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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. 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.
    2. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Yohanes E. Riyanto & Jiahua Zhu, 2023. "Predicting the unpredictable : New experimental evidence on forecasting random walks," Post-Print hal-04376053, HAL.
    3. 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.
    4. 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).
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. Gui, Zhengqing & Huang, Yangguang & Zhao, Xiaojian, 2021. "Whom to educate? Financial literacy and investor awareness," China Economic Review, Elsevier, vol. 67(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," Rationality and Competition Discussion Paper Series 64, CRC TRR 190 Rationality and Competition.

  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. Mikhail Anufriev & Te Bao & Jan Tuinstra, 2015. "Microfoundations for Switching Behavior in Heterogeneous Agent Models: An Experiment," Working Paper Series 31, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

  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, Wilko & Demertzis, Maria & Diks, Cees & Hommes, Cars & Leij, Marco van der, 2019. "Identifying booms and busts in house prices under heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 103(C), pages 234-259.
    2. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. 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.
    4. 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).
    5. 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).
    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. 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. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena, 2019. "The term structure of cross-sectional dispersion of expectations in a Learning-to-Forecast Experiment," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 491-520, September.
    2. Colasante, Annarita & Alfarano, Simone & Camacho Cuena, Eva & Gallegati, Mauro, 2017. "Long-run expectations in a Learning-to-Forecast-Experiment: a simulation approach," MPRA Paper 77618, University Library of Munich, Germany.
    3. 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.
    4. 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.
    5. Colasante, Annarita & Alfarano, Simone & Camacho-Cuena, Eva, 2019. "Heuristic Switching Model and Exploration-Explotation Algorithm to describe long-run expectations in LtFEs: a comparison," MPRA Paper 92391, University Library of Munich, Germany.
    6. 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.
    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. Mikhail Anufriev & Te Bao & Jan Tuinstra, 2015. "Microfoundations for Switching Behavior in Heterogeneous Agent Models: An Experiment," Working Paper Series 31, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

  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. 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.
    2. 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.
    3. 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.
    4. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Yohanes E. Riyanto & Jiahua Zhu, 2023. "Predicting the unpredictable : New experimental evidence on forecasting random walks," Post-Print hal-04376053, HAL.
    5. 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.
    6. 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.
    7. Kukacka, Jiri & Sacht, Stephen, 2021. "Estimation of Heuristic Switching in Behavioral Macroeconomic Models," Economics Working Papers 2021-01, Christian-Albrechts-University of Kiel, Department of Economics.
    8. 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).
    9. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2019. "Validation of Agent-Based Models in Economics and Finance," SciencePo Working papers Main halshs-02375423, HAL.
    10. Chernulich, Aleksei, 2021. "Modelling reference dependence for repeated choices: A horse race between models of normalisation," Journal of Economic Psychology, Elsevier, vol. 87(C).
    11. 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.
    12. 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.
    13. Yu Zhang & Weihong Huang, 2018. "Impact of strategy switching on wealth accumulation," Journal of Evolutionary Economics, Springer, vol. 28(4), pages 961-983, September.
    14. 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.
    15. 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).
    16. 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.
    17. 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.
    18. Noemi Schmitt & Ivonne Schwartz & Frank Westerhoff, 2022. "Heterogeneous speculators and stock market dynamics: a simple agent-based computational model," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1263-1282, October.
    19. Galanis, Giorgos & Kollias, Iraklis & Leventidis, Ioanis & Lustenhouwer, Joep, 2022. "Generalizing Heuristic Switching Models," Working Papers 0715, University of Heidelberg, Department of Economics.
    20. 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.

