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Te Bao

Citations

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

Working papers

  1. Fišar, Miloš & Greiner, Ben & Huber, Christoph & Katok, Elena & Ozkes, Ali & Collaboration, Management Science Reproducibility, 2023. "Reproducibility in Management Science," OSF Preprints mydzv, Center for Open Science.

    Cited by:

    1. Chai, Daniel & Ali, Searat & Brosnan, Mark & Hasso, Tim, 2024. "Understanding researchers' perceptions and experiences in finance research replication studies: A pre-registered report," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).

  2. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Yohanes E. Riyanto & Jiahua Zhu, 2022. "Predicting the unpredictable: New experimental evidence on forecasting random walks," ISER Discussion Paper 1181, Institute of Social and Economic Research, Osaka University.

    Cited by:

    1. Nobuyuki Hanaki & Bolin Mao & Tiffany Tsz Kwan Tse & Wenxin Zhou, 2024. "Valuing Algorithms Over Experts: Evidence from a Stock Price Forecasting Experiment," ISER Discussion Paper 1268, Institute of Social and Economic Research, Osaka University.
    2. Tiffany Tsz Kwan TSE & Nobuyuki HANAKI & Bolin MAO, 2022. "Beware the performance of an algorithm before relying on it: Evidence from a stock price forecasting experiment," ISER Discussion Paper 1194r, Institute of Social and Economic Research, Osaka University, revised Mar 2024.

  3. Mikhail Anufriev & Te Bao & Angela Sutan & Jan Tuinstra, 2018. "Fee Structure and Mutual Fund Choice: An Experiment," Working Paper Series 45, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Gui, Zhengqing & Huang, Yangguang & Zhao, Xiaojian, 2021. "Whom to educate? Financial literacy and investor awareness," China Economic Review, Elsevier, vol. 67(C).
    2. Bao, Te & Corgnet, Brice & Hanaki, Nobuyuki & Riyanto, Yohanes E. & Zhu, Jiahua, 2023. "Predicting the unpredictable: New experimental evidence on forecasting random walks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    3. Adriana Gabriela Breaban & Juan Carlos Matallín-Sáez & Iván Barreda-Tarrazona & Mª Rosario Balaguer-Franch, 2012. "The demand for structured products: an experimental approach," Working Papers 2012/15, Economics Department, Universitat Jaume I, Castellón (Spain).
    4. Adriana Breaban & Juan Carlos Matallín-Sáez & Iván Barreda-Tarrazona & Mª Rosario Balaguer-Franch, 2014. "Special Section: Experiments on Learning, Methods, and Voting," Pacific Economic Review, Wiley Blackwell, vol. 19(3), pages 332-354, August.
    5. Thorp, S. & Bateman, H. & Dobrescu, L.I. & Newell, B.R. & Ortmann, A., 2020. "Flicking the switch: Simplifying disclosure to improve retirement plan choices," Journal of Banking & Finance, Elsevier, vol. 121(C).
    6. Anufriev, M. & Tuinstra, J. & Bao, T., 2013. "Fund Choice Behavior and Estimation of Switching Models: An Experiment," CeNDEF Working Papers 13-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    7. Katarzyna Perez & £ukasz Szymczyk, 2022. "Actual rate of the management fee in mutual funds of different styles," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(4), pages 969-1014, December.
    8. Christopher P. Clifford & Jon A. Fulkerson & Russell Jame & Bradford D. Jordan, 2021. "Salience and Mutual Fund Investor Demand for Idiosyncratic Volatility," Management Science, INFORMS, vol. 67(8), pages 5234-5254, August.
    9. Duffy, John & Rabanal, Jean Paul & Rud, Olga A., 2021. "The impact of ETFs in secondary asset markets: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 674-696.
    10. Kopányi, Dávid & Rabanal, Jean Paul & Rud, Olga A. & Tuinstra, Jan, 2019. "Can competition between forecasters stabilize asset prices in learning to forecast experiments?," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    11. Breaban, A.G., 2014. "Behavior and asset markets : Individual decisions, emotions and fundamental value trajectories," Other publications TiSEM a20e6a40-f15e-4331-83cb-c, Tilburg University, School of Economics and Management.
    12. 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.
    13. Zhu, Jiahua & Bao, Te & Chia, Wai Mun, 2021. "Evolutionary selection of forecasting and quantity decision rules in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 363-404.
    14. Wang-Ly, Nathan & Bateman, Hazel & Dobrescu, Isabella & Newell, Ben R. & Thorp, Susan, 2022. "Defaults, disclosures, advice and calculators: One size does not fit all," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).

  4. Soetevent, Adriaan R. & Bao, Te & Schippers, Anouk L., 2016. "A commercial gift for charity," Research Report 16002-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

    Cited by:

    1. Owens, Mark F. & Rennhoff, Adam D. & Baum, Charles L., 2018. "Consumer demand for charitable purchases: Evidence from a field experiment on Girl Scout Cookie sales," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 47-63.
    2. Engelmann, Dirk & Friedrichsen, Jana & Kübler, Dorothea, 2018. "Fairness in markets and market experiments," Discussion Papers, Research Unit: Market Behavior SP II 2018-203, WZB Berlin Social Science Center.

  5. Mikhail Anufriev & Te Bao & Angela Sutan & Jan Tuinstra, 2015. "Fee structure, return chasing and mutual fund choice: an experiment," Working Paper Series 30, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Anufriev, Mikhail & Bao, Te & Tuinstra, Jan, 2016. "Microfoundations for switching behavior in heterogeneous agent models: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 129(C), pages 74-99.

  6. Hommes, C.H. & Bao, T., 2015. "When Speculators Meet Constructors: Positive and Negative Feedback in Experimental Housing Markets," CeNDEF Working Papers 15-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Bolt, W. & Demertzis, D. & Diks, C.G.H. & Van der Leij, M.J., 2014. "Identifying Booms and Busts in House Prices under Heterogeneous Expectations," CeNDEF Working Papers 14-13, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    2. de Jong, Johan & Sonnemans, Joep & Tuinstra, Jan, 2022. "The effect of futures markets on the stability of commodity prices," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 176-211.
    3. Bao, Te & Hennequin, Myrna & Hommes, Cars & Massaro, Domenico, 2020. "Coordination on bubbles in large-group asset pricing experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    4. Pavan, Marina & Barreda-Tarrazona, Iván, 2020. "Should I default on my mortgage even if I can pay? Experimental evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    5. Shahab Valaei Sharif & Dawn Cassandra Parker & Paul Waddell & Ted Tsiakopoulos, 2023. "Understanding the Effects of Market Volatility on Profitability Perceptions of Housing Market Developers," JRFM, MDPI, vol. 16(10), pages 1-34, October.
    6. Ling Zhang & Wenlong Bian & Hao Zhang, 2019. "Dissecting the myth of the house price in Chinese metropolises: allowing for behavioral heterogeneity among investors," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 721-740, December.
    7. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.

  7. Bao, T. & Ding, L., 2015. "Non-Recourse Mortgage and Housing Price Boom, Bust, and Rebound," CeNDEF Working Papers 15-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Marcus T. Allen & Justin D. Benefield & Christopher L. Cain & Norman Maynard, 2024. "Distressed Property Sales: Differences and Similarities Across Types of Distress," The Journal of Real Estate Finance and Economics, Springer, vol. 68(2), pages 318-353, February.
    2. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena, 2020. "Heuristic Switching Model and Exploration-Exploitation Algorithm to Describe Long-Run Expectations in LtFEs: a Comparison," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 623-658, October.
    3. Reed, Robert R. & LaRue, Amanda & Ume, Ejindu S., 2018. "Mortgage recourse provisions and housing prices," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 99-111.
    4. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena, 2018. "The term structure of cross-sectional dispersion of expectations in a Learning-to-Forecast Experiment," Working Papers 2018/02, Economics Department, Universitat Jaume I, Castellón (Spain).
    5. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena & Mauro Gallegati, 2020. "Long-run expectations in a learning-to-forecast experiment: a simulation approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 75-116, January.
    6. Simone Alfarano & Eva Camacho-Cuena & Annarita Colasante & Alba Ruiz-Buforn, 2024. "The effect of time-varying fundamentals in learning-to-forecast experiments," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(4), pages 619-647, October.
    7. Chen-Yin Lee & Pao-Huan Chen & Yen-Kuang Lin, 2021. "An Exploratory Study of the Association between Housing Price Trends and Antidepressant Use in Taiwan: A 10-Year Population-Based Study," IJERPH, MDPI, vol. 18(9), pages 1-17, April.
    8. Chenzi Yang & Fernando Moreira & Thomas Welsh Archibald, 2023. "Community banks' capital requirements and regional housing tenure," Australian Economic Papers, Wiley Blackwell, vol. 62(4), pages 723-746, December.

  8. Anufriev, M. & Bao, Te & Sutin, Angelina R. & Tuinstra, Jan, 2015. "Fee structure, return chasing and mutual fund choice," Research Report 15006-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

    Cited by:

    1. Anufriev, Mikhail & Bao, Te & Tuinstra, Jan, 2016. "Microfoundations for switching behavior in heterogeneous agent models: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 129(C), pages 74-99.

