Papers 2012-17, University of Paris Nanterre, EconomiX.
    15. 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.
    16. Jean-Philippe Bouchaud & Stanislao Gualdi & Marco Tarzia & Francesco Zamponi, 2018. "Optimal inflation target: insights from an agent-based model," Post-Print hal-01768441, HAL.
    17. Jaylson Jair da Silveira & Gilberto Tadeu Lima, 2012. "Conquering Credibility for Monetary Policy under Sticky Confidence," Working Papers, Department of Economics 2012_09, University of São Paulo (FEA-USP), revised 22 Jun 2015.
    18. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    19. 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).
    20. Feldman, Todd, 2018. "Unwinding ZIRP: A simulation analysis," Finance Research Letters, Elsevier, vol. 24(C), pages 278-288.
    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. Salle, Isabelle & Yildizoglu, Murat & Zumpe, Martin & Sénégas, Marc-Alexandre, 2017. "Coordination through social learning in a general equilibrium model," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 64-82.
    2. 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.
    3. Luba Petersen & Jasmina Arifovic, 2015. "Escaping Expectations-Driven Liquidity Traps: Experimental Evidence," Discussion Papers dp15-03, Department of Economics, Simon Fraser University.
    4. Chernomaz, K. & Goertz, J.M.M., 2023. "(A)symmetric equilibria and adaptive learning dynamics in small-committee voting," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).

  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. Salle, Isabelle & Yildizoglu, Murat & Zumpe, Martin & Sénégas, Marc-Alexandre, 2017. "Coordination through social learning in a general equilibrium model," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 64-82.
    2. 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.
    3. 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).
    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.
    5. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
    6. 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.
    7. Isabelle Salle & Murat Yildizoglu & Marc-Alexandre Sénégas, 2012. "Inflation targeting in a learning economy: an ABM perspective," Post-Print hal-00798167, HAL.
    8. Sylvain Barde & Sander van Der Hoog, 2017. "An empirical validation protocol for large-scale agent-based models," SciencePo Working papers Main hal-03458672, HAL.
    9. 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.
    10. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    11. Grimaud, Alex, 2021. "Precautionary saving and un-anchored expectations," MPRA Paper 108931, University Library of Munich, Germany.
    12. 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.
    13. Cars Hommes & Tomasz Makarewicz & Domenico Massaro & Tom Smits, 2017. "Genetic algorithm learning in a New Keynesian macroeconomic setup," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1133-1155, November.
    14. Isabelle Salle & Pascal Seppecher, 2016. "Social Learning about Consumption," Post-Print hal-01110653, HAL.
    15. Gasteiger, Emanuel, 2018. "Do Heterogeneous Expectations Constitute A Challenge For Policy Interaction?," Macroeconomic Dynamics, Cambridge University Press, vol. 22(8), pages 2107-2140, December.
    16. 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.
    17. Agliari, A. & Massaro, D. & Pecora, N. & Spelta, A., 2014. "Inflation Targeting, Recursive Inattentiveness and Heterogeneous Beliefs," CeNDEF Working Papers 14-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    18. Georges, Christophre, 2008. "Staggered updating in an artificial financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2809-2825, September.
    19. 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.
    20. Pascal Seppecher & Isabelle Salle & Dany Lang, 2016. "Is the market really a good teacher ?," Post-Print hal-01314335, HAL.
    21. Orlando Gomes, 2008. "Stability under Learning: the Endogenous Growth Problem," Working Papers Series 1 ercwp1708, ISCTE-IUL, Business Research Unit (BRU-IUL).
    22. 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.
    23. Mikhail Anufriev & Cars Hommes & Tomasz Makarewicz, 2019. "Simple Forecasting Heuristics that Make us Smart: Evidence from Different Market Experiments," Journal of the European Economic Association, European Economic Association, vol. 17(5), pages 1538-1584.
    24. 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.
    25. 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.
    26. Jia, Chengcheng & Wu, Jing Cynthia, 2023. "Average inflation targeting: Time inconsistency and ambiguous communication," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 69-86.
    27. 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.
    28. Vicente da Gama Machado, 2012. "Monetary Policy, Asset Prices and Adaptive Learning," Working Papers Series 274, Central Bank of Brazil, Research Department.
    29. Lucio Gobbi & Ronny Mazzocchi & Roberto Tamborini, 2018. "Monetary policy, de-anchoring of inflation expectations, and the 'new normal'," DEM Working Papers 2018/04, Department of Economics and Management.
    30. 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.
    31. 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.
    32. 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.
    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. 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.
    3. Marco Casari, 2004. "Can Genetic Algorithms Explain Experimental Anomalies?," Computational Economics, Springer;Society for Computational Economics, vol. 24(3), pages 257-275, March.
    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. Michael Maschek, 2010. "Intelligent Mutation Rate Control in an Economic Application of Genetic Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 35(1), pages 25-49, January.
    2. Shu-Heng Chen & Chung-Ching Tai, 2006. "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.
    3. 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.
    4. 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.