  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. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena, 2019. "The term structure of cross-sectional dispersion of expectations in a Learning-to-Forecast Experiment," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 491-520, September.
    2. 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.
    3. Anita (A.G.) Kopanyi-Peuker & Matthias Weber, 2018. "Experience Does not Eliminate Bubbles: Experimental Evidence," Tinbergen Institute Discussion Papers 18-092/II, Tinbergen Institute.
    4. Hommes, Cars & Massaro, Domenico & Weber, Matthias, 2019. "Monetary policy under behavioral expectations: Theory and experiment," European Economic Review, Elsevier, vol. 118(C), pages 193-212.
    5. 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.
    6. Camille Cornand & Frank Heinemann, 2018. "Monetary Policy obeying the Taylor Principle Turns Prices into Strategic Substitutes," Working Papers halshs-01759692, HAL.
    7. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph Stiglitz & Tania Treibich, 2020. "Rational heuristics? Expectations and behaviors in evolving economies with heterogeneous interacting agents," Post-Print halshs-03046977, HAL.
    8. Olivér Kovács, 2019. "Grounding Complexity Economics in Framing Modern Governance," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 69(4), pages 571-594, December.
    9. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Yohanes E. Riyanto & Jiahua Zhu, 2023. "Predicting the unpredictable : New experimental evidence on forecasting random walks," Post-Print hal-04376053, HAL.
    10. Colasante, Annarita & Alfarano, Simone & Camacho Cuena, Eva & Gallegati, Mauro, 2017. "Long-run expectations in a Learning-to-Forecast-Experiment: a simulation approach," MPRA Paper 77618, University Library of Munich, Germany.
    11. 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.
    12. 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.
    13. Cars Hommes, 2017. "From self-fulfilling mistakes to behavioral learning equilibria," Tinbergen Institute Discussion Papers 17-018/II, Tinbergen Institute.
    14. Florian Peters & Simas Kucinskas, 2018. "Measuring Biases in Expectation Formation," Tinbergen Institute Discussion Papers 18-058/IV, Tinbergen Institute.
    15. 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.
    16. Kukacka, Jiri & Sacht, Stephen, 2021. "Estimation of Heuristic Switching in Behavioral Macroeconomic Models," Economics Working Papers 2021-01, Christian-Albrechts-University of Kiel, Department of Economics.
    17. Thesmar, David & Landier, Augustin & Ma, Yueran, 2017. "New Experimental Evidence on Expectations Formation," CEPR Discussion Papers 12527, C.E.P.R. Discussion Papers.
    18. 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).
    19. 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.
    20. Treu, Johannes & Hartwig, Johannes, 2023. "Perceived Inflation in Germany in 2022," MPRA Paper 118403, University Library of Munich, Germany.
    21. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    22. 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.
    23. 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.
    24. 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.
    25. Mauro Napoletano, 2018. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(3), pages 257-281.
    26. 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.
    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. 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.
    29. 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.
    30. 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.
    31. Colasante, Annarita & Alfarano, Simone & Camacho-Cuena, Eva, 2019. "Heuristic Switching Model and Exploration-Explotation Algorithm to describe long-run expectations in LtFEs: a comparison," MPRA Paper 92391, University Library of Munich, Germany.
    32. Camille Cornand & Frank Heinemann, 2015. "Macro-expérimentation autour des fonctions des banques centrales," Post-Print halshs-01232455, HAL.
    33. Saskia ter Ellen & Cars H. Hommes & Remco C.J. Zwinkels, 2017. "Comparing behavioural heterogeneity across asset classes," Working Paper 2017/12, Norges Bank.
    34. 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.
    35. De Grauwe, Paul & Ji, Yuemei, 2022. "Trust and Monetary Policy," CEPR Discussion Papers 17087, C.E.P.R. Discussion Papers.
    36. John Duffy, 2022. "Why macroeconomics needs experimental evidence," The Japanese Economic Review, Springer, vol. 73(1), pages 5-29, January.
    37. 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.
    38. Xiao, Wei, 2024. "Initial anchors and limited information in learning-to-forecast experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 192-227.
    39. 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.
    40. Hommes, C.H. & Massaro, D. & Salle, I., 2015. "Monetary and Fiscal Policy Design at the Zero Lower Bound - Evidence from the Lab," CeNDEF Working Papers 15-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    41. Kopanyi-Peuker, Anita & Weber, Matthias, 2018. "Experience Does not Eliminate Bubbles: Experimental Evidence," SocArXiv ecj7q_v1, Center for Open Science.
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. Papadopoulos, Georgios, 2020. "Probing the mechanism: lending rate setting in a data-driven agent-based model," MPRA Paper 102749, University Library of Munich, Germany.
    47. 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.
    48. 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.
    49. Hommes, Cars, 2018. "Carl’s nonlinear cobweb," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 7-20.
    50. 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.
    51. 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.
    52. 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.
    53. 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.