  9. Anufriev, M. & Bao, T. & Tuinstra, J., 2015. "Microfoundations for Switching Behavior in Heterogeneous Agent Models: An Experiment," CeNDEF Working Papers 15-09, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Roberto Veneziani & Luca Zamparelli & Reiner Franke & Frank Westerhoff, 2017. "Taking Stock: A Rigorous Modelling Of Animal Spirits In Macroeconomics," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1152-1182, December.
    2. Bao, Te & Corgnet, Brice & Hanaki, Nobuyuki & Riyanto, Yohanes E. & Zhu, Jiahua, 2023. "Predicting the unpredictable: New experimental evidence on forecasting random walks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    3. Yu Zhang & Weihong Huang, 2018. "Impact of strategy switching on wealth accumulation," Journal of Evolutionary Economics, Springer, vol. 28(4), pages 961-983, September.
    4. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Anufriev, Mikhail & Chernulich, Aleksei & Tuinstra, Jan, 2018. "A laboratory experiment on the heuristic switching model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 21-42.
    6. Noemi Schmitt & Frank Westerhoff, 2022. "Speculative housing markets and rent control: insights from nonlinear economic dynamics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 141-163, January.
    7. Thorp, S. & Bateman, H. & Dobrescu, L.I. & Newell, B.R. & Ortmann, A., 2020. "Flicking the switch: Simplifying disclosure to improve retirement plan choices," Journal of Banking & Finance, Elsevier, vol. 121(C).
    8. Kukacka, Jiri & Sacht, Stephen, 2023. "Estimation of heuristic switching in behavioral macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    9. 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.
    10. Galanis, Giorgos & Kollias, Iraklis & Leventidis, Ioanis & Lustenhouwer, Joep, 2022. "Generalizing Heuristic Switching Models," Working Papers 0715, University of Heidelberg, Department of Economics.
    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. Galanis, Giorgos & Kollias, Iraklis & Leventidis, Ioanis & Lustenhouwer, Joep, 2022. "Generalizing Heterogeneous Dynamic Heuristic Selection," CRETA Online Discussion Paper Series 73, Centre for Research in Economic Theory and its Applications CRETA.
    13. Mikhail Anufriev & Davide Radi & Fabio Tramontana, 2018. "Some reflections on past and future of nonlinear dynamics in economics and finance," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 91-118, November.
    14. Schmitt, Noemi & Schwartz, Ivonne & Westerhoff, Frank H., 2020. "Heterogeneous speculators and stock market dynamics: A simple agent-based computational model," BERG Working Paper Series 160, Bamberg University, Bamberg Economic Research Group.
    15. Duffy, John & Rabanal, Jean Paul & Rud, Olga A., 2021. "The impact of ETFs in secondary asset markets: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 674-696.
    16. Dieci, Roberto & Mignot, Sarah & Schmitt, Noemi & Westerhoff, Frank H., 2022. "Production delays, supply distortions and endogenous price dynamics," BERG Working Paper Series 182, Bamberg University, Bamberg Economic Research Group.
    17. Chernulich, Aleksei, 2021. "Modelling reference dependence for repeated choices: A horse race between models of normalisation," Journal of Economic Psychology, Elsevier, vol. 87(C).
    18. 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.
    19. 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.
    20. Mikhail Anufriev & Te Bao & Angela Sutan & Jan Tuinstra, 2018. "Fee Structure and Mutual Fund Choice: An Experiment," Working Paper Series 45, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

  10. 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.

    Cited by:

    1. Bao, Te & Hommes, Cars, 2019. "When speculators meet suppliers: Positive versus negative feedback in experimental housing markets," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    2. Treu, Johannes & Hartwig, Johannes, 2023. "Perceived Inflation in Germany in 2022," MPRA Paper 118403, University Library of Munich, Germany.
    3. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena, 2020. "Heuristic Switching Model and Exploration-Exploitation Algorithm to Describe Long-Run Expectations in LtFEs: a Comparison," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 623-658, October.
    4. Camille Cornand & Frank Heinemann, 2015. "Macro-expérimentation autour des fonctions des banques centrales," Revue française d'économie, Presses de Sciences-Po, vol. 0(2), pages 3-47.
    5. Kukacka, Jiri & Jang, Tae-Seok & Sacht, Stephen, 2018. "On the estimation of behavioral macroeconomic models via simulated maximum likelihood," Economics Working Papers 2018-11, Christian-Albrechts-University of Kiel, Department of Economics.
    6. Cornand, Camille & Heinemann, Frank, 2022. "Monetary policy obeying the Taylor principle turns prices into strategic substitutes," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1357-1371.
    7. Anette Borge & Gunnar Bårdsen & Junior Maih, 2019. "Expectations switching in a DSGE model for the UK," Working Paper Series 18119, Department of Economics, Norwegian University of Science and Technology.
    8. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena, 2018. "The term structure of cross-sectional dispersion of expectations in a Learning-to-Forecast Experiment," Working Papers 2018/02, Economics Department, Universitat Jaume I, Castellón (Spain).
    9. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena & Mauro Gallegati, 2020. "Long-run expectations in a learning-to-forecast experiment: a simulation approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 75-116, January.
    10. Bao, Te & Corgnet, Brice & Hanaki, Nobuyuki & Riyanto, Yohanes E. & Zhu, Jiahua, 2023. "Predicting the unpredictable: New experimental evidence on forecasting random walks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    11. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph Stiglitz & Tania Treibich, 2020. "Rational heuristics? Expectations and behaviors in evolving economies with heterogeneous interacting agents," SciencePo Working papers Main halshs-03046977, HAL.
    12. De Grauwe, Paul & Ji, Yuemei, 2022. "Trust and Monetary Policy," CEPR Discussion Papers 17087, C.E.P.R. Discussion Papers.
    13. Hommes, C.H. & Bao, T., 2015. "When Speculators Meet Constructors: Positive and Negative Feedback in Experimental Housing Markets," CeNDEF Working Papers 15-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    14. Jang, Tae-Seok & Sacht, Stephen, 2018. "Macroeconomic dynamics under bounded rationality: On the impact of consumers' forecast heuristics," Economics Working Papers 2018-10, Christian-Albrechts-University of Kiel, Department of Economics.
    15. Paul De Grauwe & Yuemei Ji, 2023. "On the use of current and forward-looking data in monetary policy: a behavioural macroeconomic approach," Oxford Economic Papers, Oxford University Press, vol. 75(2), pages 526-552.
    16. Cars Hommes & Domenico Massaro & Isabelle Salle, 2019. "Monetary And Fiscal Policy Design At The Zero Lower Bound: Evidence From The Lab," Economic Inquiry, Western Economic Association International, vol. 57(2), pages 1120-1140, April.
    17. Colasante, Annarita & Palestrini, Antonio & Russo, Alberto & Gallegati, Mauro, 2017. "Adaptive expectations versus rational expectations: Evidence from the lab," International Journal of Forecasting, Elsevier, vol. 33(4), pages 988-1006.
    18. Thesmar, David & Landier, Augustin & Ma, Yueran, 2017. "New Experimental Evidence on Expectations Formation," CEPR Discussion Papers 12527, C.E.P.R. Discussion Papers.
    19. Colasante, Annarita & Palestrini, Antonio & Russo, Alberto & Gallegati, Mauro, 2015. "Heterogeneous Adaptive Expectations and Coordination in a Learning-to-Forecast Experiment," MPRA Paper 66578, University Library of Munich, Germany.
    20. Mauro Napoletano, 2018. "A short walk on the wild side : agent based models and their implications for macroeconomic analysis," Post-Print hal-03443471, HAL.
    21. Philip A. Stork & Milan Vidojevic & Remco C. J. Zwinkels, 2021. "Behavioral heterogeneity in return expectations across equity style portfolios," International Review of Finance, International Review of Finance Ltd., vol. 21(4), pages 1225-1250, December.
    22. Luigi Mittone & Matteo Tomaselli, 2019. "Economic Growth and Public Debt: An Experimental Approach in Search of a Confidence Channel," DEM Working Papers 2019/18, Department of Economics and Management.
    23. Cars Hommes & Domenico Massaro & Matthias Weber, 2015. "Monetary Policy under Behavioral Expectations: Theory and Experiment," Tinbergen Institute Discussion Papers 15-087/II, Tinbergen Institute.
    24. Kukacka, Jiri & Sacht, Stephen, 2023. "Estimation of heuristic switching in behavioral macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    25. De Grauwe, Paul & Ji, Yuemei, 2020. "Structural reforms, animal spirits and monetary policies," LSE Research Online Documents on Economics 103502, London School of Economics and Political Science, LSE Library.
    26. Cars Hommes, 2017. "From self-fulfilling mistakes to behavioral learning equilibria," Tinbergen Institute Discussion Papers 17-018/II, Tinbergen Institute.
    27. Cortney S. Rodet & Andrew Smyth, 2020. "Competitive blind spots and the cyclicality of investment: Experimental evidence," Southern Economic Journal, John Wiley & Sons, vol. 87(1), pages 274-315, July.
    28. Kopanyi-Peuker, Anita & Weber, Matthias, 2018. "Experience Does not Eliminate Bubbles: Experimental Evidence," SocArXiv ecj7q, Center for Open Science.
    29. 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).
    30. Makrelov, Konstantin & Arndt, Channing & Davies, Rob & Harris, Laurence, 2020. "Balance sheet changes and the impact of financial sector risk-taking on fiscal multipliers," Economic Modelling, Elsevier, vol. 87(C), pages 322-343.
    31. Konstantin Makrelov & Rob Davies & Laurence Harris, 2021. "The impact of capital flow reversal shocks in South Africa: a stock- and-flow-consistent analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 35(3-4), pages 475-501, July.
    32. Saskia ter Ellen & Cars H. Hommes & Remco C.J. Zwinkels, 2017. "Comparing behavioural heterogeneity across asset classes," Working Paper 2017/12, Norges Bank.
    33. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    34. Bao, Te & Füllbrunn, Sascha & Pei, Jiaoying & Zong, Jichuan, 2024. "Reading the market? Expectation coordination and theory of mind," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 510-527.
    35. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    36. Annarita COLASANTE & Antonio PALESTRINI & Alberto RUSSO & Mauro GALLEGATI, 2015. "Adaptive Expectations with Correction Bias: Evidence from the lab," Working Papers 409, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    37. Holt, Charles A. & Porzio, Megan & Song, Michelle Yingze, 2017. "Price bubbles, gender, and expectations in experimental asset markets," European Economic Review, Elsevier, vol. 100(C), pages 72-94.
    38. 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.
    39. Treu, Johannes & Hartwig, Johannes, 2022. "Messung der gefühlten Inflation in Deutschland," IU Discussion Papers - Business & Management 12 (November 2022), IU International University of Applied Sciences.
    40. Hanna Freudenreich & Sindu W. Kebede, 2022. "Experience of shocks, household wealth and expectation formation: Evidence from smallholder farmers in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 53(5), pages 756-774, September.
    41. Florian Peters & Simas Kucinskas, 2018. "Measuring Biases in Expectation Formation," Tinbergen Institute Discussion Papers 18-058/IV, Tinbergen Institute.
    42. John Duffy, 2022. "Why macroeconomics needs experimental evidence," The Japanese Economic Review, Springer, vol. 73(1), pages 5-29, January.
    43. 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.
    44. Olivér Kovács, 2019. "Grounding Complexity Economics in Framing Modern Governance," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 69(4), pages 571-594, December.
    45. 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.
    46. 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.
    47. Domenico Colucci & Matteo Vigna & Vincenzo Valori, 2022. "Large and uncertain heterogeneity of expectations: stability of equilibrium from a policy maker standpoint," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 319-348, January.
    48. Toshiaki Akinaga & Takanori Kudo & Kenju Akai, 2023. "Interaction between price and expectations in the jar-guessing experimental market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 491-532, July.
    49. Saskia ter Ellen & Willem F. C. Verschoor, 2018. "Heterogeneous Beliefs and Asset Price Dynamics: A Survey of Recent Evidence," Dynamic Modeling and Econometrics in Economics and Finance, in: Fredj Jawadi (ed.), Uncertainty, Expectations and Asset Price Dynamics, pages 53-79, Springer.
    50. Donald Coletti, 2023. "A Blueprint for the Fourth Generation of Bank of Canada Projection and Policy Analysis Models," Discussion Papers 2023-23, Bank of Canada.
    51. Hommes, Cars, 2018. "Carl’s nonlinear cobweb," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 7-20.

