IDEAS home Printed from https://ideas.repec.org/f/pbe224.html

Michele Berardi

Personal Details

First Name:Michele
Middle Name:
Last Name:Berardi
Suffix:
RePEc Short-ID:pbe224
[This author has chosen not to make the email address public]
http://sites.google.com/site/micheleberardi/
Terminal Degree:2005 Laboratory of Economics and Management (LEM); Scuola Superiore Sant'Anna (from RePEc Genealogy)

Affiliation

Department of Economics
School of Social Sciences
University of Manchester

Manchester, United Kingdom
https://www.socialsciences.manchester.ac.uk/economics/
RePEc:edi:semanuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Berardi, Michele, 2021. "Beliefs asymmetry and price stability in a cobweb model," MPRA Paper 106920, University Library of Munich, Germany.
  2. Berardi, Michele, 2021. "Uncertainty, sentiments and time-varying risk premia," MPRA Paper 106922, University Library of Munich, Germany.
  3. Berardi, Michele, 2020. "Learning from prices: information aggregation and accumulation in an asset market," MPRA Paper 102139, University Library of Munich, Germany.
  4. Michele Berardi, 2020. "Learning from Prices: Information Aggregation and Accumulation in an Asset Price Model," Economics Discussion Paper Series 2009, Economics, The University of Manchester.
  5. Berardi, Michele, 2020. "Uncertainty and sentiments in asset prices," MPRA Paper 103798, University Library of Munich, Germany.
  6. Berardi, Michele, 2019. "A probabilistic interpretation of the constant gain algorithm," MPRA Paper 94023, University Library of Munich, Germany.
  7. Michele Berardi, 2018. "Information aggregation and learning in a dynamic asset pricing model," Centre for Growth and Business Cycle Research Discussion Paper Series 241, Economics, The University of Manchester.
  8. Michele Berardi, 2018. "Discrete beliefs space and equilibrium: a cautionary note," Centre for Growth and Business Cycle Research Discussion Paper Series 242, Economics, The University of Manchester.
  9. Michele Berardi & Jaqueson K Galimberti, 2017. "Smoothing-based Initialization for Learning-to-Forecast Algorithms," KOF Working papers 17-425, KOF Swiss Economic Institute, ETH Zurich.
  10. Michele Berardi & Jaqueson K Galimberti, 2016. "On the Initialization of Adaptive Learning in Macroeconomic Models," KOF Working papers 16-422, KOF Swiss Economic Institute, ETH Zurich.
  11. Michele Berardi, 2016. "Herding through learning in an asset pricing model," Centre for Growth and Business Cycle Research Discussion Paper Series 223, Economics, The University of Manchester.
  12. Michele Berardi & Jaqueson K. Galimberti, 2015. "Empirical Calibration of Adaptive Learning," KOF Working papers 15-392, KOF Swiss Economic Institute, ETH Zurich.
  13. Michele Berardi, 2015. "Expectations formation under adaptive learning and evolutionary dynamics," Centre for Growth and Business Cycle Research Discussion Paper Series 206, Economics, The University of Manchester.
  14. Michele Berardi, 2015. "Prices, fundamental values and learning," Centre for Growth and Business Cycle Research Discussion Paper Series 214, Economics, The University of Manchester.
  15. Michele Bernardi & Jaqueson K. Galimberti, 2014. "A Note on the Representative Adaptive Learning Algorithm," KOF Working papers 14-356, KOF Swiss Economic Institute, ETH Zurich.
  16. Michele Berardi, 2013. "On the fragility of sunspot equilibria under learning and evolutionary dynamics," Centre for Growth and Business Cycle Research Discussion Paper Series 186, Economics, The University of Manchester.