  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. 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).
    3. 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.
    4. 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).

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

    Cited by:

    1. 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.
    2. Tesfatsion, Leigh, 2003. "Agent-Based Computational Economics," ISU General Staff Papers 200301010800001248, Iowa State University, Department of Economics.
    3. James Bullard & John Duffy, 2010. "Using genetic algorithms to model the evolution of heterogenous beliefs," Levine's Working Paper Archive 550, David K. Levine.
    4. 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.
    5. Jie-Shin Lin, 2005. "Learning in a Network Economy," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 59-74, February.
    6. 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.
    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. David Goldbaum, 2016. "Conformity and Influence," Working Paper Series 35, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    3. 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).
    4. Mikhail Anufriev & Kirill Borissov & Mikhail Pakhnin, 2021. "Dissonance Minimization and Conversation in Social Networks," CESifo Working Paper Series 9433, CESifo.
    5. Gustavo Adolfo Caballero Orozco, 2016. "Luck and Effort: Learning about Income from Friends and Neighbors," 2016 Papers pca706, Job Market Papers.
    6. 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.
    7. 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.
    8. Ascensión Andina-Díaz & José A. García-Martínez & Antonio Parravano, 2017. "The market for scoops: A dynamic approach," Working Papers 2017-03, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.
    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. Yaroslav Rosokha & Xinxin Lyu & Denis Tverskoi & Sergey Gavrilets, 2024. "Cooperation under the Shadow of Political Inequality," Purdue University Economics Working Papers 1350, Purdue University, Department of Economics.
    2. 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.
    3. Marcos Cardozo & Yaroslav Rosokha & Cathy Zhang, 2024. "On the Emergence of International Currencies: An Experimental Approach," Purdue University Economics Working Papers 1351, Purdue University, Department of Economics.

  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. Adamantios Ntakaris & Gbenga Ibikunle, 2024. "Minimal Batch Adaptive Learning Policy Engine for Real-Time Mid-Price Forecasting in High-Frequency Trading," Papers 2412.19372, arXiv.org, revised Dec 2024.
    3. He, Xue-Zhong & Lin, Shen, 2022. "Reinforcement Learning Equilibrium in Limit Order Markets," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    4. Breckenfelder, Johannes, 2024. "Competition among high-frequency traders and market quality," Journal of Economic Dynamics and Control, Elsevier, vol. 166(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).
    7. Carè, Rosella & Cumming, Douglas, 2024. "Technology and automation in financial trading: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 71(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. 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.
    3. Arifovic, Jasmina & de Jong, Johan & Kopányi-Peuker, Anita, 2024. "Bank choice, bank runs, and coordination in the presence of two banks," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 392-410.
    4. Chernomaz, K. & Goertz, J.M.M., 2023. "(A)symmetric equilibria and adaptive learning dynamics in small-committee voting," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).

  5. 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. Friedman, Dan & Rabanal, Jean Paul & Rud, Olga A & Zhao, Shuchen, 2021. "On the empirical relevance of correlated equilibrium," UiS Working Papers in Economics and Finance 2021/2, University of Stavanger.
    2. 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.
    3. Abraham Aldama & Daniel Draganoff & Gantavya Pahwa, 2024. "An experiment in the role of identity in fostering coordination," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 10(2), pages 294-309, December.
    4. 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.
    5. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    6. Anufriev, Mikhail & Arifovic, Jasmina & Ledyard, John & Panchenko, Valentyn, 2022. "The role of information in a continuous double auction: An experiment and learning model," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    7. Forges, Françoise & Ray, Indrajit, 2024. "“Subjectivity and correlation in randomized strategies”: Back to the roots," Journal of Mathematical Economics, Elsevier, vol. 114(C).
    8. 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).
    9. 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. 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.
    11. 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.
    12. 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.
    13. 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).
    14. 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.
    15. 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.