  11. Bao, T. & Hommes, C.H. & Makarewicz, T.A., 2014. "Bubble Formation and (In)efficient Markets in Learning-to-Forecast and -Optimize Experiments," CeNDEF Working Papers 14-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Bao, Te & Hommes, Cars, 2019. "When speculators meet suppliers: Positive versus negative feedback in experimental housing markets," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    2. 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.
    3. Biondo, Alessio Emanuele, 2017. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics Discussion Papers 2017-104, Kiel Institute for the World Economy (IfW Kiel).
    4. Fatemeh Mokhtarzadeh & Luba Petersen, 2021. "Coordinating expectations through central bank projections," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 883-918, September.
    5. Yingyi Hu, 2019. "Short-horizon market efficiency, order imbalance, and speculative trading: evidence from the Chinese stock market," Annals of Operations Research, Springer, vol. 281(1), pages 253-274, October.
    6. Cars Hommes & Anita Kopányi-Peuker & Joep Sonnemans, 2021. "Bubbles, crashes and information contagion in large-group asset market experiments," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 414-433, June.
    7. Zhengyang Bao & Andreas Leibbrandt & ple391, 2019. "Thar she resurges: The case of assets that lack positive fundamental value," Monash Economics Working Papers 12-19, Monash University, Department of Economics.
    8. Agliari, Anna & Hommes, Cars H. & Pecora, Nicolò, 2016. "Path dependent coordination of expectations in asset pricing experiments: A behavioral explanation," Journal of Economic Behavior & Organization, Elsevier, vol. 121(C), pages 15-28.
    9. Bao, Te & Corgnet, Brice & Hanaki, Nobuyuki & Riyanto, Yohanes E. & Zhu, Jiahua, 2023. "Predicting the unpredictable: New experimental evidence on forecasting random walks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    10. Aragón, Nicolás & Roulund, Rasmus Pank, 2020. "Confidence and decision-making in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 688-718.
    11. 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.
    12. Yang, Xiaolan & Gao, Mei & Wu, Yun & Jin, Xuejun, 2018. "Performance evaluation and herd behavior in a laboratory financial market," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 45-54.
    13. Jerome L Kreuser & Didier Sornette, 2017. "Super-Exponential RE Bubble Model with Efficient Crashes," Swiss Finance Institute Research Paper Series 17-33, Swiss Finance Institute.
    14. 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.
    15. Hommes, C.H. & Bao, T., 2015. "When Speculators Meet Constructors: Positive and Negative Feedback in Experimental Housing Markets," CeNDEF Working Papers 15-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    16. Anufriev, Mikhail & Bao, Te & Tuinstra, Jan, 2016. "Microfoundations for switching behavior in heterogeneous agent models: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 129(C), pages 74-99.
    17. Bao, Te & Hennequin, Myrna & Hommes, Cars & Massaro, Domenico, 2020. "Coordination on bubbles in large-group asset pricing experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    18. Colasante, Annarita & Palestrini, Antonio & Russo, Alberto & Gallegati, Mauro, 2017. "Adaptive expectations versus rational expectations: Evidence from the lab," International Journal of Forecasting, Elsevier, vol. 33(4), pages 988-1006.
    19. Nobuyuki Hanaki & Eizo Akiyama & Ryuichiro Ishikawa, 2017. "Effects of Eliciting Long-run Price Forecasts on Market Dynamics in Asset Market Experiments," GREDEG Working Papers 2017-26, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    20. Zhang, Mu & Zheng, Jie, 2017. "A robust reference-dependent model for speculative bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 137(C), pages 232-258.
    21. Bazzana, Davide & Colturato, Michele & Savona, Roberto, 2023. "Learning about unprecedented events: Agent-based modelling and the stock market impact of COVID-19," Finance Research Letters, Elsevier, vol. 56(C).
    22. Legaki, Nikoletta-Zampeta & Karpouzis, Kostas & Assimakopoulos, Vassilios & Hamari, Juho, 2021. "Gamification to avoid cognitive biases: An experiment of gamifying a forecasting course," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    23. Makarewicz, Tomasz, 2019. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," BERG Working Paper Series 141, Bamberg University, Bamberg Economic Research Group.
    24. Bao, Te & Zong, Jichuan, 2019. "The impact of interest rate policy on individual expectations and asset bubbles in experimental markets," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    25. Gong, Qingbin & Diao, Xundi, 2023. "The impacts of investor network and herd behavior on market stability: Social learning, network structure, and heterogeneity," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1388-1398.
    26. Nobuyuki Hanaki & Eizo Akiyama & Ryuichiro Ishikawa, 2018. "Effects of different ways of incentivizing price forecasts on market dynamics and individual decisions in asset market experiments," Post-Print hal-01712305, HAL.
    27. Kopanyi-Peuker, Anita & Weber, Matthias, 2018. "Experience Does not Eliminate Bubbles: Experimental Evidence," SocArXiv ecj7q, Center for Open Science.
    28. 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).
    29. 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.
    30. Matthias Weber & John Duffy & Arthur Schram, 2019. "Credit Default Swap Regulation in Experimental Bond Markets," Tinbergen Institute Discussion Papers 19-039/I, Tinbergen Institute.
    31. Haeussler, Stefan & Stefan, Matthias & Schneckenreither, Manuel & Onay, Anita, 2021. "The lead time updating trap: Analyzing human behavior in capacitated supply chains," International Journal of Production Economics, Elsevier, vol. 234(C).
    32. Schmitt, Noemi & Westerhoff, Frank, 2021. "Trend followers, contrarians and fundamentalists: Explaining the dynamics of financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 117-136.
    33. Nobuyuki Hanaki & Eizo Akiyama & Ryuichiro Ishikawa, 2016. "A Methodological Note on Eliciting Price Forecasts in Asset Market Experiments," GREDEG Working Papers 2016-02, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    34. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    35. 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.
    36. 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).
    37. 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.
    38. Steiger, Sören & Pelster, Matthias, 2020. "Social interactions and asset pricing bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 503-522.
    39. Biondo, Alessio Emanuele, 2018. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-21.
    40. Dávid Kopányi & Jean Paul Rabanal & Olga A. Rud & Jan Tuinstra, 2019. "Can successful forecasters help stabilize asset prices in a learning to forecast experiment?," Working Papers 140, Peruvian Economic Association.
    41. Kopányi, Dávid & Rabanal, Jean Paul & Rud, Olga A. & Tuinstra, Jan, 2019. "Can competition between forecasters stabilize asset prices in learning to forecast experiments?," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    42. Florian Peters & Simas Kucinskas, 2018. "Measuring Biases in Expectation Formation," Tinbergen Institute Discussion Papers 18-058/IV, Tinbergen Institute.
    43. Canepa, Alessandra & Alqaralleh, Huthaifa, 2019. "Housing Market Cycles in Large Urban Areas," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201903, University of Turin.
    44. Jiaoying Pei, 2024. "Minimizing Errors or Surprises?," Papers 2404.08908, arXiv.org, revised Feb 2025.
    45. Alessandra Canepa & Emilio Zanetti Chini & Huthaifa Alqaralleh, 2020. "Global Cities and Local Housing Market Cycles," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 671-697, November.
    46. 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.
    47. 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).
    48. Zhu, Jiahua & Bao, Te & Chia, Wai Mun, 2021. "Evolutionary selection of forecasting and quantity decision rules in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 363-404.
    49. Toshiaki Akinaga & Takanori Kudo & Kenju Akai, 2023. "Interaction between price and expectations in the jar-guessing experimental market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 491-532, July.
    50. Bao, Zhengyang & Kalaycı, Kenan & Leibbrandt, Andreas & Oyarzun, Carlos, 2020. "Do regulations work? A comprehensive analysis of price limits and trading restrictions in experimental asset markets with deterministic and stochastic fundamental values," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 59-84.

  12. Bao, T. & Duffy, J., 2014. "Adaptive vs. eductive learning," Research Report 14002-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

    Cited by:

    1. 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.

  13. John Duffy & Te Bao, 2013. "Adaptive vs. Eductive Learning: Theory and Evidence," Working Paper 518, Department of Economics, University of Pittsburgh, revised Dec 2013.

    Cited by:

  14. Anufriev, M. & Tuinstra, J. & Bao, T., 2013. "Fund Choice Behavior and Estimation of Switching Models: An Experiment," CeNDEF Working Papers 13-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Anufriev, Mikhail & Kopányi, Dávid & Tuinstra, Jan, 2013. "Learning cycles in Bertrand competition with differentiated commodities and competing learning rules," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2562-2581.
    2. Schmitt, Noemi & Westerhoff, Frank, 2015. "Managing rational routes to randomness," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 157-173.