  17. Michele Berardi & Jaqueson K. Galimberti, 2012. "A note on exact correspondences between adaptive learning algorithms and the Kalman filter," Centre for Growth and Business Cycle Research Discussion Paper Series 170, Economics, The University of Manchester.
  18. Michele Berardi, 2012. "Endogenous time-varying risk aversion and asset return," Centre for Growth and Business Cycle Research Discussion Paper Series 168, Economics, The University of Manchester.
  19. Michele Berardi & Jaqueson K. Galimberti, 2012. "On the plausibility of adaptive learning in macroeconomics: A puzzling conflict in the choice of the representative algorithm," Centre for Growth and Business Cycle Research Discussion Paper Series 177, Economics, The University of Manchester.
  20. Michele Berardi & Jaqueson K. Galimberti, 2012. "On the initialization of adaptive learning algorithms: A review of methods and a new smoothing-based routine," Centre for Growth and Business Cycle Research Discussion Paper Series 175, Economics, The University of Manchester.
  21. Michele Berardi, 2011. "Strategic interactions, incomplete information and learning," Centre for Growth and Business Cycle Research Discussion Paper Series 157, Economics, The University of Manchester.
  22. Michele Berardi, 2011. "Fundamentalists vs. chartists: Learning and predictor choice dynamics," Post-Print hal-00796301, HAL.
  23. Tiziana Assenza & Michele Berardi & Domenico Delli Gatti, 2011. "Was Bernanke Right? Targeting Asset Prices may not be a Good Idea after all," CESifo Working Paper Series 3641, CESifo.
  24. Michele Berardi, 2011. "On the stability properties of optimal interest rules under learning," Centre for Growth and Business Cycle Research Discussion Paper Series 155, Economics, The University of Manchester.
  25. Michele Berardi, 2010. "Heterogeneous learning dynamics and speed of convergence," Centre for Growth and Business Cycle Research Discussion Paper Series 148, Economics, The University of Manchester.
  26. Michele Berardi & John Duffy, 2010. "Real-Time, Adaptive Learning via Parameterized Expectations," Centre for Growth and Business Cycle Research Discussion Paper Series 147, Economics, The University of Manchester.
  27. Assenza, T. & Berardi, M. & Delli Gatti, D., 2009. "Asset Prices and Monetary Policy: A New View of the Cost Channel," CeNDEF Working Papers 09-17, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  28. Michele Berardi, 2009. "Escape Dynamics and Policy Specification," Centre for Growth and Business Cycle Research Discussion Paper Series 117, Economics, The University of Manchester.
  29. Michele Berardi, 2009. "Expectations, learning and policy rule," Centre for Growth and Business Cycle Research Discussion Paper Series 112, Economics, The University of Manchester.
  30. Berardi, Michele, 2008. "Should monetary policy respond to private sector expectations?," MPRA Paper 19285, University Library of Munich, Germany.
  31. Tiziana Assenzay & Michele Berardi, 2008. "Learning in a Credit Economy," Centre for Growth and Business Cycle Research Discussion Paper Series 100, Economics, The University of Manchester.
  32. Berardi, Michele, 2007. "Beyond the static money multiplier: in search of a dynamic theory of money," MPRA Paper 19287, University Library of Munich, Germany.
  33. Michele Berardi, 2006. "Monetary policy with heterogeneous and misspecified expectations," Centre for Growth and Business Cycle Research Discussion Paper Series 81, Economics, The University of Manchester.
  34. Michele Berardi, 2006. "Heterogeneity and misspecifications in learning," Economics Discussion Paper Series 0636, Economics, The University of Manchester.

