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Learning, Forecasting and Optimizing: An Experimental Study

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Cited by:

  1. Anita Kopányi-Peuker & Matthias Weber & Lauren Cohen, 2021. "Experience Does Not Eliminate Bubbles: Experimental Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 34(9), pages 4450-4485.
  2. 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.
  3. 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.
  4. Hommes, Cars & Huber, Stefanie J. & Minina, Daria & Salle, Isabelle, 2024. "Learning in a complex world: Insights from an OLG lab experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 813-837.
  5. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
  6. Anufriev, Mikhail & Chernulich, Aleksei & Tuinstra, Jan, 2022. "Asset price volatility and investment horizons: An experimental investigation," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 19-48.
  7. 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.
  8. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena, 2020. "Heuristic Switching Model and Exploration-Exploitation Algorithm to Describe Long-Run Expectations in LtFEs: a Comparison," Computational Economics, Springer;Society for Computational Economics, vol. 56(3), pages 623-658, October.
  9. Camille Cornand & Frank Heinemann, 2018. "Experiments on macroeconomics: methods and applications," Working Papers 1810, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
  10. Bulutay, Muhammed & Cornand, Camille & Zylbersztejn, Adam, 2022. "Learning to deal with repeated shocks under strategic complementarity: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1318-1343.
  11. Berardi, Michele, 2022. "Beliefs asymmetry and price stability in a cobweb model," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 401-415.
  12. Wolfgang Luhan & Johann Scharler, 2013. "Monetary Policy, Inflation Illusion and the Taylor Principle: An Experimental Study," Working Papers 2013-03, Faculty of Economics and Statistics, Universität Innsbruck.
  13. 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.
  14. 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.
  15. 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).
  16. 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.
  17. 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.
  18. Camille Cornand & Paul Hubert, 2020. "On the external validity of experimental inflation forecasts," SciencePo Working papers Main hal-02894262, HAL.
  19. 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.
  20. Annarita Colasante & Simone Alfarano & Eva Camacho-Cuena & Mauro Gallegati, 2020. "Long-run expectations in a learning-to-forecast experiment: a simulation approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 75-116, January.
  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.
  22. Pfajfar, Damjan & Žakelj, Blaž, 2014. "Experimental evidence on inflation expectation formation," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 147-168.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. Backhaus, Teresa & Huck, Steffen & Leutgeb, Johannes & Oprea, Ryan, 2023. "Learning through period and physical time," Games and Economic Behavior, Elsevier, vol. 141(C), pages 21-29.
  28. Bao, Te & Duffy, John, 2016. "Adaptive versus eductive learning: Theory and evidence," European Economic Review, Elsevier, vol. 83(C), pages 64-89.
  29. Camille Cornand & Frank Heinemann, 2018. "Experiments on macroeconomics: methods and applications," Working Papers halshs-01809937, HAL.
  30. 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.
  31. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
  32. repec:hal:spmain:info:hdl:2441/7t8isspkbs8hk8kol9kk9sjdl6 is not listed on IDEAS
  33. Arifovic, Jasmina & Hommes, Cars & Salle, Isabelle, 2019. "Learning to believe in simple equilibria in a complex OLG economy - evidence from the lab," Journal of Economic Theory, Elsevier, vol. 183(C), pages 106-182.
  34. 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.
  35. 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.
  36. 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.
  37. Cimadomo, Jacopo & Claeys, Peter & Poplawski-Ribeiro, Marcos, 2016. "How do experts forecast sovereign spreads?," European Economic Review, Elsevier, vol. 87(C), pages 216-235.
  38. Steiger, Sören & Pelster, Matthias, 2020. "Social interactions and asset pricing bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 503-522.
  39. 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.
  40. 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.
  41. 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.
  42. Bao, T. & Duffy, J., 2014. "Adaptive vs. eductive learning," Research Report 14002-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  43. 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.
  44. 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.
  45. 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.
  46. John Duffy & Te Bao, 2013. "Adaptive vs. Eductive Learning: Theory and Evidence," Working Paper 518, Department of Economics, University of Pittsburgh, revised Dec 2013.
  47. 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.
  48. repec:zbw:rwirep:0402 is not listed on IDEAS
  49. Piero Mazzarisi & Fabrizio Lillo & Stefano Marmi, 2018. "When panic makes you blind: a chaotic route to systemic risk," Papers 1805.00785, arXiv.org.
  50. 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).
  51. Ryan Rholes & Luba Petersen, 2020. "Should central banks communicate uncertainty in their projections?," Discussion Papers dp20-01, Department of Economics, Simon Fraser University.
  52. 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.
  53. 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).
  54. Irenaeus Wolff & Dominik Bauer, 2018. "Elusive Beliefs: Why Uncertainty Leads to Stochastic Choice and Errors," TWI Research Paper Series 111, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
  55. 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.
  56. 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).
  57. 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.
  58. 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.
  59. Jiaoying Pei, 2024. "Reference Model Based Learning in Expectation Formation: Experimental Evidence," Papers 2404.08908, arXiv.org, revised May 2024.
  60. Zhou Lu & Te Bao & Xiaohua Yu, 2021. "Gender and Bubbles in Experimental Markets with Positive and Negative Expectation Feedback," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1307-1326, April.
  61. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
  62. repec:spo:wpmain:info:hdl:2441/7t8isspkbs8hk8kol9kk9sjdl6 is not listed on IDEAS
  63. 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).
  64. 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.
  65. 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.
  66. 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.
  67. Wolfgang J. Luhan & Johann Scharler, 2013. "Monetary Policy, Inflation Illusion and the Taylor Principle – An Experimental Study," Ruhr Economic Papers 0402, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
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