  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. Giovanni Dosi & Andrea Roventini, 2019. "More is different ... and complex! the case for agent-based macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 1-37, March.
    4. Arifovic, Jasmina & de Jong, Johan & Kopányi-Peuker, Anita, 2024. "Bank choice, bank runs, and coordination in the presence of two banks," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 392-410.
    5. 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).

  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. Chakravarty, Surajeet & Choo, Lawrence & Fonseca, Miguel A. & Kaplan, Todd R., 2021. "Should regulators always be transparent? a bank run experiment," European Economic Review, Elsevier, vol. 136(C).
    2. 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. 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. Guy Aridor & Rava Azeredo da Silveira & Michael Woodford, 2024. "Information-Constrained Coordination of Economic Behavior," CESifo Working Paper Series 10935, CESifo.
    7. Kets, Willemien & Kager, Wouter & Sandroni, Alvaro, 2021. "The Value of a Coordination Game," SocArXiv ymzrd, Center for Open Science.
    8. 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.
    9. 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.
    10. 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.
    11. Arifovic, Jasmina & de Jong, Johan & Kopányi-Peuker, Anita, 2024. "Bank choice, bank runs, and coordination in the presence of two banks," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 392-410.

  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. 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.
    3. He, Simin & Wu, Jiabin, 2018. "Compromise and Coordination: An Experimental Study," MPRA Paper 84713, University Library of Munich, Germany.
    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.
    5. Cars Hommes & Stefanie J. Huber & Daria Minina & Isabelle Salle, 2024. "Learning in a Complex World Insights from an OLG Lab Experiment," ECONtribute Discussion Papers Series 283, University of Bonn and University of Cologne, Germany.
    6. Zhao, Shuchen, 2021. "Taking turns in continuous time," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 257-279.
    7. Sheryl Ball & Chetan Dave & Stefan Dodds, 2023. "Enumerating rights: more is not always better," Public Choice, Springer, vol. 196(3), pages 403-425, September.
    8. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    9. 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).
    10. 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.
    11. Gabriele Camera & Alessandro Gioffré, 2024. "Cooperation in Temporary Partnerships," Working Papers 24-07, Chapman University, Economic Science Institute.
    12. 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).

  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. John Duffy & Daniela Puzzello, 2019. "The Friedman Rule in the Laboratory," 2019 Meeting Papers 541, Society for Economic Dynamics.
    2. Camille Cornand & Paul Hubert, 2020. "On the external validity of experimental inflation forecasts," SciencePo Working papers Main hal-02894262, HAL.
    3. 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.
    4. Kopanyi-Peuker, Anita & Weber, Matthias, 2018. "Experience Does not Eliminate Bubbles: Experimental Evidence," SocArXiv ecj7q, Center for Open Science.
    5. Janet Hua Jiang & Daniela Puzzello & Cathy Zhang, 2023. "Inflation, Output, and Welfare in the Laboratory," Staff Working Papers 23-11, Bank of Canada.
    6. Salle, Isabelle L., 2023. "What to target? Insights from a lab experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 514-533.
    7. Ahrens, Steffen & Lustenhouwer, Joep & Tettamanzi, Michele, 2017. "The Stabilizing Role of Forward Guidance: A Macro Experiment," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168063, Verein für Socialpolitik / German Economic Association.
    8. Catullo, Ermanno & Gallegati, Mauro & Russo, Alberto, 2022. "Forecasting in a complex environment: Machine learning sales expectations in a stock flow consistent agent-based simulation model," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    9. 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.
    10. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
    11. 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).
    12. 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.
    13. 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.
    14. Camille Cornand & Maria Alejandra Erazo Diaz & Adam Zylbersztejn, 2023. "Trading and Cognition in Asset Markets: An Eye-tracking Experiment," Working Papers hal-04074298, HAL.
    15. 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.
    16. 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.
    17. 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.
    18. Kryvtsov, Oleksiy & Petersen, Luba, 2021. "Central bank communication that works: Lessons from lab experiments," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 760-780.
    19. 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.
    20. 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.
    21. Camille Cornand & Frank Heinemann, 2019. "Experiments on macroeconomics: methods and applications," Post-Print halshs-01902045, HAL.
    22. Camille Cornand & Cheick Kader M'Baye, 2016. "Band or Point Inflation Targeting? An Experimental Approach," Working Papers halshs-01313095, HAL.
    23. 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.
    24. Fatemeh Mokhtarzadeh & Luba Petersen, 2021. "Coordinating expectations through central bank projections," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 883-918, September.
    25. 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.
    26. 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.
    27. Ahrens, Steffen & Lustenhouwer, Joep & Tettamanzi, Michele, 2023. "The Stabilizing Effects of Publishing Strategic Central Bank Projections," Macroeconomic Dynamics, Cambridge University Press, vol. 27(3), pages 826-868, April.
    28. 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.
    29. 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.
    30. 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.
    31. Ryan Rholes & Luba Petersen, 2020. "Should central banks communicate uncertainty in their projections?," Discussion Papers dp20-01, Department of Economics, Simon Fraser University.
    32. 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).
    33. 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.
    34. John Duffy, 2022. "Why macroeconomics needs experimental evidence," The Japanese Economic Review, Springer, vol. 73(1), pages 5-29, January.
    35. 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.