Articles

  1. Berardi, Michele, 2026. "Uncertainty, sentiments and time-varying risk premia," The North American Journal of Economics and Finance, Elsevier, vol. 84(C).
  2. Berardi, Michele, 2022. "Uncertainty and sentiments in asset prices," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 498-516.
  3. Berardi, Michele, 2022. "Beliefs asymmetry and price stability in a cobweb model," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 401-415.
  4. Michele Berardi, 2021. "Learning from prices: information aggregation and accumulation in an asset market," Annals of Finance, Springer, vol. 17(1), pages 45-77, March.
  5. Michele Berardi, 2021. "Discrete beliefs space and equilibrium: a cautionary note," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 505-532, April.
  6. Michele Berardi, 2020. "A probabilistic interpretation of the constant gain learning algorithm," Bulletin of Economic Research, Wiley Blackwell, vol. 72(4), pages 393-403, October.
  7. Berardi, Michele & Galimberti, Jaqueson K., 2019. "Smoothing-Based Initialization For Learning-To-Forecast Algorithms," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 1008-1023, April.
  8. Berardi, Michele & Galimberti, Jaqueson K., 2017. "Empirical calibration of adaptive learning," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 219-237.
  9. Berardi, Michele & Galimberti, Jaqueson K., 2017. "On the initialization of adaptive learning in macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 26-53.
  10. Michele Berardi, 2016. "Endogenous time-varying risk aversion and asset returns," Journal of Evolutionary Economics, Springer, vol. 26(3), pages 581-601, July.
  11. Berardi, Michele, 2015. "On the fragility of sunspot equilibria under learning and evolutionary dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 251-265.
  12. Berardi, Michele, 2015. "Learning and coordination with dispersed information," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 19-33.
  13. Berardi, Michele & Duffy, John, 2015. "Real-Time, Adaptive Learning Via Parameterized Expectations," Macroeconomic Dynamics, Cambridge University Press, vol. 19(2), pages 245-269, March.
  14. Berardi, Michele, 2015. "Time-varying policy rule under learning," Economics Letters, Elsevier, vol. 129(C), pages 25-28.
  15. Berardi, Michele & Galimberti, Jaqueson K., 2014. "A note on the representative adaptive learning algorithm," Economics Letters, Elsevier, vol. 124(1), pages 104-107.
  16. Berardi, Michele, 2013. "Escape Dynamics And Policy Specification," Macroeconomic Dynamics, Cambridge University Press, vol. 17(1), pages 123-142, January.
  17. Berardi, Michele & Galimberti, Jaqueson K., 2013. "A note on exact correspondences between adaptive learning algorithms and the Kalman filter," Economics Letters, Elsevier, vol. 118(1), pages 139-142.
  18. Berardi Michele, 2012. "Heterogeneous Learning Dynamics and Speed of Convergence," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-20, October.
  19. Berardi, Michele, 2011. "Fundamentalists vs. chartists: Learning and predictor choice dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 35(5), pages 776-792, May.
  20. Michele Berardi, 2009. "Monetary Policy with Heterogeneous and Misspecified Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(1), pages 79-100, February.
  21. Berardi, Michele, 2009. "Heterogeneous expectations, sunspot equilibria and their fragility," Economics Letters, Elsevier, vol. 105(3), pages 276-279, December.
  22. Assenza, Tiziana & Berardi, Michele, 2009. "Learning in a credit economy," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1159-1169, May.
  23. Berardi, Michele, 2007. "Heterogeneity and misspecifications in learning," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3203-3227, October.
  24. Berardi, Michele & Duffy, John, 2007. "The value of central bank transparency when agents are learning," European Journal of Political Economy, Elsevier, vol. 23(1), pages 9-29, March.

Chapters

  1. Tiziana Assenza & Michele Berardi & Domenico Delli Gatti, 2015. "Was Bernanke Right? Targeting Asset Prices Maynotbe a Good Idea After All," International Symposia in Economic Theory and Econometrics, in: Monetary Policy in the Context of the Financial Crisis: New Challenges and Lessons, volume 24, pages 451-496, Emerald Group Publishing Limited.
  2. Michele Berardi, 2007. "Beyond the Static Money Multiplier: In Search of a Dynamic Theory of Money," Lecture Notes in Economics and Mathematical Systems, in: Andrea Consiglio (ed.), Artificial Markets Modeling, chapter 1, pages 3-16, Springer.

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. Berardi, Michele, 2021. "Uncertainty, sentiments and time-varying risk premia," MPRA Paper 106922, University Library of Munich, Germany.

    Cited by:

    1. Berardi, Michele, 2022. "Uncertainty and sentiments in asset prices," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 498-516.

  2. Berardi, Michele, 2020. "Learning from prices: information aggregation and accumulation in an asset market," MPRA Paper 102139, University Library of Munich, Germany.

    Cited by:

    1. Berta Marcos Ceron & Manuel Monge, 2024. "Luxury goods and services in recession periods. Time trends and persistence analysis," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(6), pages 588-595, December.

  3. Berardi, Michele, 2020. "Uncertainty and sentiments in asset prices," MPRA Paper 103798, University Library of Munich, Germany.

    Cited by:

    1. Giraldo, Carlos & Giraldo, Iader & Gomez-Gonzalez, Jose E. & Uribe, Jorge M., 2025. "US uncertainty shocks, credit, production, and prices: The case of fourteen Latin American countries," Research in International Business and Finance, Elsevier, vol. 78(C).
    2. Berardi, Michele, 2021. "Uncertainty, sentiments and time-varying risk premia," MPRA Paper 106922, University Library of Munich, Germany.
    3. Xiaozhen Jing & Dezhong Xu & Bin Li & Tarlok Singh, 2024. "Does the U.S. extreme indicator matter in stock markets? International evidence," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-27, December.