  15. Bao, T. & Duffy, J. & Hommes, C.H., 2011. "Learning, Forecasting and Optimizing: an Experimental Study," CeNDEF Working Papers 11-08, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Bao, Te & Hommes, Cars, 2019. "When speculators meet suppliers: Positive versus negative feedback in experimental housing markets," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    2. Cars Hommes & Stefanie J. Huber & Daria Minina & Isabelle Salle, 2024. "Learning in a Complex World Insights from an OLG Lab Experiment," ECONtribute Discussion Papers Series 283, University of Bonn and University of Cologne, Germany.
    3. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena, 2020. "Heuristic Switching Model and Exploration-Exploitation Algorithm to Describe Long-Run Expectations in LtFEs: a Comparison," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 623-658, October.
    4. Hirota, Shinichi & Huber, Juergen & Stöckl, Thomas & Sunder, Shyam, 2022. "Speculation, money supply and price indeterminacy in financial markets: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1275-1296.
    5. Nobuyuki Hanaki & Eizo Akiyama & Ryuichiro Ishikawa, 2018. "Behavioral uncertainty and the dynamics of traders' confidence in their price forecasts," Post-Print hal-01712301, HAL.
    6. Cornand, Camille & Hubert, Paul, 2020. "On the external validity of experimental inflation forecasts: A comparison with five categories of field expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    7. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena, 2018. "The term structure of cross-sectional dispersion of expectations in a Learning-to-Forecast Experiment," Working Papers 2018/02, Economics Department, Universitat Jaume I, Castellón (Spain).
    8. 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.
    9. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena & Mauro Gallegati, 2020. "Long-run expectations in a learning-to-forecast experiment: a simulation approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 75-116, January.
    10. Pfajfar, Damjan & Žakelj, Blaž, 2014. "Experimental evidence on inflation expectation formation," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 147-168.
    11. Isabelle Salle & Murat Yildizoglu & Martin Zumpe & Marc-Alexandre Sénégas, 2017. "Coordination through social learning in a general equilibrium model," Post-Print hal-01848386, HAL.
    12. Leonid A. Serkov, 2023. "Effect of sticky Wages on the Behavior of Economic Agents with Heterogeneous Expectations," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(2), pages 450-473.
    13. Camille Cornand & Paul Hubert, 2020. "On the external validity of experimental inflation forecasts," SciencePo Working papers Main hal-02894262, HAL.
    14. Simone Alfarano & Eva Camacho-Cuena & Annarita Colasante & Alba Ruiz-Buforn, 2024. "The effect of time-varying fundamentals in learning-to-forecast experiments," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(4), pages 619-647, October.
    15. 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.
    16. 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.
    17. 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.
    18. Berardi, Michele, 2021. "Beliefs asymmetry and price stability in a cobweb model," MPRA Paper 106920, University Library of Munich, Germany.
    19. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    20. Backhaus, Teresa & Huck, Steffen & Leutgeb, Johannes Josef & Oprea, Ryan, 2022. "Learning through period and physical time," Discussion Papers, Research Unit: Economics of Change SP II 2022-302, WZB Berlin Social Science Center.
    21. Colasante, Annarita & Palestrini, Antonio & Russo, Alberto & Gallegati, Mauro, 2017. "Adaptive expectations versus rational expectations: Evidence from the lab," International Journal of Forecasting, Elsevier, vol. 33(4), pages 988-1006.
    22. Nobuyuki Hanaki & Eizo Akiyama & Ryuichiro Ishikawa, 2017. "Effects of Eliciting Long-run Price Forecasts on Market Dynamics in Asset Market Experiments," GREDEG Working Papers 2017-26, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    23. Te Bao & Cars Hommes & Tomasz Makarewicz, 2015. "Bubble Formation and (In)Efficient Markets in Learning-to-Forecast and -optimise Experiments," Tinbergen Institute Discussion Papers 15-107/II, Tinbergen Institute.
    24. Oleksiy Kryvtsov & Luba Petersen, 2019. "Central Bank Communication That Works: Lessons from Lab Experiments," Staff Working Papers 19-21, Bank of Canada.
    25. Wolfgang Luhan & Johann Scharler, 2013. "Monetary Policy, Inflation Illusion and the Taylor Principle: An Experimental Study," Working Papers 2013-03, Faculty of Economics and Statistics, Universität Innsbruck.
    26. Cimadomo, Jacopo & Claeys, Peter & Poplawski-Ribeiro, Marcos, 2016. "How do experts forecast sovereign spreads?," European Economic Review, Elsevier, vol. 87(C), pages 216-235.
    27. John Duffy & Te Bao, 2013. "Adaptive vs. Eductive Learning: Theory and Evidence," Working Paper 518, Department of Economics, University of Pittsburgh, revised Dec 2013.
    28. Michael W. M. Roos & Wolfgang J. Luhan, 2013. "Information, Learning and Expectations in an Experimental Model Economy," Economica, London School of Economics and Political Science, vol. 80(319), pages 513-531, July.
    29. Irenaeus Wolff & Dominik Bauer, 2018. "Elusive Beliefs: Why Uncertainty Leads to Stochastic Choice and Errors," TWI Research Paper Series 111, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    30. 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).
    31. 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.
    32. Muhammed Bulutay & Camille Cornand & Adam Zylbersztejn, 2022. "Learning to deal with repeated shocks under strategic complementarity: An experiment," Post-Print halshs-02895753, HAL.
    33. Bao, Te & Zong, Jichuan, 2019. "The impact of interest rate policy on individual expectations and asset bubbles in experimental markets," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    34. Nobuyuki Hanaki & Eizo Akiyama & Ryuichiro Ishikawa, 2018. "Effects of different ways of incentivizing price forecasts on market dynamics and individual decisions in asset market experiments," Post-Print hal-01712305, HAL.
    35. Pignataro, Giuseppe & Raggi, Davide & Pancotto, Francesca, 2024. "On the role of fundamentals, private signals, and beauty contests to predict exchange rates," International Journal of Forecasting, Elsevier, vol. 40(2), pages 687-705.
    36. Guidon Fenig & Luba Petersen, 2017. "Distributing scarce jobs and output: experimental evidence on the dynamic effects of rationing," Experimental Economics, Springer;Economic Science Association, vol. 20(3), pages 707-735, September.
    37. Kopanyi-Peuker, Anita & Weber, Matthias, 2018. "Experience Does not Eliminate Bubbles: Experimental Evidence," SocArXiv ecj7q, Center for Open Science.
    38. Shinichi Hirota & Juergen Huber & Thomas Stock & Shyam Sunder, 2018. "Speculation and Price Indeterminacy in Financial Markets: An Experimental Study," Cowles Foundation Discussion Papers 2134, Cowles Foundation for Research in Economics, Yale University.
    39. 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).
    40. 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.
    41. Camille Cornand & Frank Heinemann, 2019. "Experiments in macroeconomics: methods and applications," Post-Print halshs-01809937, HAL.
    42. Mazzarisi, Piero & Lillo, Fabrizio & Marmi, Stefano, 2019. "When panic makes you blind: A chaotic route to systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 176-199.
    43. Bao, Te & Duffy, John, 2016. "Adaptive versus eductive learning: Theory and evidence," European Economic Review, Elsevier, vol. 83(C), pages 64-89.
    44. Nobuyuki Hanaki & Eizo Akiyama & Ryuichiro Ishikawa, 2016. "A Methodological Note on Eliciting Price Forecasts in Asset Market Experiments," GREDEG Working Papers 2016-02, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    45. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    46. 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.
    47. Bao, Te & Füllbrunn, Sascha & Pei, Jiaoying & Zong, Jichuan, 2024. "Reading the market? Expectation coordination and theory of mind," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 510-527.
    48. Steiger, Sören & Pelster, Matthias, 2020. "Social interactions and asset pricing bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 503-522.
    49. Miller, Logan & Rholes, Ryan, 2023. "Joint vs. Individual performance in a dynamic choice problem," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 897-934.
    50. 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.
    51. Bao, T. & Duffy, J., 2014. "Adaptive vs. eductive learning," Research Report 14002-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    52. Luba Petersen & Guidon Fenig, 2015. "Distributing scarce jobs and output: Experimental evidence on the effects of rationing," Discussion Papers dp15-02, Department of Economics, Simon Fraser University.
    53. Dávid Kopányi & Jean Paul Rabanal & Olga A. Rud & Jan Tuinstra, 2019. "Can successful forecasters help stabilize asset prices in a learning to forecast experiment?," Working Papers 140, Peruvian Economic Association.
    54. Piero Mazzarisi & Fabrizio Lillo & Stefano Marmi, 2018. "When panic makes you blind: a chaotic route to systemic risk," Papers 1805.00785, arXiv.org.
    55. Simone Berardi & Gabriele Tedeschi, 2016. "How banks’ strategies influence financial cycles: An approach to identifying micro behavior," Working Papers 2016/24, Economics Department, Universitat Jaume I, Castellón (Spain).
    56. Ryan Rholes & Luba Petersen, 2020. "Should central banks communicate uncertainty in their projections?," Discussion Papers dp20-01, Department of Economics, Simon Fraser University.
    57. Kopányi, Dávid & Rabanal, Jean Paul & Rud, Olga A. & Tuinstra, Jan, 2019. "Can competition between forecasters stabilize asset prices in learning to forecast experiments?," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    58. Damjan Pfajfar & Blaž Žakelj, 2015. "Inflation Expectations and Monetary Policy Design: Evidence from the Laboratory," Finance and Economics Discussion Series 2015-45, Board of Governors of the Federal Reserve System (U.S.).
    59. Jiaoying Pei, 2024. "Minimizing Errors or Surprises?," Papers 2404.08908, arXiv.org, revised Feb 2025.
    60. 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.
    61. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
    62. 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).
    63. Zhu, Jiahua & Bao, Te & Chia, Wai Mun, 2021. "Evolutionary selection of forecasting and quantity decision rules in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 363-404.