  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. Gergely Horváth & Hubert János Kiss, 2016. "Correlated Observations, the Law of Small Numbers and Bank Runs," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-29, April.
    3. Alfonso Rosa García & Hubert Janos Kiss & Ismael Rodríguez Lara, 2009. "Do social networks prevent bank runs?," Working Papers. Serie AD 2009-25, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    4. 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.
    5. 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..
    6. John Duffy & Aikaterini Karadimitropoulou & Melanie Parravano, 2019. "Financial Contagion in the Laboratory: Does Network Structure Matter?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(5), pages 1097-1136, August.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Brown, Martin & Trautmann, Stefan T. & Vlahu, Razvan, 2014. "Understanding bank-run contagion," Working Paper Series 1711, European Central Bank.
    12. Guy Aridor & Rava Azeredo da Silveira & Michael Woodford, 2024. "Information-Constrained Coordination of Economic Behavior," CESifo Working Paper Series 10935, CESifo.
    13. 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.
    14. 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.
    15. Stephane Verani & Borghan Narajabad & Nathan Foley-Fisher, 2016. "Self-fulfilling Runs: Evidence from the U.S. Life Insurance Industry," 2016 Meeting Papers 414, Society for Economic Dynamics.
    16. 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.
    17. 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).
    18. G. Camera & M. Casari & S. Bortolotti, 2014. "An Experiment on Retail Payments Systems," Working Papers wp942, Dipartimento Scienze Economiche, Universita' di Bologna.
    19. Jasmina Arifovic & Janet Hua Jiang, 2014. "Do Sunspots Matter? Evidence from an Experimental Study of Bank Runs," Staff Working Papers 14-12, Bank of Canada.
    20. 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.
    21. 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.
    22. 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).
    23. Luba Petersen & Jasmina Arifovic, 2015. "Escaping Expectations-Driven Liquidity Traps: Experimental Evidence," Discussion Papers dp15-03, Department of Economics, Simon Fraser University.
    24. 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.
    25. Arifovic, Jasmina & de Jong, Johan & Kopányi-Peuker, Anita, 2024. "Bank choice, bank runs, and coordination in the presence of two banks," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 392-410.
    26. Bucher, Monika & Dietrich, Diemo & Tvede, Mich, 2018. "Coordination failures, bank runs and asset prices," Discussion Papers 39/2018, Deutsche Bundesbank.
    27. 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.
    28. 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.
    29. Fernando Martin & Aleksander Berentsen & David Andolfatto, 2016. "Financial Fragility in Monetary Economies," 2016 Meeting Papers 1626, Society for Economic Dynamics.
    30. 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.
    31. Shakina, Ekaterina & Angerer, Martin, 2018. "Coordination and communication during bank runs," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 115-130.
    32. 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.
    33. Oana Peia & Radu Vranceanu, 2017. "Experimental evidence on bank runs under partial deposit insurance," Working Papers hal-01510692, HAL.
    34. 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.
    35. Martin Dufwenberg, 2014. "Banking on Experiments?," Working Papers 534, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    36. 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.
    37. Ivan Vassilyev, 2024. "Bank Runs: Regulation Vs. Coordination Problem," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 18(1), pages 119-128.
    38. 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).
    39. 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.
    40. 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.
    41. 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.
    42. 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.
    43. Ettore Panetti, 2016. "Bank Runs: Theories and Policy Applications," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    44. 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. Kei Tsutsui & Daniel Zizzo, 2014. "Group status, minorities and trust," Experimental Economics, Springer;Economic Science Association, vol. 17(2), pages 215-244, June.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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).
    10. 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.
    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. 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.
    3. 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.
    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. 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.
    6. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," GREDEG Working Papers 2015-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Baader, Malte & Gächter, Simon & Lee, Kyeongtae & Sefton, Martin, 2022. "Social Preferences and the Variability of Conditional Cooperation," IZA Discussion Papers 15523, Institute of Labor Economics (IZA).
    12. John J Nay & Yevgeniy Vorobeychik, 2016. "Predicting Human Cooperation," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-19, May.
    13. Dutcher, E. Glenn & Salmon, Timothy C. & Saral, Krista J., 2015. "Is "Real" Effort More Real?," MPRA Paper 68394, University Library of Munich, Germany.
    14. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    15. 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.
    16. 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.