  4. Berardi, Michele, 2019. "A probabilistic interpretation of the constant gain algorithm," MPRA Paper 94023, University Library of Munich, Germany.

    Cited by:

    1. Cole, Stephen J. & Milani, Fabio, 2021. "Heterogeneity in individual expectations, sentiment, and constant-gain learning," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 627-650.

  5. Michele Berardi & Jaqueson K Galimberti, 2017. "Smoothing-based Initialization for Learning-to-Forecast Algorithms," KOF Working papers 17-425, KOF Swiss Economic Institute, ETH Zurich.

    Cited by:

    1. Berardi, Michele & Galimberti, Jaqueson K., 2017. "On the initialization of adaptive learning in macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 26-53.

  6. Michele Berardi & Jaqueson K Galimberti, 2016. "On the Initialization of Adaptive Learning in Macroeconomic Models," KOF Working papers 16-422, KOF Swiss Economic Institute, ETH Zurich.

    Cited by:

    1. Panovska, Irina & Ramamurthy, Srikanth, 2022. "Decomposing the output gap with inflation learning," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
    2. Cole, Stephen J. & Milani, Fabio, 2021. "Heterogeneity in individual expectations, sentiment, and constant-gain learning," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 627-650.
    3. Michele Berardi & Jaqueson K. Galimberti, 2015. "Empirical Calibration of Adaptive Learning," KOF Working papers 15-392, KOF Swiss Economic Institute, ETH Zurich.
    4. Michele Berardi & Jaqueson K Galimberti, 2017. "Smoothing-based Initialization for Learning-to-Forecast Algorithms," KOF Working papers 17-425, KOF Swiss Economic Institute, ETH Zurich.
    5. Jaqueson Galimberti, 2021. "Initial Beliefs Uncertainty and Information Weighting in the Estimation of Models with Adaptive Learning," Working Papers 2021-01, Auckland University of Technology, Department of Economics.
    6. Lam, Eddery & Ojede, Andrew, 2025. "Exchange rate movements and oil price expectation shocks in selected African countries: Evidence from a recursive methodology," Energy Economics, Elsevier, vol. 148(C).
    7. Berardi, Michele & Galimberti, Jaqueson K., 2017. "On the initialization of adaptive learning in macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 26-53.

  7. Michele Berardi & Jaqueson K. Galimberti, 2015. "Empirical Calibration of Adaptive Learning," KOF Working papers 15-392, KOF Swiss Economic Institute, ETH Zurich.

    Cited by:

    1. Berardi, Michele, 2019. "A probabilistic interpretation of the constant gain algorithm," MPRA Paper 94023, University Library of Munich, Germany.
    2. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    3. Stefan Nagel & Zhengyang Xu, 2019. "Asset Pricing with Fading Memory," NBER Working Papers 26255, National Bureau of Economic Research, Inc.
    4. Jingru Jia & Zehua Yuan, 2024. "An Experimental Study of Competitive Market Behavior Through LLMs," Papers 2409.08357, arXiv.org, revised Nov 2024.
    5. Mayer, Alexander, 2023. "Two-step estimation in linear regressions with adaptive learning," Statistics & Probability Letters, Elsevier, vol. 195(C).
    6. Cole, Stephen J. & Milani, Fabio, 2021. "Heterogeneity in individual expectations, sentiment, and constant-gain learning," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 627-650.
    7. Kobielarz, Michal, 2018. "The economics of monetary unions," Other publications TiSEM b0293536-68ec-4905-bffd-6, Tilburg University, School of Economics and Management.
    8. Aslanidis, Nektarios & Koursaros, Demetris & Otto, Glenn, 2024. "Asymmetry in inflation persistence under inflation targeting," The Quarterly Review of Economics and Finance, Elsevier, vol. 98(C).
    9. Duffy, John & Shin, Michael, 2024. "Heterogeneous experience and constant-gain learning," Journal of Economic Dynamics and Control, Elsevier, vol. 164(C).
    10. Jaqueson Galimberti, 2021. "Initial Beliefs Uncertainty and Information Weighting in the Estimation of Models with Adaptive Learning," Working Papers 2021-01, Auckland University of Technology, Department of Economics.
    11. Koursaros, Demetris, 2019. "Learning expectations using multi-period forecasts," Journal of Economics and Business, Elsevier, vol. 102(C), pages 1-25.
    12. Alexander Mayer & Davide Raggi, 2025. "Estimation and inference in models with multiple behavioural equilibria," Papers 2512.04541, arXiv.org, revised Mar 2026.
    13. Michele Berardi, 2018. "Information aggregation and learning in a dynamic asset pricing model," Centre for Growth and Business Cycle Research Discussion Paper Series 241, Economics, The University of Manchester.
    14. Michele Berardi, 2020. "A probabilistic interpretation of the constant gain learning algorithm," Bulletin of Economic Research, Wiley Blackwell, vol. 72(4), pages 393-403, October.
    15. Michele Berardi, 2016. "Herding through learning in an asset pricing model," Centre for Growth and Business Cycle Research Discussion Paper Series 223, Economics, The University of Manchester.
    16. Galimberti, Jaqueson K., 2019. "An approximation of the distribution of learning estimates in macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 102(C), pages 29-43.
    17. Cars Hommes & Kostas Mavromatis & Tolga Özden & Mei Zhu, 2023. "Behavioral learning equilibria in New Keynesian models," Quantitative Economics, Econometric Society, vol. 14(4), pages 1401-1445, November.
    18. Alexander Mayer, 2022. "Estimation and inference in adaptive learning models with slowly decreasing gains," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(5), pages 720-749, September.