  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. Anita (A.G.) Kopanyi-Peuker & Matthias Weber, 2018. "Experience Does not Eliminate Bubbles: Experimental Evidence," Tinbergen Institute Discussion Papers 18-092/II, Tinbergen Institute.
    2. 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).
    3. 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.
    4. 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.
    5. Schmitt, Noemi & Westerhoff, Frank H., 2019. "Trend followers, contrarians and fundamentalists: Explaining the dynamics of financial markets," BERG Working Paper Series 151, Bamberg University, Bamberg Economic Research Group.
    6. 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.
    7. 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.
    8. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Yohanes E. Riyanto & Jiahua Zhu, 2023. "Predicting the unpredictable : New experimental evidence on forecasting random walks," Post-Print hal-04376053, HAL.
    9. Fatemeh Mokhtarzadeh & Luba Petersen, 2021. "Coordinating expectations through central bank projections," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 883-918, September.
    10. Nobuyuki Hanaki & Eizo Akiyama & Ryuichiro Ishikawa, 2017. "Effects of eliciting long-run price forecasts on market dynamics in asset market experiments," Working Papers halshs-01263661, HAL.
    11. 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.
    12. 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.
    13. Alqaralleh, Huthaifa & Canepa, Alessandra, 2020. "Housing market cycles in large urban areas," Economic Modelling, Elsevier, vol. 92(C), pages 257-267.
    14. Florian Peters & Simas Kucinskas, 2018. "Measuring Biases in Expectation Formation," Tinbergen Institute Discussion Papers 18-058/IV, Tinbergen Institute.
    15. Hanaki, Nobuyuki & Akiyama, Eizo & Ishikawa, Ryuichiro, 2018. "Effects of different ways of incentivizing price forecasts on market dynamics and individual decisions in asset market experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 88(C), pages 51-69.
    16. 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.
    17. 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.
    18. 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).
    19. 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.
    20. Matthias Weber & John Duffy & Arthur Schram, 2019. "Credit Default Swap Regulation in Experimental Bond Markets," Working Papers on Finance 1905, University of St. Gallen, School of Finance.
    21. 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).
    22. 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.
    23. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    24. Steiger, Sören & Pelster, Matthias, 2020. "Social interactions and asset pricing bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 503-522.
    25. 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).
    26. 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).
    27. 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.
    28. 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.
    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. 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.
    31. Kopányi-Peuker, Anita & Weber, Matthias, 2024. "The role of the end time in experimental asset markets," Journal of Corporate Finance, Elsevier, vol. 88(C).
    32. 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).
    33. 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.
    34. 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.
    35. 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).
    36. 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.
    37. 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.
    38. 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.
    39. 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.
    40. 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).
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    45. Mikhail Anufriev & Te Bao & Jan Tuinstra, 2015. "Microfoundations for Switching Behavior in Heterogeneous Agent Models: An Experiment," Working Paper Series 31, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    46. Jiaoying Pei, 2024. "Minimizing Errors or Surprises?," Papers 2404.08908, arXiv.org, revised Feb 2025.
    47. 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.
    48. 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).
    49. 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.
    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.
    51. 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.

  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. 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.

  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. Mikhail Anufriev & D?�vid Kop?�nyiz & Jan Tuinstra, 2013. "Learning Cycles in Bertrand Competition with Differentiated Commodities and Competing Learning Rules," Working Paper Series 8, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Schmitt, Noemi & Westerhoff, Frank, 2015. "Managing rational routes to randomness," BERG Working Paper Series 96, Bamberg University, Bamberg Economic Research Group.