    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. 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.
    19. John J. Nay & Yevgeniy Vorobeychik, 2016. "Predicting Human Cooperation," Papers 1601.07792, arXiv.org, revised Apr 2016.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. Gabriele Camera & Alessandro Gioffré, 2024. "Cooperation in Temporary Partnerships," Working Papers 24-07, Chapman University, Economic Science Institute.
    26. 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.
    27. Krasteva, Silvana & Saboury, Piruz, 2021. "Informative fundraising: The signaling value of seed money and matching gifts," Journal of Public Economics, Elsevier, vol. 203(C).
    28. 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.
    29. 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.
    30. Jasmina Arifovic & John Ledyard, 2018. "Learning to alternate," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 692-721, September.
    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. 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.
    3. 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.
    4. 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).
    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. Yaroslav Rosokha & Xinxin Lyu & Denis Tverskoi & Sergey Gavrilets, 2024. "Cooperation under the Shadow of Political Inequality," Purdue University Economics Working Papers 1350, Purdue University, Department of Economics.
    2. 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.
    3. 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.
    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.
    5. 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).
    6. 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.
    7. Vinícius Ferraz & Thomas Pitz, 2024. "Analyzing the Impact of Strategic Behavior in an Evolutionary Learning Model Using a Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 437-475, February.
    8. 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.
    9. Dietrichson, Jens, 2013. "Coordination Incentives, Performance Measurement and Resource Allocation in Public Sector Organizations," Working Papers 2013:26, Lund University, Department of Economics.
    10. 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.
    11. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    12. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    13. 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).
    14. Michiel Leur & Mikhail Anufriev, 2018. "Timing under individual evolutionary learning in a continuous double auction," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 609-631, August.
    15. Arifovic, Jasmina & de Jong, Johan & Kopányi-Peuker, Anita, 2024. "Bank choice, bank runs, and coordination in the presence of two banks," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 392-410.
    16. Vessela Daskalova & Nicolaas J. Vriend, 2021. "Learning Frames," Working Papers 202118, School of Economics, University College Dublin.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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).
    23. 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).
    24. , J. & ,, 2012. "Designing stable mechanisms for economic environments," Theoretical Economics, Econometric Society, vol. 7(3), September.
    25. 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.
    26. 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.
    27. 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.
    28. Jasmina Arifovic & John Ledyard, 2018. "Learning to alternate," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 692-721, September.
    29. 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, 2011. "Learning about learning in games through experimental control of strategic interdependence," Working Papers 1103, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 28 Apr 2011.
    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. 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.
    2. 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.
    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.
    4. 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.
    5. 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.
    6. 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.
    7. Heinrich, Timo & Seifert, Matthias & Then, Franziska, 2020. "Near-losses in insurance markets: An experiment," Economics Letters, Elsevier, vol. 186(C).
    8. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    9. 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).
    10. Jasmina Arifovic, 2019. "Evolution of sunspot like behavior in the agent based economies of bank runs," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 365-389, March.
    11. 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.
    12. Arifovic, Jasmina & de Jong, Johan & Kopányi-Peuker, Anita, 2024. "Bank choice, bank runs, and coordination in the presence of two banks," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 392-410.
    13. 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).
    14. 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.
    15. 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).
    16. 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.
    17. 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.
    18. 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.
    19. 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).
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. Jasmina Arifovic & John Ledyard, 2018. "Learning to alternate," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 692-721, September.
    25. Alejandro Lee-Penagos, 2016. "Modelling Contributions in Public Good Games with Punishment," Discussion Papers 2016-15, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.