  8. Michele Berardi, 2015. "Prices, fundamental values and learning," Centre for Growth and Business Cycle Research Discussion Paper Series 214, Economics, The University of Manchester.

    Cited by:

    1. Donato Masciandaro, 2014. "Macroeconomic Ideas, Business Cycles and Economic Policies: One Size Doesn’t Fit All - A Primer," BAFFI CAREFIN Working Papers 14161, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    2. Donato Masciandaro, 2018. "Central Banking and Macroeconomic Ideas: Economics, Politics and History," BAFFI CAREFIN Working Papers 1858, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.

  9. Michele Bernardi & Jaqueson K. Galimberti, 2014. "A Note on the Representative Adaptive Learning Algorithm," KOF Working papers 14-356, KOF Swiss Economic Institute, ETH Zurich.

    Cited by:

    1. Panovska, Irina & Ramamurthy, Srikanth, 2022. "Decomposing the output gap with inflation learning," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
    2. Michele Berardi & Jaqueson K. Galimberti, 2015. "Empirical Calibration of Adaptive Learning," KOF Working papers 15-392, KOF Swiss Economic Institute, ETH Zurich.
    3. Berardi, Michele & Galimberti, Jaqueson K., 2017. "On the initialization of adaptive learning in macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 26-53.
    4. Tatiana Damjanovic & Sarunas Girdenas & Keqing Liu, 2015. "Stationarity of Econometric Learning with Bounded Memory and a Predicted State Variable," Discussion Papers 1502, University of Exeter, Department of Economics.
    5. Galimberti, Jaqueson K., 2019. "An approximation of the distribution of learning estimates in macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 102(C), pages 29-43.
    6. Jaqueson K. Galimberti, 2020. "Information weighting under least squares adaptive learning," Working Papers 2020-04, Auckland University of Technology, Department of Economics.

  10. Michele Berardi, 2013. "On the fragility of sunspot equilibria under learning and evolutionary dynamics," Centre for Growth and Business Cycle Research Discussion Paper Series 186, Economics, The University of Manchester.

    Cited by:

    1. Michele Berardi, 2015. "Expectations formation under adaptive learning and evolutionary dynamics," Centre for Growth and Business Cycle Research Discussion Paper Series 206, Economics, The University of Manchester.
    2. Michele Berardi, 2018. "Discrete beliefs space and equilibrium: a cautionary note," Centre for Growth and Business Cycle Research Discussion Paper Series 242, Economics, The University of Manchester.
    3. Chakrabarti, Anindya S. & Lahkar, Ratul, 2017. "Productivity dispersion and output fluctuations: An evolutionary model," Journal of Economic Behavior & Organization, Elsevier, vol. 137(C), pages 339-360.