  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. 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.
    2. Anita (A.G.) Kopanyi-Peuker & Matthias Weber, 2018. "Experience Does not Eliminate Bubbles: Experimental Evidence," Tinbergen Institute Discussion Papers 18-092/II, Tinbergen Institute.
    3. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena, 2019. "The term structure of cross-sectional dispersion of expectations in a Learning-to-Forecast Experiment," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 491-520, September.
    4. Pfajfar, Damjan & Žakelj, Blaž, 2018. "Inflation Expectations And Monetary Policy Design: Evidence From The Laboratory," Macroeconomic Dynamics, Cambridge University Press, vol. 22(4), pages 1035-1075, June.
    5. Cars Hommes & Stefanie J. Huber & Daria Minina & Isabelle Salle, 2024. "Learning in a Complex World Insights from an OLG Lab Experiment," ECONtribute Discussion Papers Series 283, University of Bonn and University of Cologne, Germany.
    6. 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.
    7. 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).
    8. 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.
    9. Salle, Isabelle & Yildizoglu, Murat & Zumpe, Martin & Sénégas, Marc-Alexandre, 2017. "Coordination through social learning in a general equilibrium model," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 64-82.
    10. Nobuyuki Hanaki & Eizo Akiyama & Ryuichiro Ishikawa, 2017. "Effects of eliciting long-run price forecasts on market dynamics in asset market experiments," Working Papers halshs-01263661, HAL.
    11. 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.
    12. Colasante, Annarita & Alfarano, Simone & Camacho Cuena, Eva & Gallegati, Mauro, 2017. "Long-run expectations in a Learning-to-Forecast-Experiment: a simulation approach," MPRA Paper 77618, University Library of Munich, Germany.
    13. Hanaki, Nobuyuki & Akiyama, Eizo & Ishikawa, Ryuichiro, 2018. "Behavioral uncertainty and the dynamics of traders’ confidence in their price forecasts," Journal of Economic Dynamics and Control, Elsevier, vol. 88(C), pages 121-136.
    14. Camille Cornand & Paul Hubert, 2020. "On the external validity of experimental inflation forecasts," SciencePo Working papers Main hal-02894262, HAL.
    15. Kryvtsov, Oleksiy & Petersen, Luba, 2021. "Central bank communication that works: Lessons from lab experiments," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 760-780.
    16. 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.
    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. Hanaki, Nobuyuki & Akiyama, Eizo & Ishikawa, Ryuichiro, 2018. "Effects of different ways of incentivizing price forecasts on market dynamics and individual decisions in asset market experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 88(C), pages 51-69.
    19. Pfajfar, Damjan & Žakelj, Blaž, 2014. "Experimental evidence on inflation expectation formation," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 147-168.
    20. Jacopo Cimadomo & Peter Claeys & Mr. Marcos Poplawski Ribeiro, 2016. "How do Experts Forecast Sovereign Spreads?," IMF Working Papers 2016/100, International Monetary Fund.
    21. Muhammed Bulutay & Camille Cornand & Adam Zylbersztejn, 2022. "Learning to deal with repeated shocks under strategic complementarity: An experiment," Post-Print halshs-02895753, HAL.
    22. Shinichi Hirota & Juergen Huber & Thomas Stock & Shyam Sunder, 2018. "Speculation and Price Indeterminacy in Financial Markets: An Experimental Study," Cowles Foundation Discussion Papers 2134R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2020.
    23. 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.
    24. 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.
    25. 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).
    26. 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.
    27. 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).
    28. 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.
    29. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    30. John Duffy & Te Bao, 2013. "Adaptive vs. Eductive Learning: Theory and Evidence," Working Paper 518, Department of Economics, University of Pittsburgh, revised Dec 2013.
    31. 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.
    32. Steiger, Sören & Pelster, Matthias, 2020. "Social interactions and asset pricing bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 503-522.
    33. Luhan, Wolfgang J. & Scharler, Johann, 2013. "Monetary Policy, Inflation Illusion and the Taylor Principle – An Experimental Study," Ruhr Economic Papers 402, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    34. Bao, Te & Duffy, John, 2016. "Adaptive versus eductive learning: Theory and evidence," European Economic Review, Elsevier, vol. 83(C), pages 64-89.
    35. Berardi, Michele, 2021. "Beliefs asymmetry and price stability in a cobweb model," MPRA Paper 106920, University Library of Munich, Germany.
    36. 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.
    37. Piero Mazzarisi & Fabrizio Lillo & Stefano Marmi, 2018. "When panic makes you blind: a chaotic route to systemic risk," Papers 1805.00785, arXiv.org.
    38. 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.
    39. Camille Cornand & Frank Heinemann, 2019. "Experiments on macroeconomics: methods and applications," Post-Print halshs-01902045, HAL.
    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. 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.
    42. 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).
    43. Colasante, Annarita & Alfarano, Simone & Camacho-Cuena, Eva, 2019. "Heuristic Switching Model and Exploration-Explotation Algorithm to describe long-run expectations in LtFEs: a comparison," MPRA Paper 92391, University Library of Munich, Germany.
    44. 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.
    45. 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.
    46. Ryan Rholes & Luba Petersen, 2020. "Should central banks communicate uncertainty in their projections?," Discussion Papers dp20-01, Department of Economics, Simon Fraser University.
    47. Xiao, Wei, 2024. "Initial anchors and limited information in learning-to-forecast experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 192-227.
    48. 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).
    49. 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.
    50. Irenaeus Wolff & Dominik Bauer, 2018. "Elusive Beliefs: Why Uncertainty Leads to Stochastic Choice and Errors," TWI Research Paper Series 111, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    51. 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.
    52. Kopanyi-Peuker, Anita & Weber, Matthias, 2018. "Experience Does not Eliminate Bubbles: Experimental Evidence," SocArXiv ecj7q_v1, Center for Open Science.
    53. 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.
    54. 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.
    55. 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.
    56. 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.
    57. 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.
    58. 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.
    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. 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.
    62. Heinke, Steve & Olschewski, Sebastian & Rieskamp, Jörg, 2024. "Experiences, demand for risky investments, and implications for price dynamics," Journal of Behavioral and Experimental Finance, Elsevier, vol. 43(C).
    63. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
    64. 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.
    65. 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).
    66. Bao, T. & Duffy, J., 2014. "Adaptive vs. eductive learning," Research Report 14002-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