  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. 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.
    2. Ioannou, Christos A. & Romero, Julian, 2014. "A generalized approach to belief learning in repeated games," Games and Economic Behavior, Elsevier, vol. 87(C), pages 178-203.
    3. 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.
    4. Hanaki, Nobuyuki & Ishikawa, Ryuichiro & Akiyama, Eizo, 2009. "Learning games," Journal of Economic Dynamics and Control, Elsevier, vol. 33(10), pages 1739-1756, October.
    5. Nobuyuki Hanaki & Rajiv Sethi & Ido Erev & Alexander Peterhansl, 2002. "Learning Strategies," Game Theory and Information 0211004, University Library of Munich, Germany.
    6. 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.
    7. Ido Erev & Eyal Ert & Alvin E. Roth, 2010. "A Choice Prediction Competition for Market Entry Games: An Introduction," Games, MDPI, vol. 1(2), pages 1-20, May.
    8. Christos A. Ioannou & Julian Romero, 2012. "Strategic Learning With Finite Automata Via The EWA-Lite Model," Purdue University Economics Working Papers 1269, Purdue University, Department of Economics.
    9. Nobuyuki Hanaki, 2005. "Individual and Social Learning," Computational Economics, Springer;Society for Computational Economics, vol. 26(3), pages 31-50, November.
    10. Doğan, Gönül, 2018. "Collusion in a buyer–seller network formation game," Journal of Economic Behavior & Organization, Elsevier, vol. 155(C), pages 445-457.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Alan Mehlenbacher, 2007. "Multiagent System Platform for Auction Simulations," Department Discussion Papers 0706, Department of Economics, University of Victoria.
    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. Thomas Vallée & Murat Yıldızoğlu, 2013. "Can They Beat the Cournot Equilibrium? Learning with Memory and Convergence to Equilibria in a Cournot Oligopoly," Computational Economics, Springer;Society for Computational Economics, vol. 41(4), pages 493-516, April.
    2. Thomas Vallée & Murat Yildizoglu, 2007. "Convergence in Finite Cournot Oligopoly with Social and Individual Learning," Post-Print hal-00293948, HAL.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Junyi Xu, 2021. "Reinforcement Learning in a Cournot Oligopoly Model," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1001-1024, December.
    14. Kshitija Taywade & Brent Harrison & Adib Bagh, 2022. "Modelling Cournot Games as Multi-agent Multi-armed Bandits," Papers 2201.01182, arXiv.org.
    15. 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.
    16. 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).
    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. 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. 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).
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. Jasmina Arifovic & Murat Yildizoglu, 2019. "Learning the Ramsey Outcome in a Kydland & Prescott Economy," Post-Print hal-03428629, HAL.
    8. 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.
    9. 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.
    10. 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.
    11. Graubner, Marten, 2011. "The Spatial Agent-based Competition Model (SpAbCoM)," IAMO Discussion Papers 109915, Institute of Agricultural Development in Transition Economies (IAMO).
    12. 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.
    13. 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.
    14. Ernst Fehr & Michael Powell & Tom Wilkening, 2014. "Handing Out Guns at a Knife Fight: Behavioral Limitations of Subgame-Perfect Implementation," CESifo Working Paper Series 4948, CESifo.
    15. 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.
    16. Dietrichson, Jens, 2013. "Coordination Incentives, Performance Measurement and Resource Allocation in Public Sector Organizations," Working Papers 2013:26, Lund University, Department of Economics.
    17. Arifovic, Jasmina & Duffy, John & Jiang, Janet Hua, 2023. "Adoption of a new payment method: Experimental evidence," European Economic Review, Elsevier, vol. 154(C).
    18. 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).
    19. 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.
    20. 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.
    21. 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.
    22. Yi-Chun Chen & Richard Holden & Takashi Kunimoto & Yifei Sun & Tom Wilkening, 2023. "Getting Dynamic Implementation to Work," Journal of Political Economy, University of Chicago Press, vol. 131(2), pages 285-387.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. Arifovic, Jasmina & Ledyard, John, 2007. "Call market book information and efficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 1971-2000, June.
    28. Jasmina Arifovic & Michael Maschek, 2006. "Revisiting Individual Evolutionary Learning in the Cobweb Model – An Illustration of the Virtual Spite-Effect," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 333-354, November.
    29. 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.
    30. 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.
    31. 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.
    32. Jasmina Arifovic & John Ledyard, 2018. "Learning to alternate," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 692-721, September.
    33. 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.
    34. Brenner, Thomas, 2006. "Agent Learning Representation: Advice on Modelling Economic Learning," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 18, pages 895-947, Elsevier.
    35. 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.
    36. Chernulich, Aleksei, 2021. "Modelling reference dependence for repeated choices: A horse race between models of normalisation," Journal of Economic Psychology, Elsevier, vol. 87(C).