  16. Bao, T. & Hommes, C.H. & Sonnemans, J. & Tuinstra, J., 2010. "Individual Expectations, Limited Rationality and Aggregate Outcomes," CeNDEF Working Papers 10-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Hommes, C.H., 2013. "Reflexivity, Expectations Feedback and Almost Self-fulfilling Equilibria: Economic Theory, Empirical Evidence and Laboratory Experiments," CeNDEF Working Papers 13-19, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    2. Bao, Te & Hommes, Cars, 2019. "When speculators meet suppliers: Positive versus negative feedback in experimental housing markets," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    3. Evans, George & Gibbs, Christopher & McGough, Bruce, 2021. "A Unified Model of Learning to Forecast," Working Papers 2021-10, University of Sydney, School of Economics.
    4. 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.
    5. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena, 2020. "Heuristic Switching Model and Exploration-Exploitation Algorithm to Describe Long-Run Expectations in LtFEs: a Comparison," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 623-658, October.
    6. Nobuyuki Hanaki & Angela Sutan & Marc Willinger, 2016. "The strategic environment effect in beauty contest games," Working Papers halshs-01294915, HAL.
    7. Camille Cornand & Frank Heinemann, 2014. "Experiments on Monetary Policy and Central Banking," Research in Experimental Economics, in: Experiments in Macroeconomics, volume 17, pages 167-227, Emerald Group Publishing Limited.
    8. Camille Cornand & Frank Heinemann, 2015. "Macro-expérimentation autour des fonctions des banques centrales," Revue française d'économie, Presses de Sciences-Po, vol. 0(2), pages 3-47.
    9. Vivien Lespagnol & Juliette Rouchier, 2014. "Trading Volume and Market Efficiency: An Agent Based Model with Heterogenous Knowledge about Fundamentals," Working Papers halshs-00997573, HAL.
    10. Sonnemans, Joep & Tuinstra, Jan, 2010. "Positive expectations feedback experiments and number guessing games as models of financial markets," Journal of Economic Psychology, Elsevier, vol. 31(6), pages 964-984, December.
    11. Cornand, Camille & Heinemann, Frank, 2022. "Monetary policy obeying the Taylor principle turns prices into strategic substitutes," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1357-1371.
    12. Hirota, Shinichi & Huber, Juergen & Stöckl, Thomas & Sunder, Shyam, 2022. "Speculation, money supply and price indeterminacy in financial markets: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1275-1296.
    13. Eizo Akiyama & Nobuyuki Hanaki & Ryuichiro Ishikawa, 2013. "It is Not Just Confusion! Strategic Uncertainty in an Experimental Asset Market," AMSE Working Papers 1340, Aix-Marseille School of Economics, France, revised 08 Aug 2013.
    14. Assenza, T. & Heemeijer, P. & Hommes, C.H. & Massaro, D., 2014. "Managing Self-organization of Expectations through Monetary Policy: a Macro Experiment," CeNDEF Working Papers 14-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    15. Vivien Lespagnol & Juliette Rouchier, 2015. "What Is the Impact of Heterogeneous Knowledge About Fundamentals on Market Liquidity and Efficiency: An ABM Approach," Lecture Notes in Economics and Mathematical Systems, in: Frédéric Amblard & Francisco J. Miguel & Adrien Blanchet & Benoit Gaudou (ed.), Advances in Artificial Economics, edition 127, pages 105-117, Springer.
    16. Goodman, James, 2014. "Evidence for ecological learning and domain specificity in rational asset pricing and market efficiency," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 48(C), pages 27-39.
    17. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena & Mauro Gallegati, 2020. "Long-run expectations in a learning-to-forecast experiment: a simulation approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 75-116, January.
    18. Pfajfar, Damjan & Žakelj, Blaž, 2014. "Experimental evidence on inflation expectation formation," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 147-168.
    19. Agliari, Anna & Hommes, Cars H. & Pecora, Nicolò, 2016. "Path dependent coordination of expectations in asset pricing experiments: A behavioral explanation," Journal of Economic Behavior & Organization, Elsevier, vol. 121(C), pages 15-28.
    20. Simone Alfarano & Eva Camacho-Cuena & Annarita Colasante & Alba Ruiz-Buforn, 2024. "The effect of time-varying fundamentals in learning-to-forecast experiments," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(4), pages 619-647, October.
    21. 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.
    22. Tiziana Assenza & Peter Heemeijer & Cars Hommes & Domenico Massaro, 2013. "Individual Expectations and Aggregate Macro Behavior," Tinbergen Institute Discussion Papers 13-016/II, Tinbergen Institute.
    23. Nobuyuki Hanaki, 2019. "Cognitive ability and observed behavior in laboratory experiments: implications for macroeconomic theory," Post-Print halshs-02534868, HAL.
    24. Paolo Zeppini & Jeroen C.J.M. van den Bergh, 2023. "Does COVID-19 Help or Harm the Climate? Modelling Long-run Emissions under Climate and Stimulus Policies," GREDEG Working Papers 2023-09, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    25. Eizo Akiyama & Nobuyuki Hanaki & Ryuichiro Ishikawa, 2014. "How do experienced traders respond to inflows of inexperienced traders? An experimental analysis," Post-Print hal-01463903, HAL.
    26. Hommes, C.H. & Bao, T., 2015. "When Speculators Meet Constructors: Positive and Negative Feedback in Experimental Housing Markets," CeNDEF Working Papers 15-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    27. John C. Driscoll & Steinar Holden, 2014. "Behavioral Economics and Macroeconomic Models," Finance and Economics Discussion Series 2014-43, Board of Governors of the Federal Reserve System (U.S.).
    28. Eizo Akiyama & Nobuyuki Hanaki & Ryuichiro Ishikawa, 2012. "Effect of Uncertainty about Others' Rationality in Experimental Asset Markets: An Experimental Analysis," Working Papers halshs-00793613, HAL.
    29. Vivien Lespagnol & Juliette Rouchier, 2015. "Fair Price And Trading Price: An Abm Approach With Order-Placement Strategy And Misunderstanding Of Fundamental Value," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(05n06), pages 1-14, August.
    30. de Jong, Johan & Sonnemans, Joep & Tuinstra, Jan, 2022. "The effect of futures markets on the stability of commodity prices," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 176-211.
    31. Anufriev, Mikhail & Bao, Te & Tuinstra, Jan, 2016. "Microfoundations for switching behavior in heterogeneous agent models: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 129(C), pages 74-99.
    32. Bao, Te & Hennequin, Myrna & Hommes, Cars & Massaro, Domenico, 2020. "Coordination on bubbles in large-group asset pricing experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    33. Colasante, Annarita & Palestrini, Antonio & Russo, Alberto & Gallegati, Mauro, 2017. "Adaptive expectations versus rational expectations: Evidence from the lab," International Journal of Forecasting, Elsevier, vol. 33(4), pages 988-1006.
    34. Anna Agliari & Pasquale Commendatore & Ilaria Foroni & Ingrid Kubin, 2014. "Expectations and industry location: a discrete time dynamical analysis," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 37(1), pages 3-26, April.
    35. Nobuyuki Hanaki & Eizo Akiyama & Ryuichiro Ishikawa, 2017. "Effects of Eliciting Long-run Price Forecasts on Market Dynamics in Asset Market Experiments," GREDEG Working Papers 2017-26, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    36. Te Bao & Cars Hommes & Tomasz Makarewicz, 2015. "Bubble Formation and (In)Efficient Markets in Learning-to-Forecast and -optimise Experiments," Tinbergen Institute Discussion Papers 15-107/II, Tinbergen Institute.
    37. Cimadomo, Jacopo & Claeys, Peter & Poplawski-Ribeiro, Marcos, 2016. "How do experts forecast sovereign spreads?," European Economic Review, Elsevier, vol. 87(C), pages 216-235.
    38. John Duffy & Te Bao, 2013. "Adaptive vs. Eductive Learning: Theory and Evidence," Working Paper 518, Department of Economics, University of Pittsburgh, revised Dec 2013.
    39. Bousselmi, Wael & Sentis, Patrick & Willinger, Marc, 2019. "How do markets react to (un)expected fundamental value shocks? An experimental analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 90-113.
    40. Colasante, Annarita & Palestrini, Antonio & Russo, Alberto & Gallegati, Mauro, 2015. "Heterogeneous Adaptive Expectations and Coordination in a Learning-to-Forecast Experiment," MPRA Paper 66578, University Library of Munich, Germany.
    41. Makarewicz, Tomasz, 2019. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," BERG Working Paper Series 141, Bamberg University, Bamberg Economic Research Group.
    42. Michael W. M. Roos & Wolfgang J. Luhan, 2013. "Information, Learning and Expectations in an Experimental Model Economy," Economica, London School of Economics and Political Science, vol. 80(319), pages 513-531, July.
    43. Mikhail Anufriev & Te Bao & Angela Sutan & Jan Tuinstra, 2015. "Fee structure, return chasing and mutual fund choice: an experiment," Working Paper Series 30, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    44. Muhammed Bulutay & Camille Cornand & Adam Zylbersztejn, 2022. "Learning to deal with repeated shocks under strategic complementarity: An experiment," Post-Print halshs-02895753, HAL.
    45. Bao, Te & Zong, Jichuan, 2019. "The impact of interest rate policy on individual expectations and asset bubbles in experimental markets," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    46. Cars Hommes & Domenico Massaro & Matthias Weber, 2015. "Monetary Policy under Behavioral Expectations: Theory and Experiment," Tinbergen Institute Discussion Papers 15-087/II, Tinbergen Institute.
    47. Hommes, Cars H., 2014. "Behaviorally Rational Expectations and Almost Self-Fulfilling Equilibria," Review of Behavioral Economics, now publishers, vol. 1(1-2), pages 75-97, January.
    48. Oleksiy Kryvtsov & Luba Petersen, 2013. "Expectations and Monetary Policy: Experimental Evidence," Discussion Papers dp13-09, Department of Economics, Simon Fraser University.
    49. Tiziana Assenza & William A. Brock & Cars H. Hommes, 2017. "Animal Spirits, Heterogeneous Expectations, And The Amplification And Duration Of Crises," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 542-564, January.
    50. Nobuyuki Hanaki & Eizo Akiyama & Ryuichiro Ishikawa, 2018. "Effects of different ways of incentivizing price forecasts on market dynamics and individual decisions in asset market experiments," Post-Print hal-01712305, HAL.
    51. Galanis, Giorgos & Kollias, Iraklis & Leventidis, Ioanis & Lustenhouwer, Joep, 2022. "Generalizing Heuristic Switching Models," Working Papers 0715, University of Heidelberg, Department of Economics.
    52. 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.
    53. Pignataro, Giuseppe & Raggi, Davide & Pancotto, Francesca, 2024. "On the role of fundamentals, private signals, and beauty contests to predict exchange rates," International Journal of Forecasting, Elsevier, vol. 40(2), pages 687-705.
    54. Xu, Yingying & Chang, Hsu-Ling & Lobonţ, Oana-Ramona & Su, Chi-Wei, 2016. "Modeling heterogeneous inflation expectations: empirical evidence from demographic data?," Economic Modelling, Elsevier, vol. 57(C), pages 153-163.
    55. Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Post-Print hal-02084910, HAL.
    56. Te Bao & John Duffy & Cars Hommes, 2012. "Learning, Forecasting and Optimizing: An Experimental Study," Tinbergen Institute Discussion Papers 12-015/1, Tinbergen Institute.
    57. Shinichi Hirota & Juergen Huber & Thomas Stock & Shyam Sunder, 2018. "Speculation and Price Indeterminacy in Financial Markets: An Experimental Study," Cowles Foundation Discussion Papers 2134, Cowles Foundation for Research in Economics, Yale University.
    58. 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).
    59. Holmen, Martin & Kirchler, Michael & Kleinlercher, Daniel, 2014. "Do option-like incentives induce overvaluation? Evidence from experimental asset markets," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 179-194.
    60. Cooper, Kristen & Schneider, Henry & Waldman, Michael, 2021. "Limited rationality and the strategic environment: Further evidence from a pricing game," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    61. Dieci, Roberto & Schmitt, Noemi & Westerhoff, Frank H., 2018. "Interactions between stock, bond and housing markets," BERG Working Paper Series 133, Bamberg University, Bamberg Economic Research Group.
    62. 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.
    63. Mazzarisi, Piero & Lillo, Fabrizio & Marmi, Stefano, 2019. "When panic makes you blind: A chaotic route to systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 176-199.
    64. Bao, Te & Duffy, John, 2016. "Adaptive versus eductive learning: Theory and evidence," European Economic Review, Elsevier, vol. 83(C), pages 64-89.
    65. Nobuyuki Hanaki & Eizo Akiyama & Ryuichiro Ishikawa, 2016. "A Methodological Note on Eliciting Price Forecasts in Asset Market Experiments," GREDEG Working Papers 2016-02, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    66. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    67. Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 991-1020, April.
    68. Eizo Akiyama & Nobuyuki Hanaki & Ryuchiro Ishikawa, 2012. "Effect of uncertainty about others’ rationality in experimental asset markets," AMSE Working Papers 1234, Aix-Marseille School of Economics, France.
    69. Galanis, Giorgos & Kollias, Iraklis & Leventidis, Ioanis & Lustenhouwer, Joep, 2022. "Generalizing Heterogeneous Dynamic Heuristic Selection," CRETA Online Discussion Paper Series 73, Centre for Research in Economic Theory and its Applications CRETA.
    70. 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).
    71. 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.
    72. Choo, Lawrence, 2016. "Market competition for decision rights: An experiment based on the “Hat Puzzle Problem”," MPRA Paper 73408, University Library of Munich, Germany.
    73. Annarita COLASANTE & Antonio PALESTRINI & Alberto RUSSO & Mauro GALLEGATI, 2015. "Adaptive Expectations with Correction Bias: Evidence from the lab," Working Papers 409, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    74. Yingying Xu & Zhixin Liu & Xing Zhang, 2017. "Heterogeneous Or Homogeneous Inflation Expectation Formation Models: A Case Study Of Chinese Households And Financial Participants," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(04), pages 859-874, September.
    75. Dávid Kopányi & Jean Paul Rabanal & Olga A. Rud & Jan Tuinstra, 2019. "Can successful forecasters help stabilize asset prices in a learning to forecast experiment?," Working Papers 140, Peruvian Economic Association.
    76. Kopányi, Dávid & Rabanal, Jean Paul & Rud, Olga A. & Tuinstra, Jan, 2019. "Can competition between forecasters stabilize asset prices in learning to forecast experiments?," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    77. Cooper, Kristen B. & Schneider, Henry S. & Waldman, Michael, 2017. "Limited rationality and the strategic environment: Further theory and experimental evidence," Games and Economic Behavior, Elsevier, vol. 106(C), pages 188-208.
    78. Damjan Pfajfar & Blaž Žakelj, 2015. "Inflation Expectations and Monetary Policy Design: Evidence from the Laboratory," Finance and Economics Discussion Series 2015-45, Board of Governors of the Federal Reserve System (U.S.).
    79. Jiaoying Pei, 2024. "Minimizing Errors or Surprises?," Papers 2404.08908, arXiv.org, revised Feb 2025.
    80. 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.
    81. 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).
    82. Domenico Colucci & Matteo Vigna & Vincenzo Valori, 2022. "Large and uncertain heterogeneity of expectations: stability of equilibrium from a policy maker standpoint," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 319-348, January.
    83. Zhu, Jiahua & Bao, Te & Chia, Wai Mun, 2021. "Evolutionary selection of forecasting and quantity decision rules in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 363-404.
    84. Pete Wegier & Julia Spaniol, 2015. "The Effect of Time Pressure on Risky Financial Decisions from Description and Decisions from Experience," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-16, April.
    85. Toshiaki Akinaga & Takanori Kudo & Kenju Akai, 2023. "Interaction between price and expectations in the jar-guessing experimental market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 491-532, July.
    86. Mikhail Anufriev & Cars Hommes, 2012. "Evolutionary Selection of Individual Expectations and Aggregate Outcomes in Asset Pricing Experiments," American Economic Journal: Microeconomics, American Economic Association, vol. 4(4), pages 35-64, November.
    87. Fu, Jianhua & Zhang, Yongqing, 2020. "Valuation of travel time reliability: Considering the traveler's adaptive expectation with an indifference band on daily trip duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 337-353.