  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. Pfajfar, Damjan & Žakelj, Blaž, 2018. "Inflation Expectations And Monetary Policy Design: Evidence From The Laboratory," Macroeconomic Dynamics, Cambridge University Press, vol. 22(4), pages 1035-1075, June.
    2. 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.
    3. 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.
    4. Petersen, Luba & Rholes, Ryan, 2022. "Macroeconomic expectations, central bank communication, and background uncertainty: A COVID-19 laboratory experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    5. 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.
    6. Nobuyuki Hanaki & Yukio Koriyama & Angela Sutan & Marc Willinger, 2018. "The strategic environment effect in beauty contest games," CEE-M Working Papers hal-01954922, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    7. 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.
    8. Hommes, Cars & Massaro, Domenico & Weber, Matthias, 2019. "Monetary policy under behavioral expectations: Theory and experiment," European Economic Review, Elsevier, vol. 118(C), pages 193-212.
    9. Camille Cornand & Frank Heinemann, 2018. "Monetary Policy obeying the Taylor Principle Turns Prices into Strategic Substitutes," Working Papers halshs-01759692, HAL.
    10. Sonnemans, J. & Tuinstra, J., 2010. "Positive expectations feedback experiments and number guessing games as models of financial markets," CeNDEF Working Papers 10-08, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    11. Oleksiy Kryvtsov & Luba Petersen, 2013. "Expectations and Monetary Policy: Experimental Evidence," Discussion Papers dp13-09, Department of Economics, Simon Fraser University.
    12. 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.
    13. 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.
    14. Nobuyuki Hanaki & Eizo Akiyama & Ryuichiro Ishikawa, 2017. "Effects of eliciting long-run price forecasts on market dynamics in asset market experiments," Working Papers halshs-01263661, HAL.
    15. 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.
    16. Colasante, Annarita & Alfarano, Simone & Camacho Cuena, Eva & Gallegati, Mauro, 2017. "Long-run expectations in a Learning-to-Forecast-Experiment: a simulation approach," MPRA Paper 77618, University Library of Munich, Germany.
    17. 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.
    18. 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.
    19. 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.
    20. Akiyama, Eizo & Hanaki, Nobuyuki & Ishikawa, Ryuichiro, 2014. "How do experienced traders respond to inflows of inexperienced traders? An experimental analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 1-18.
    21. 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.
    22. 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.
    23. Assenza, Tiziana & Heemeijer, P. & Hommes, C.H. & Massaro, D., 2018. "Managing Self-organization of Expectations through Monetary Policy: a Macro Experiment," TSE Working Papers 18-963, Toulouse School of Economics (TSE).
    24. Hanaki, Nobuyuki & Akiyama, Eizo & Ishikawa, Ryuichiro, 2018. "Effects of different ways of incentivizing price forecasts on market dynamics and individual decisions in asset market experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 88(C), pages 51-69.
    25. Pfajfar, Damjan & Žakelj, Blaž, 2014. "Experimental evidence on inflation expectation formation," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 147-168.
    26. Jacopo Cimadomo & Peter Claeys & Mr. Marcos Poplawski Ribeiro, 2016. "How do Experts Forecast Sovereign Spreads?," IMF Working Papers 2016/100, International Monetary Fund.
    27. Te Bao & John Duffy & Cars Hommes, 2012. "Learning, Forecasting and Optimizing: An Experimental Study," Tinbergen Institute Discussion Papers 12-015/1, Tinbergen Institute.
    28. 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.
    29. Muhammed Bulutay & Camille Cornand & Adam Zylbersztejn, 2022. "Learning to deal with repeated shocks under strategic complementarity: An experiment," Post-Print halshs-02895753, HAL.
    30. Shinichi Hirota & Juergen Huber & Thomas Stock & Shyam Sunder, 2018. "Speculation and Price Indeterminacy in Financial Markets: An Experimental Study," Cowles Foundation Discussion Papers 2134R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2020.
    31. 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.
    32. 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).
    33. 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.
    34. Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Post-Print hal-02084910, HAL.
    35. 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).
    36. 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.).
    37. 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.
    38. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    39. John Duffy & Te Bao, 2013. "Adaptive vs. Eductive Learning: Theory and Evidence," Working Paper 518, Department of Economics, University of Pittsburgh, revised Dec 2013.
    40. 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.
    41. 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).