  28. 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. 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.
    4. 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.
    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. Zhang, Huanren, 2018. "Errors can increase cooperation in finite populations," Games and Economic Behavior, Elsevier, vol. 107(C), pages 203-219.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Vilma Deltuvaitė & Svatopluk Kapounek & Petr Koráb, 2019. "Impact of Behavioural Attention on the Households Foreign Currency Savings as a Response to the External Macroeconomic Shocks," Prague Economic Papers, Prague University of Economics and Business, vol. 2019(2), pages 155-177.

  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. Morone, Andrea & Nuzzo, Simone, 2016. "Asset markets in the lab: A literature review," Kiel Working Papers 2060, Kiel Institute for the World Economy (IfW Kiel).
    3. Gagnon, Gregory, 2004. "Exchange rate fluctuations in an economy with noise traders," Journal of Macroeconomics, Elsevier, vol. 26(1), pages 45-63, March.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    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. Andrea Morone, 2002. "Financial Market in the Laboratory," Computing in Economics and Finance 2002 151, Society for Computational Economics.
    13. 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.
    14. Siddiqi, Hammad, 2007. "Rational Interacting Agents and Volatility Clustering: A New Approach," MPRA Paper 2984, University Library of Munich, Germany.
    15. Gaunersdorfer, A. & Hommes, C.H., 2000. "A Nonlinear Structural Model for Volatility Clustering," CeNDEF Working Papers 00-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    16. 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.
    17. Lux, Thomas, 2008. "Stochastic behavioral asset pricing models and the stylized facts," Kiel Working Papers 1426, Kiel Institute for the World Economy (IfW Kiel).
    18. 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.
    19. 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.
    20. Rui Carvalho, 2001. "The Dynamics of the Linear Random Farmer Model," Papers cond-mat/0107150, arXiv.org.
    21. 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.
    22. 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.
    23. Georges, Christophre, 2006. "Learning with misspecification in an artificial currency market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(1), pages 70-84, May.
    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. Salle, Isabelle & Yildizoglu, Murat & Zumpe, Martin & Sénégas, Marc-Alexandre, 2017. "Coordination through social learning in a general equilibrium model," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 64-82.
    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. 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.
    4. Isabelle Salle & Murat Yildizoglu & Marc-Alexandre Sénégas, 2012. "Inflation targeting in a learning economy: an ABM perspective," Post-Print hal-00798167, HAL.
    5. 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.
    6. Serguei Kaniovski, 2005. "Product differentiation and competitive selection," Journal of Evolutionary Economics, Springer, vol. 15(5), pages 567-580, November.
    7. Peter Howitt & Ömer Özak, 2009. "Adaptive Consumption Behavior," NBER Working Papers 15427, National Bureau of Economic Research, Inc.
    8. Isabelle Salle & Pascal Seppecher, 2016. "Social Learning about Consumption," Post-Print hal-01110653, HAL.
    9. 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.
    10. 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.
    11. Jasmina Arifovic & James B. Bullard & Olena Kostyshyna, 2007. "Social learning and monetary policy rules," Working Papers 2007-007, Federal Reserve Bank of St. Louis.
    12. Isabelle Salle & Marc-Alexandre Sénégas & Murat Yıldızoğlu, 2019. "How transparent about its inflation target should a central bank be?," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 391-427, March.
    13. 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.
    14. Haber Gottfried, 2008. "Monetary and Fiscal Policy Analysis With an Agent-Based Macroeconomic Model," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 276-295, April.
    15. Paul Shea, 2019. "The Macroeconomics of Pascal’s Wager," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 481-496, October.
    16. James B. Bullard, 2006. "The learnability criterion and monetary policy," Review, Federal Reserve Bank of St. Louis, vol. 88(May), pages 203-217.
    17. Pascal Seppecher & Isabelle Salle & Dany Lang, 2016. "Is the market really a good teacher ?," Post-Print hal-01314335, HAL.
    18. 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.
    19. John Ledyard & Jasmina Arifovic, 2003. "Computer Testbeds: The Dynamics of Groves-Ledyard Mechanisms," Computing in Economics and Finance 2003 244, Society for Computational Economics.
    20. 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.
    21. Adalbert Mayer, 2022. "An Agent-Based Macroeconomic Model with Endogenous Intertemporal Decision Rules," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(4), pages 548-579, October.
    22. Arifovic, Jasmina & Ledyard, John, 2011. "A behavioral model for mechanism design: Individual evolutionary learning," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 374-395, May.
    23. 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.