Articles

  1. Bao, Te & Yuan, Yuemei & Luo, Weidong & Xu, Bin, 2024. "Unlucky to have brothers: Sibling sex composition and girls’ locus of control," World Development, Elsevier, vol. 173(C).

    Cited by:

    1. Liu, Yan & Chen, Minjie & Yu, Jianyu & Wang, Xiaobing, 2024. "Being a happy farmer: Technology adoption and subjective well-being," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 385-405.

  2. Bao, Te & Corgnet, Brice & Hanaki, Nobuyuki & Riyanto, Yohanes E. & Zhu, Jiahua, 2023. "Predicting the unpredictable: New experimental evidence on forecasting random walks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    See citations under working paper version above.
  3. Te Bao & Yun Dai & Yanxiang Feng & Shuai Liu & Ruixin Wang, 2023. "Trade liberalisation and trade and capital flows: Evidence from China pilot free trade zones," The World Economy, Wiley Blackwell, vol. 46(5), pages 1408-1422, May.

    Cited by:

    1. Xu, Yang & Huang, Wei & Zhang, Cherry Yi, 2024. "Navigating international competition with ESG: Insights from the US-China trade war," Research in International Business and Finance, Elsevier, vol. 70(PB).

  4. Bao, Te & Ma, Mengzhong & Wen, Yonggang, 2023. "Herding in the non-fungible token (NFT) market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).

    Cited by:

    1. Zhang, Xu & Naeem, Muhammad Abubakr & Du, Yuting & Rauf, Abdul, 2024. "Examining the bidirectional ripple effects in the NFT markets: Risky center or hedging center?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    2. Chong Guan & Ding Ding & Jing Ren & Jiancang Guo, 2024. "Unveiling the aesthetic “wow factor”: The role of aesthetic incongruity and image quality in NFT art valuation with computer vision," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-16, December.
    3. Guangsheng Yu & Qin Wang & Caijun Sun & Lam Duc Nguyen & H. M. N. Dilum Bandara & Shiping Chen, 2024. "Maximizing NFT Incentives: References Make You Rich," Papers 2402.06459, arXiv.org.

  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).

    Cited by:

    1. Bao, Te & Corgnet, Brice & Hanaki, Nobuyuki & Riyanto, Yohanes E. & Zhu, Jiahua, 2023. "Predicting the unpredictable: New experimental evidence on forecasting random walks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    2. Simone Alfarano & Eva Camacho-Cuena & Annarita Colasante & Alba Ruiz-Buforn, 2024. "The effect of time-varying fundamentals in learning-to-forecast experiments," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(4), pages 619-647, October.
    3. Sarah Mignot & Fabio Tramontana & Frank Westerhoff, 2024. "Complex dynamics in a nonlinear duopoly model with heuristic expectation formation and learning behavior," Annals of Operations Research, Springer, vol. 337(3), pages 809-834, June.
    4. Mignot, Sarah & Pellizzari, Paolo & Westerhoff, Frank H., 2024. "Fake news and asset price dynamics," BERG Working Paper Series 192, Bamberg University, Bamberg Economic Research Group.
    5. de Jong, Johan & Sonnemans, Joep & Tuinstra, Jan, 2022. "The effect of futures markets on the stability of commodity prices," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 176-211.
    6. Plotkina, Daria & Hoffmann, Arvid O.I. & Roger, Patrick & D’Hondt, Catherine, 2024. "Gender vs. personality: The role of masculinity in explaining cognitive style," LIDAM Reprints LFIN 2024010, Université catholique de Louvain, Louvain Finance (LFIN).
    7. Leonid Serkov & Sergey Krasnykh, 2023. "The Specific Behavior of Economic Agents with Heterogeneous Expectations in the New Keynesian Model with Rigid Prices and Wages," Mathematics, MDPI, vol. 11(4), pages 1-17, February.
    8. Domenico Delli Gatti & Filippo Gusella & Giorgio Ricchiuti, 2024. "Endogenous vs Exogenous Instability: An Out-of-Sample Comparison," CESifo Working Paper Series 11082, CESifo.
    9. Bao, Te & Füllbrunn, Sascha & Pei, Jiaoying & Zong, Jichuan, 2024. "Reading the market? Expectation coordination and theory of mind," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 510-527.
    10. Orlando Gomes, 2024. "The emergence of chaos in productivity distribution dynamics," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 47(2), pages 565-596, December.
    11. Filippo Gusella & Giorgio Ricchiuti, 2022. "A State-Space Approach for Time-Series Prediction of an Heterogeneous Agent Model," Working Papers - Economics wp2022_20.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    12. Jiaoying Pei, 2024. "Minimizing Errors or Surprises?," Papers 2404.08908, arXiv.org, revised Feb 2025.
    13. Daria Plotkina & Arvid O.I. Hoffmann & Patrick Roger & Catherine D’hondt, 2024. "Gender vs. personality: The role of masculinity in explaining cognitive style," Post-Print hal-04758211, HAL.

  6. Te Bao & John Duffy, 2021. "Signal extraction: experimental evidence," Theory and Decision, Springer, vol. 90(2), pages 219-232, March.

    Cited by:

    1. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
    2. Bao, Te & Corgnet, Brice & Hanaki, Nobuyuki & Riyanto, Yohanes E. & Zhu, Jiahua, 2023. "Predicting the unpredictable: New experimental evidence on forecasting random walks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    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. Rocco Caferra & Simone Nuzzo & Andrea Morone, 2023. "“Less is more” or “more is better”? The effect of asymmetric information distribution on market efficiency and wealth inequality," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 233-250, April.