    42. Bao, Te & Duffy, John, 2016. "Adaptive versus eductive learning: Theory and evidence," European Economic Review, Elsevier, vol. 83(C), pages 64-89.
    43. Anufriev, M. & Hommes, C.H. & Makarewicz, T.A., 2015. "Simple Forecasting Heuristics that Make us Smart: Evidence from Different Market Experiments," CeNDEF Working Papers 15-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    44. 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.
    45. Choo, Lawrence, 2016. "Market competition for decision rights: An experiment based on the “Hat Puzzle Problem”," MPRA Paper 73408, University Library of Munich, Germany.
    46. 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.
    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. 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.
    49. Assenza, T. & Heemeijer, P. & Hommes, C.H. & Massaro, D., 2011. "Individual Expectations and Aggregate Macro Behavior," CeNDEF Working Papers 11-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    50. Colasante, Annarita & Alfarano, Simone & Camacho-Cuena, Eva, 2019. "Heuristic Switching Model and Exploration-Explotation Algorithm to describe long-run expectations in LtFEs: a comparison," MPRA Paper 92391, University Library of Munich, Germany.
    51. Camille Cornand & Frank Heinemann, 2015. "Macro-expérimentation autour des fonctions des banques centrales," Post-Print halshs-01232455, HAL.
    52. Cars Hommes, 2013. "Behaviorally Rational Expectations and Almost Self-Fulfilling Equilibria," Tinbergen Institute Discussion Papers 13-204/II, Tinbergen Institute.
    53. 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.
    54. 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.
    55. Xiao, Wei, 2024. "Initial anchors and limited information in learning-to-forecast experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 192-227.
    56. 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).
    57. Cars Hommes, 2013. "Reflexivity, expectations feedback and almost self-fulfilling equilibria: economic theory, empirical evidence and laboratory experiments," Journal of Economic Methodology, Taylor & Francis Journals, vol. 20(4), pages 406-419, December.
    58. 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.
    59. 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.
    60. Holmén, Martin & Kirchler, Michael & Kleinlercher, Daniel, 2012. "Do Option-like Incentives Induce Overvaluation? Evidence from Experimental Asset Markets," Working Papers in Economics 540, University of Gothenburg, Department of Economics, revised 21 Nov 2012.
    61. 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.
    62. 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.
    63. Evans, George & Gibbs, Christopher & McGough, Bruce, 2021. "A Unified Model of Learning to Forecast," Working Papers 2021-10, University of Sydney, School of Economics.
    64. 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.
    65. 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.
    66. 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.
    67. Galanis, Giorgos & Kollias, Iraklis & Leventidis, Ioanis & Lustenhouwer, Joep, 2022. "Generalizing Heuristic Switching Models," Working Papers 0715, University of Heidelberg, Department of Economics.
    68. 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.
    69. 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.
    70. Vivien Lespagnol & Juliette Rouchier, 2014. "Trading volume and market efficiency: an Agent Based Model with heterogenous knowledge about fundamentals," AMSE Working Papers 1419, Aix-Marseille School of Economics, France, revised May 2014.
    71. Nobuyuki Hanaki, 2019. "Cognitive ability and observed behavior in laboratory experiments: implications for macroeconomic theory," Post-Print halshs-02534868, HAL.
    72. 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.
    73. 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.
    74. 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.
    75. 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.
    76. 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.
    77. Mikhail Anufriev & Te Bao & Jan Tuinstra, 2015. "Microfoundations for Switching Behavior in Heterogeneous Agent Models: An Experiment," Working Paper Series 31, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    78. 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.
    79. 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.
    80. Jiaoying Pei, 2024. "Minimizing Errors or Surprises?," Papers 2404.08908, arXiv.org, revised Feb 2025.
    81. 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.
    82. 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.
    83. 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.
    84. Vivien Lespagnol & Juliette Rouchier, 2015. "Fair Price and Trading Price: An Abm Approach with Order-Placement Strategy and Misunderstanding of Fundamental Value," Post-Print hal-01456118, HAL.
    85. 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.
    86. 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.
    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.
    88. 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.