  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 & 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.
    3. Chryssi Giannitsarou, 2003. "Heterogeneous Learning," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(4), pages 885-906, October.
    4. Orlando Gomes, 2004. "Optimal Monetary Policy under Heterogeneous Expectations," Macroeconomics 0409023, University Library of Munich, Germany.
    5. Arifovic, Jasmina, 2001. "Evolutionary dynamics of currency substitution," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 395-417, March.

  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. James Bullard & John Duffy, 2010. "Using genetic algorithms to model the evolution of heterogenous beliefs," Levine's Working Paper Archive 550, David K. Levine.
    4. 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.
    5. Marcet, Albert & Nicolini, Juan Pablo, 1998. "Recurrent Hyperinflations and Learning," CEPR Discussion Papers 1875, C.E.P.R. Discussion Papers.
    6. 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.
    7. Lemin Wu & Rohan Dutta & David K Levine & Nicholas W Papageorge, 2014. "Entertaining Malthus: Bread, Circuses and Economic Growth," Levine's Bibliography 786969000000000853, UCLA Department of Economics.
    8. 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.
    9. Gary D. Hansen & Edward C. Prescott, 1999. "Malthus to Solow," Staff Report 257, Federal Reserve Bank of Minneapolis.
    10. 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.
    11. Emerson, Patrick M. & McGough, Bruce, 2011. "Learning about Education," IZA Discussion Papers 5756, Institute of Labor Economics (IZA).
    12. Marcet, Albert & Nicolini, Juan Pablo, 2005. "Money and prices in models of bounded rationality in high inflation economies," Working Paper Series 469, European Central Bank.
    13. 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.
    14. Paul Shea, 2019. "The Macroeconomics of Pascal’s Wager," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 481-496, October.
    15. Roger Koppl & Abigail Devereaux & Jim Herriot & Stuart Kauffman, 2018. "A Simple Combinatorial Model of World Economic History," Papers 1811.04502, arXiv.org.
    16. Orlando Gomes, 2008. "Stability under Learning: the Endogenous Growth Problem," Working Papers Series 1 ercwp1708, ISCTE-IUL, Business Research Unit (BRU-IUL).
    17. Jakob Grazzini, 2011. "Consistent Estimation of Agent Based Models," LABORatorio R. Revelli Working Papers Series 110, LABORatorio R. Revelli, Centre for Employment Studies.
    18. Sergey Slobodyan, 1999. "Sunspot Fluctuations: A Way Out of a Development Trap?," Computing in Economics and Finance 1999 922, Society for Computational Economics.
    19. 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.
    20. Christoph Zott, 2002. "When Adaptation Fails," Journal of Conflict Resolution, Peace Science Society (International), vol. 46(6), pages 727-753, December.
    21. 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.
    22. Grazzini Jakob, 2011. "Estimating Micromotives from Macrobehavior," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201111, University of Turin.
    23. 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.
    24. 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.
    25. 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.
    26. Hung Truong, 2024. "Binary or nonbinary? An evolutionary learning approach to gender identity," Papers 2412.10959, arXiv.org.
    27. 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.
    28. Arifovic, Jasmina, 2001. "Evolutionary dynamics of currency substitution," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 395-417, March.
    29. 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. 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.
    3. Te Bao & John Duffy & Cars Hommes, 2012. "Learning, Forecasting and Optimizing: An Experimental Study," Tinbergen Institute Discussion Papers 12-015/1, Tinbergen Institute.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Ding, Shuze & Puzzello, Daniela, 2020. "Legal restrictions and international currencies: An experimental approach," Journal of International Economics, Elsevier, vol. 126(C).
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    13. Baranowski, Ryan, 2015. "Adaptive learning and monetary exchange," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 1-18.
    14. 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.
    15. 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.
    16. Jie-Shin Lin, 2005. "Learning in a Network Economy," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 59-74, February.
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    18. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
    19. 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.
    20. Cars Hommes & Tomasz Makarewicz & Domenico Massaro & Tom Smits, 2017. "Genetic algorithm learning in a New Keynesian macroeconomic setup," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1133-1155, November.
    21. 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.
    22. Isabelle Salle & Pascal Seppecher, 2016. "Social Learning about Consumption," Post-Print hal-01110653, HAL.
    23. James B. Bullard & John Duffy, 1994. "A model of learning and emulation with artificial adaptive agents," Working Papers 1994-014, Federal Reserve Bank of St. Louis.
    24. 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.
    25. 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.
    26. Bullard, James & Duffy, John, 1998. "Learning And The Stability Of Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 2(1), pages 22-48, March.
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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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