  7. Zhu, Jiahua & Bao, Te & Chia, Wai Mun, 2021. "Evolutionary selection of forecasting and quantity decision rules in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 363-404.

    Cited by:

    1. Bao, Te & Corgnet, Brice & Hanaki, Nobuyuki & Riyanto, Yohanes E. & Zhu, Jiahua, 2023. "Predicting the unpredictable: New experimental evidence on forecasting random walks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).

  8. Bao, Te & Liang, Bin & Riyanto, Yohanes E., 2021. "Unpacking the negative welfare effect of social media: Evidence from a large scale nationally representative time-use survey in China," China Economic Review, Elsevier, vol. 69(C).

    Cited by:

    1. Andranik Tumasjan, 2024. "The many faces of social media in business and economics research: Taking stock of the literature and looking into the future," Journal of Economic Surveys, Wiley Blackwell, vol. 38(2), pages 389-426, April.
    2. Bao, Te & Wei, Lijia & Yu, Yang, 2022. "The impact of information interventions on public opinion on social media regulation: Evidence from a survey on Twitter’s Trump Ban," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 101(C).
    3. Wei, Binhui & Zhao, Chunkai & Luo, Mingzhong, 2024. "Online markets, offline happiness: E-commerce development and subjective well-being in rural China," China Economic Review, Elsevier, vol. 87(C).
    4. Junxia Zeng & Dengwang Li & Cuiping Ma & Bin Wang & Liangliang Gao, 2022. "The Impact of Different Uses of the Internet on Farmers′ Adoption of Soil Testing and Formulated Fertilization Technology in Rural China," IJERPH, MDPI, vol. 20(1), pages 1-14, December.

  9. Te Bao & Edward Halim & Charles N. Noussair & Yohanes E. Riyanto, 2021. "Managerial incentives and stock price dynamics: an experimental approach," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 617-648, June.

    Cited by:

    1. 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).
    2. Zhang, Kun & Yang, Xiaolan & Gao, Mei, 2023. "When to use tournament incentives? Evidence from an investment experiment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).

  10. Te Bao & Edward Halim & Charles N. Noussair & Yohanes E. Riyanto, 2021. "Correction: Managerial incentives and stock price dynamics: an experimental approach," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 649-649, June.

    Cited by:

    1. 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).
    2. Zhang, Kun & Yang, Xiaolan & Gao, Mei, 2023. "When to use tournament incentives? Evidence from an investment experiment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).

  11. Bao, Te & Hennequin, Myrna & Hommes, Cars & Massaro, Domenico, 2020. "Coordination on bubbles in large-group asset pricing experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).

    Cited by:

    1. Cars Hommes & Anita Kopányi-Peuker & Joep Sonnemans, 2021. "Bubbles, crashes and information contagion in large-group asset market experiments," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 414-433, June.
    2. 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.
    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. Domenico Delli Gatti & Filippo Gusella & Giorgio Ricchiuti, 2024. "Endogenous vs Exogenous Instability: An Out-of-Sample Comparison," CESifo Working Paper Series 11082, CESifo.
    5. Bao, Te & Füllbrunn, Sascha & Pei, Jiaoying & Zong, Jichuan, 2024. "Reading the market? Expectation coordination and theory of mind," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 510-527.
    6. Filippo Gusella & Giorgio Ricchiuti, 2022. "A State-Space Approach for Time-Series Prediction of an Heterogeneous Agent Model," Working Papers - Economics wp2022_20.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    7. 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.
    8. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).

  12. Zeng, Qiyan & Yu, Xiaohua & Bao, Te, 2020. "Memory utility, food consumption and obesity," China Economic Review, Elsevier, vol. 62(C).

    Cited by:

    1. Fang, Feifan & Zhao, Yinyu & Xi, Zemiao & Han, Xinru & Zhu, Yuchun, 2023. "The impact of famine experience on middle-aged and elderly individuals’ food consumption: Evidence from China," The Journal of the Economics of Ageing, Elsevier, vol. 26(C).
    2. Guan, Lijun & Huang, Zuhui & Jin, Shaosheng, 2022. "Time preference and nutrition label use: Evidence from China," Economics & Human Biology, Elsevier, vol. 47(C).
    3. Qiyan Zeng & Zhipeng He & Yuting Wang, 2022. "The Direct and Structure Effect of Income on Nutrition Demand of Chinese Rural Residents," IJERPH, MDPI, vol. 19(20), pages 1-13, October.

  13. Bao, Te & Hommes, Cars, 2019. "When speculators meet suppliers: Positive versus negative feedback in experimental housing markets," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.

    Cited by:

    1. Martin, Carolin & Schmitt, Noemi & Westerhoff, Frank, 2021. "Heterogeneous expectations, housing bubbles and tax policy," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 555-573.
    2. Hirota, Shinichi & Suzuki-Löffelholz, Kumi & Udagawa, Daisuke, 2020. "Does owners’ purchase price affect rent offered? Experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    3. Atalay, Kadir & Edwards, Rebecca, 2022. "House prices, housing wealth and financial well-being," Journal of Urban Economics, Elsevier, vol. 129(C).
    4. de Jong, Johan & Sonnemans, Joep & Tuinstra, Jan, 2022. "The effect of futures markets on the stability of commodity prices," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 176-211.
    5. Noemi Schmitt & Frank Westerhoff, 2022. "Speculative housing markets and rent control: insights from nonlinear economic dynamics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 141-163, January.
    6. 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).
    7. 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.
    8. Benjamin Patrick Evans & Mikhail Prokopenko, 2022. "Bounded strategic reasoning explains crisis emergence in multi-agent market games," Papers 2206.05568, arXiv.org.
    9. 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.
    10. Yang Tang & Kairong Hong & Yucheng Zou & Yanwei Zhang, 2021. "Impact of Emotional Perceived Value on the Uncertain Evolution of the Housing Bubble," Mathematics, MDPI, vol. 9(13), pages 1-23, July.
    11. 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).
    12. Nobuyuki Hanaki & Cars Hommes & Dávid Kopányi & Anita Kopányi-Peuker & Jan Tuinstra, 2023. "Forecasting returns instead of prices exacerbates financial bubbles," Experimental Economics, Springer;Economic Science Association, vol. 26(5), pages 1185-1213, November.
    13. Kopányi, Dávid & Rabanal, Jean Paul & Rud, Olga A. & Tuinstra, Jan, 2019. "Can competition between forecasters stabilize asset prices in learning to forecast experiments?," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    14. Jiaoying Pei, 2024. "Minimizing Errors or Surprises?," Papers 2404.08908, arXiv.org, revised Feb 2025.
    15. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
    16. Zhu, Jiahua & Bao, Te & Chia, Wai Mun, 2021. "Evolutionary selection of forecasting and quantity decision rules in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 363-404.

  14. Anufriev, Mikhail & Bao, Te & Sutan, Angela & Tuinstra, Jan, 2019. "Fee structure and mutual fund choice: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 449-474.
    See citations under working paper version above.
  15. Bao, Te & Zong, Jichuan, 2019. "The impact of interest rate policy on individual expectations and asset bubbles in experimental markets," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.

    Cited by:

    1. Bao, Te & Hommes, Cars, 2019. "When speculators meet suppliers: Positive versus negative feedback in experimental housing markets," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    2. Cornand, Camille & Heinemann, Frank, 2022. "Monetary policy obeying the Taylor principle turns prices into strategic substitutes," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1357-1371.
    3. Hirota, Shinichi & Huber, Juergen & Stöckl, Thomas & Sunder, Shyam, 2022. "Speculation, money supply and price indeterminacy in financial markets: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1275-1296.
    4. Bao, Te & Corgnet, Brice & Hanaki, Nobuyuki & Riyanto, Yohanes E. & Zhu, Jiahua, 2023. "Predicting the unpredictable: New experimental evidence on forecasting random walks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    5. 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.
    6. Lucy F. Ackert & Brian D. Kluger & Li Qi & Lijia Wei, 2022. "An experimental examination of the flow of irrelevant information across markets," Southern Economic Journal, John Wiley & Sons, vol. 88(3), pages 1119-1148, January.
    7. Ming-Chu Chiang & I-Chun Tsai, 2020. "Importance of Proper Monetary Liquidity: Sustainable Development of the Housing and Stock Markets," Sustainability, MDPI, vol. 12(21), pages 1-20, October.
    8. Jordi Galí & Giovanni Giusti & Charles N. Noussair, 2020. "Monetary policy and asset price bubbles: a laboratory experiment," Economics Working Papers 1726, Department of Economics and Business, Universitat Pompeu Fabra.
    9. Shinichi Hirota & Juergen Huber & Thomas Stock & Shyam Sunder, 2018. "Speculation and Price Indeterminacy in Financial Markets: An Experimental Study," Cowles Foundation Discussion Papers 2134, Cowles Foundation for Research in Economics, Yale University.
    10. 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).
    11. 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.
    12. Rebecca Westphal & Didier Sornette, 2024. "How Market Intervention can Prevent Bubbles and Crashes: An Agent Based Modelling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 64(3), pages 1315-1356, September.
    13. Bao, Te & Füllbrunn, Sascha & Pei, Jiaoying & Zong, Jichuan, 2024. "Reading the market? Expectation coordination and theory of mind," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 510-527.
    14. Lopomo Beteto Wegner, Danilo, 2024. "Central bank intervention and financial bubbles," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1-19.
    15. Hirota, Shinichi, 2023. "Money supply, opinion dispersion, and stock prices," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 1286-1310.
    16. 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.

  16. Yin, Xile & Li, Jianbiao & Bao, Te, 2019. "Does overconfidence promote cooperation? Theory and experimental evidence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 79(C), pages 119-133.