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 & 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.

    Cited by:

    1. Yang, Xiaolan & Fang, Xiaotong & Gao, Mei & Ackert, Lucy F. & Qi, Li, 2024. "Follow the gaze: How social attention shapes gendered trading choices," China Economic Review, Elsevier, vol. 88(C).

  3. 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.
  4. 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).

  5. 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. Xiaoyang, Xu & Ali, Shoaib & Naveed, Muhammad, 2024. "Artificial intelligence and big data tokens: Where cognition unites, herding patterns take flight," Research in International Business and Finance, Elsevier, vol. 72(PA).
    4. 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.

  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).

    Cited by:

    1. 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.
    2. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Yohanes E. Riyanto & Jiahua Zhu, 2023. "Predicting the unpredictable : New experimental evidence on forecasting random walks," Post-Print hal-04376053, HAL.
    3. 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.
    4. 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.
    5. 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.
    6. Domenico Delli Gatti & Filippo Gusella & Giorgio Ricchiuti, 2024. "Endogenous vs Exogenous Instability: An Out-of-Sample Comparison," CESifo Working Paper Series 11082, CESifo.
    7. Mignot Sarah & Pellizzari Paolo & Westerhoff Frank, 2024. "Fake News and Asset Price Dynamics," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 244(4), pages 351-379.
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. Jiaoying Pei, 2024. "Minimizing Errors or Surprises?," Papers 2404.08908, arXiv.org, revised Feb 2025.
    14. Heinke, Steve & Olschewski, Sebastian & Rieskamp, Jörg, 2024. "Experiences, demand for risky investments, and implications for price dynamics," Journal of Behavioral and Experimental Finance, Elsevier, vol. 43(C).
    15. 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.

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

    Cited by:

    1. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Yohanes E. Riyanto & Jiahua Zhu, 2023. "Predicting the unpredictable : New experimental evidence on forecasting random walks," Post-Print hal-04376053, HAL.
    2. 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.
    3. 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.
    4. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).

  8. 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. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Yohanes E. Riyanto & Jiahua Zhu, 2023. "Predicting the unpredictable : New experimental evidence on forecasting random walks," Post-Print hal-04376053, HAL.

  9. 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. Jiang, Ying & Xie, Yong & Shao, Qinglong, 2024. "How did Internet usage affect life satisfaction before and after COVID-19? Mediating effects and heterogeneity analysis," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    5. 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.

  10. 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. 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).
    2. 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).

  11. 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. 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).
    2. 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).

  12. 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. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    3. Domenico Delli Gatti & Filippo Gusella & Giorgio Ricchiuti, 2024. "Endogenous vs Exogenous Instability: An Out-of-Sample Comparison," CESifo Working Paper Series 11082, CESifo.
    4. Kopányi-Peuker, Anita & Weber, Matthias, 2024. "The role of the end time in experimental asset markets," Journal of Corporate Finance, Elsevier, vol. 88(C).
    5. Xiao, Wei, 2024. "Initial anchors and limited information in learning-to-forecast experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 192-227.
    6. 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.
    7. 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.
    8. 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.
    9. Zhou Lu & Te Bao & Xiaohua Yu, 2021. "Gender and Bubbles in Experimental Markets with Positive and Negative Expectation Feedback," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1307-1326, April.
    10. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).

  13. 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.

  14. 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. Petersen, Luba & Rholes, Ryan, 2022. "Macroeconomic expectations, central bank communication, and background uncertainty: A COVID-19 laboratory experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    2. 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.
    3. 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.
    4. 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.
    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. 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.
    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.
    8. 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).
    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. 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.
    11. Xiao, Wei, 2024. "Initial anchors and limited information in learning-to-forecast experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 225(C), pages 192-227.
    12. Atalay, Kadir & Edwards, Rebecca, 2022. "House prices, housing wealth and financial well-being," Journal of Urban Economics, Elsevier, vol. 129(C).
    13. 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).
    14. 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.
    15. Jiaoying Pei, 2024. "Minimizing Errors or Surprises?," Papers 2404.08908, arXiv.org, revised Feb 2025.
    16. Benjamin Patrick Evans & Mikhail Prokopenko, 2022. "Bounded strategic reasoning explains crisis emergence in multi-agent market games," Papers 2206.05568, arXiv.org.
    17. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).

  15. 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.
  16. 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. Camille Cornand & Frank Heinemann, 2018. "Monetary Policy obeying the Taylor Principle Turns Prices into Strategic Substitutes," Working Papers halshs-01759692, HAL.
    2. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Yohanes E. Riyanto & Jiahua Zhu, 2023. "Predicting the unpredictable : New experimental evidence on forecasting random walks," Post-Print hal-04376053, HAL.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Shinichi Hirota & Juergen Huber & Thomas Stock & Shyam Sunder, 2018. "Speculation and Price Indeterminacy in Financial Markets: An Experimental Study," Cowles Foundation Discussion Papers 2134R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2020.
    8. 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.
    9. 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).
    10. Lopomo Beteto Wegner, Danilo, 2024. "Central bank intervention and financial bubbles," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1-19.
    11. Hirota, Shinichi, 2023. "Money supply, opinion dispersion, and stock prices," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 1286-1310.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.

  17. 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. Steven N. Kaplan & Morten Sorensen & Anastasia A. Zakolyukina, 2020. "What Is CEO Overconfidence? Evidence from Executive Assessments," NBER Working Papers 27853, National Bureau of Economic Research, Inc.
    2. 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).
    3. 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).
    4. 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).
    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. King-King Li, 2022. "Memory Recall Bias of Overconfident and Underconfident Individuals after Feedback," Post-Print hal-03841235, HAL.
    7. 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).
    8. King-King Li, 2022. "Memory Recall Bias of Overconfident and Underconfident Individuals after Feedback," Games, MDPI, vol. 13(3), pages 1-15, May.
    9. 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.
    10. 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.

  18. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

  19. 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. 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.
    2. 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.
    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. 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).

  20. 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. 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).
    2. Zhihua Li & Songfa Zhong, 2023. "Reference Dependence in Intertemporal Preference," Management Science, INFORMS, vol. 69(1), pages 475-490, January.
    3. Guan, Lijun & Huang, Zuhui & Jin, Shaosheng, 2022. "Time preference and nutrition label use: Evidence from China," Economics & Human Biology, Elsevier, vol. 47(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. Zeng, Qiyan & Yu, Xiaohua & Bao, Te, 2020. "Memory utility, food consumption and obesity," China Economic Review, Elsevier, vol. 62(C).

  21. 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.
  22. 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.
  23. 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.
  24. 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. Mikhail Anufriev & John Duffy & Valentyn Panchenko, 2019. "Planar Beauty Contests," Working Paper Series 2019/10, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Yohanes E. Riyanto & Jiahua Zhu, 2023. "Predicting the unpredictable : New experimental evidence on forecasting random walks," Post-Print hal-04376053, HAL.
    3. 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.
    4. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    5. 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).
    6. John Duffy, 2022. "Why macroeconomics needs experimental evidence," The Japanese Economic Review, Springer, vol. 73(1), pages 5-29, January.
    7. 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.
    8. Evans, George & Gibbs, Christopher & McGough, Bruce, 2021. "A Unified Model of Learning to Forecast," Working Papers 2021-10, University of Sydney, School of Economics.
    9. Hommes, C.H. & Massaro, D. & Salle, I., 2015. "Monetary and Fiscal Policy Design at the Zero Lower Bound - Evidence from the Lab," CeNDEF Working Papers 15-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    10. 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).
    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.
    12. Biagio Bossone, 2025. "The Essential Role of Conventional Beliefs in Economics: Keynesian Unemployment Despite Price Flexibility," Working Papers PKWP2504, Post Keynesian Economics Society (PKES).

  25. 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.
  26. 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, 2024. "Algorithmic Trading, Price Efficiency and Welfare: An Experimental Approach," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302411, Verein für Socialpolitik / German Economic Association.
    2. 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.
    3. Zhuo Wenjun, 2023. "Circulation Expectations, Farmer Trust, and Farmers’ Contract Choice Behavior," Land, MDPI, vol. 12(8), pages 1-15, August.
    4. Neugebauer, Tibor & Shachat, Jason & Szymczak, Wiebke, 2023. "A test of the Modigliani-Miller theorem, dividend policy and algorithmic arbitrage in experimental asset markets," Journal of Banking & Finance, Elsevier, vol. 154(C).
    5. Jacob-Leal, Sandrine & Hanaki, Nobuyuki, 2024. "Algorithmic trading, what if it is just an illusion? Evidence from experimental asset markets," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 112(C).

  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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