    Cited by:

    1. Chhatwani, Malvika & Parija, Arpit Kumar, 2023. "Who invests in cryptocurrency? The role of overconfidence among American investors," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    2. King-King Li, 2022. "Memory Recall Bias of Overconfident and Underconfident Individuals after Feedback," Post-Print hal-03841235, HAL.
    3. Friehe, Tim & Pannenberg, Markus, 2021. "Time preferences and overconfident beliefs: Evidence from germany," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 92(C).
    4. Steven N. Kaplan & Morten Sorensen & Anastasia A. Zakolyukina, 2020. "What Is CEO Overconfidence? Evidence from Executive Assessments," Working Papers 2020-115, Becker Friedman Institute for Research In Economics.
    5. Bregu, Klajdi, 2020. "Overconfidence and (Over)Trading: The Effect of Feedback on Trading Behavior," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 88(C).
    6. Francesco Angelini & Massimiliano Castellani & Lorenzo Zirulia, 2022. "Overconfidence in the art market: a bargaining pricing model with asymmetric disinformation," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(3), pages 961-988, October.
    7. King-King Li, 2022. "Memory Recall Bias of Overconfident and Underconfident Individuals after Feedback," Games, MDPI, vol. 13(3), pages 1-15, May.
    8. Bao, Te & Liang, Bin & Pei, Jiaoying, 2022. "Does ethnic diversity always undermine pro-social behavior? Evidence from a laboratory experiment," European Journal of Political Economy, Elsevier, vol. 72(C).
    9. Yin, Xile & Li, Jianbiao & Li, Dahui & Chen, Siyu, 2023. "When emotional responses conflict with self-interested impulses: A transcranial direct current stimulation study of cognitive control in cooperative norm compliance," Journal of Economic Psychology, Elsevier, vol. 99(C).
    10. Wookjae Heo & Abed G. Rabbani & Jae Min Lee, 2021. "Mediation between financial risk tolerance and equity ownership: assessing the role of financial knowledge underconfidence," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 26(3), pages 169-180, September.

  17. Shiwen Quan & Yinchu Zeng & Xiaohua Yu & Te Bao, 2018. "WTP for baby milk formula in China: Using attribute nonattendance as a priori information to select attributes in choice experiment," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 300-320, March.

    Cited by:

    1. Faical Akaichi & Klaus Glenk & Cesar Revoredo‐Giha, 2022. "Bundling food labels: What role could the labels “Organic,” “Local” and “Low Fat” play in fostering the demand for animal‐friendly meat," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 349-370, April.
    2. Wenjing Nie & David Abler & Liqun Zhu & Taiping Li & Guanghua Lin, 2018. "Consumer Preferences and Welfare Evaluation under Current Food Inspection Measures in China: Evidence from Real Experiment Choice of Rice Labels," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
    3. Yang, Xiaoke & Chen, Qiuhua & Lin, Nenmei & Han, Mengzhu & Chen, Qian & Zheng, Qiuqin & Gao, Bin & Liu, Fengbo & Xu, Zhongyue, 2021. "Chinese consumer preferences for organic labels on Oolong tea: evidence from a choice experiment," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(3), February.
    4. Yuqing Zheng & Songqing Jin & Jian Zhang, 2019. "The 21st century agribusiness in China: E‐commerce, consumer preference, and competition," Agribusiness, John Wiley & Sons, Ltd., vol. 35(1), pages 3-5, January.
    5. Xiaoke Yang & Yuanhao Huang & Mengzhu Han & Xiaoting Wen & Qiuqin Zheng & Qian Chen & Qiuhua Chen, 2021. "The Differential Effects of Physical Activity Calorie Equivalent Labeling on Consumer Preferences for Healthy and Unhealthy Food Products: Evidence from a Choice Experiment," IJERPH, MDPI, vol. 18(4), pages 1-16, February.

  18. Bao, Te & Diks, Cees & Li, Hao, 2018. "A generalized CAPM model with asymmetric power distributed errors with an application to portfolio construction," Economic Modelling, Elsevier, vol. 68(C), pages 611-621.

    Cited by:

    1. Hediger, Simon & Näf, Jeffrey, 2024. "Combining the MGHyp distribution with nonlinear shrinkage in modeling financial asset returns," Journal of Empirical Finance, Elsevier, vol. 77(C).
    2. Manuel Galea & David Cademartori & Roberto Curci & Alonso Molina, 2020. "Robust Inference in the Capital Asset Pricing Model Using the Multivariate t -distribution," JRFM, MDPI, vol. 13(6), pages 1-22, June.
    3. Simon Hediger & Jeffrey Näf & Marc S. Paolella & Paweł Polak, 2023. "Heterogeneous tail generalized common factor modeling," Digital Finance, Springer, vol. 5(2), pages 389-420, June.
    4. Maciel, Leandro, 2021. "A new approach to portfolio management in the Brazilian equity market: Does assets efficiency level improve performance?," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 38-56.

  19. Bao, Te & Dai, Yun & Yu, Xiaohua, 2018. "Memory and discounting: Theory and evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 88(C), pages 21-30.

    Cited by:

    1. Zhihua Li & Songfa Zhong, 2020. "Reference Dependence in Intertemporal Preference," Discussion Papers 20-01, Department of Economics, University of Birmingham.
    2. Guan, Lijun & Huang, Zuhui & Jin, Shaosheng, 2022. "Time preference and nutrition label use: Evidence from China," Economics & Human Biology, Elsevier, vol. 47(C).
    3. Zeng, Qiyan & Yu, Xiaohua & Bao, Te, 2020. "Memory utility, food consumption and obesity," China Economic Review, Elsevier, vol. 62(C).
    4. Ding, Yawen & Min, Shi & Wang, Xiaobing & Yu, Xiaohua, 2022. "Memory of famine: The persistent impact of famine experience on food waste behavior," China Economic Review, Elsevier, vol. 73(C).
    5. Bao, Te & Li, Xun & Xia, Congling, 2024. "Life is too short to be small: An experiment on mortality salience and prosocial behavior," China Economic Review, Elsevier, vol. 86(C).

  20. Te Bao & Cars Hommes & Tomasz Makarewicz, 2017. "Bubble Formation and (In)Efficient Markets in Learning‐to‐forecast and optimise Experiments," Economic Journal, Royal Economic Society, vol. 127(605), pages 581-609, October.
    See citations under working paper version above.
  21. Te Bao & Li Ding, 2016. "–Nonrecourse Mortgage and Housing Price Boom, Bust, and Rebound," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 44(3), pages 584-605, July.
    See citations under working paper version above.
  22. Anufriev, Mikhail & Bao, Te & Tuinstra, Jan, 2016. "Microfoundations for switching behavior in heterogeneous agent models: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 129(C), pages 74-99.
    See citations under working paper version above.
  23. Bao, Te & Duffy, John, 2016. "Adaptive versus eductive learning: Theory and evidence," European Economic Review, Elsevier, vol. 83(C), pages 64-89.

    Cited by:

    1. Evans, George & Gibbs, Christopher & McGough, Bruce, 2021. "A Unified Model of Learning to Forecast," Working Papers 2021-10, University of Sydney, School of Economics.
    2. Hommes, Cars & in ’t Veld, Daan, 2017. "Booms, busts and behavioural heterogeneity in stock prices," Journal of Economic Dynamics and Control, Elsevier, vol. 80(C), pages 101-124.
    3. Mikhail Anufriev & John Duffy & Valentyn Panchenko, "undated". "Planar Beauty Contests," Discussion Papers 2019-06, School of Economics, The University of New South Wales.
    4. Anufriev, Mikhail & Duffy, John & Panchenko, Valentyn, 2022. "Learning in two-dimensional beauty contest games: Theory and experimental evidence," Journal of Economic Theory, Elsevier, vol. 201(C).
    5. Bao, Te & Corgnet, Brice & Hanaki, Nobuyuki & Riyanto, Yohanes E. & Zhu, Jiahua, 2023. "Predicting the unpredictable: New experimental evidence on forecasting random walks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    6. Cars Hommes & Domenico Massaro & Isabelle Salle, 2019. "Monetary And Fiscal Policy Design At The Zero Lower Bound: Evidence From The Lab," Economic Inquiry, Western Economic Association International, vol. 57(2), pages 1120-1140, April.
    7. 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).
    8. Dávid Kopányi & Jean Paul Rabanal & Olga A. Rud & Jan Tuinstra, 2019. "Can successful forecasters help stabilize asset prices in a learning to forecast experiment?," Working Papers 140, Peruvian Economic Association.
    9. Kopányi, Dávid & Rabanal, Jean Paul & Rud, Olga A. & Tuinstra, Jan, 2019. "Can competition between forecasters stabilize asset prices in learning to forecast experiments?," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    10. John Duffy, 2022. "Why macroeconomics needs experimental evidence," The Japanese Economic Review, Springer, vol. 73(1), pages 5-29, January.
    11. 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.

  24. Bao, Te & Duffy, John & Hommes, Cars, 2013. "Learning, forecasting and optimizing: An experimental study," European Economic Review, Elsevier, vol. 61(C), pages 186-204.
    See citations under working paper version above.
  25. Bao, Te & Hommes, Cars & Sonnemans, Joep & Tuinstra, Jan, 2012. "Individual expectations, limited rationality and aggregate outcomes," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1101-1120.
    See citations under working paper version above.

Chapters

  1. Te Bao & Elizaveta Nekrasova & Tibor Neugebauer & Yohanes E. Riyanto, 2022. "Algorithmic trading in experimental markets with human traders: A literature survey," Chapters, in: Sascha Füllbrunn & Ernan Haruvy (ed.), Handbook of Experimental Finance, chapter 23, pages 302-322, Edward Elgar Publishing.

    Cited by:

    1. Corgnet, Brice & DeSantis, Mark & Siemroth, Christoph, 2023. "Algorithmic Trading, Price Efficiency and Welfare: An Experimental Approach," Economics Discussion Papers 36273, University of Essex, Department of Economics.
    2. Tibor Neugebauer & Jason Shachat & Wiebke Szymczak, 2020. "A test of the Modigliani-Miller theorem, dividend policy and algorithmic arbitrage in experimental asset markets," Working Papers 20-14, Chapman University, Economic Science Institute.
    3. Zhuo Wenjun, 2023. "Circulation Expectations, Farmer Trust, and Farmers’ Contract Choice Behavior," Land, MDPI, vol. 12(8), pages 1-15, August.
    4. Angerer, Martin & Neugebauer, Tibor & Shachat, Jason, 2023. "Arbitrage bots in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 262-278.

  2. Tiziana Assenza & Te Bao & Cars Hommes & Domenico Massaro, 2014. "Experiments on Expectations in Macroeconomics and Finance," Research in Experimental Economics, in: Experiments in Macroeconomics, volume 17, pages 11-70, Emerald Group Publishing Limited.
    See citations under working paper version above.
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