  11. Michele Berardi & Jaqueson K. Galimberti, 2012. "A note on exact correspondences between adaptive learning algorithms and the Kalman filter," Centre for Growth and Business Cycle Research Discussion Paper Series 170, Economics, The University of Manchester.

    Cited by:

    1. Berardi, Michele, 2019. "A probabilistic interpretation of the constant gain algorithm," MPRA Paper 94023, University Library of Munich, Germany.
    2. Schaefer, Daniel & Singleton, Carl, 2018. "Unemployment and econometric learning," Research in Economics, Elsevier, vol. 72(2), pages 277-296.
    3. Michele Berardi & Jaqueson K. Galimberti, 2015. "Empirical Calibration of Adaptive Learning," KOF Working papers 15-392, KOF Swiss Economic Institute, ETH Zurich.
    4. Michele Berardi & Jaqueson K Galimberti, 2017. "Smoothing-based Initialization for Learning-to-Forecast Algorithms," KOF Working papers 17-425, KOF Swiss Economic Institute, ETH Zurich.
    5. Marine Charlotte André & Meixing Dai, 2016. "Learning, robust monetray policy and the merit of precaution," Working Papers of BETA 2016-54, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    6. Jaqueson Galimberti, 2021. "Initial Beliefs Uncertainty and Information Weighting in the Estimation of Models with Adaptive Learning," Working Papers 2021-01, Auckland University of Technology, Department of Economics.
    7. Michele Berardi & Jaqueson K. Galimberti, 2012. "On the plausibility of adaptive learning in macroeconomics: A puzzling conflict in the choice of the representative algorithm," Centre for Growth and Business Cycle Research Discussion Paper Series 177, Economics, The University of Manchester.
    8. Berardi, Michele & Galimberti, Jaqueson K., 2017. "On the initialization of adaptive learning in macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 26-53.
    9. Michele Berardi, 2020. "A probabilistic interpretation of the constant gain learning algorithm," Bulletin of Economic Research, Wiley Blackwell, vol. 72(4), pages 393-403, October.
    10. Marine Charlotte André & Meixing Dai, 2015. "Central bank accountability under adaptive learning," Working Papers of BETA 2015-32, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    11. Berardi, Michele & Galimberti, Jaqueson K., 2013. "A note on exact correspondences between adaptive learning algorithms and the Kalman filter," Economics Letters, Elsevier, vol. 118(1), pages 139-142.
    12. Galimberti, Jaqueson K., 2019. "An approximation of the distribution of learning estimates in macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 102(C), pages 29-43.
    13. Michele Berardi & Jaqueson K. Galimberti, 2012. "On the initialization of adaptive learning algorithms: A review of methods and a new smoothing-based routine," Centre for Growth and Business Cycle Research Discussion Paper Series 175, Economics, The University of Manchester.

  12. Michele Berardi, 2012. "Endogenous time-varying risk aversion and asset return," Centre for Growth and Business Cycle Research Discussion Paper Series 168, Economics, The University of Manchester.

    Cited by:

    1. Zhang, Qian & Li, Zeguang, 2021. "Time-varying risk attitude and the foreign exchange market behavior," Research in International Business and Finance, Elsevier, vol. 57(C).

  13. Michele Berardi & Jaqueson K. Galimberti, 2012. "On the plausibility of adaptive learning in macroeconomics: A puzzling conflict in the choice of the representative algorithm," Centre for Growth and Business Cycle Research Discussion Paper Series 177, Economics, The University of Manchester.

    Cited by:

    1. Schaefer, Daniel & Singleton, Carl, 2018. "Unemployment and econometric learning," Research in Economics, Elsevier, vol. 72(2), pages 277-296.
    2. Markiewicz, Agnieszka & Pick, Andreas, 2014. "Adaptive learning and survey data," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 685-707.
    3. Valverde-Ambriz, Ismael D., 2026. "Dynamic central bank credibility: a Kalman Filter–Recursive Least Squares approach for emerging markets," MPRA Paper 129329, University Library of Munich, Germany.

  14. Michele Berardi & Jaqueson K. Galimberti, 2012. "On the initialization of adaptive learning algorithms: A review of methods and a new smoothing-based routine," Centre for Growth and Business Cycle Research Discussion Paper Series 175, Economics, The University of Manchester.

    Cited by:

    1. Michele Berardi & Jaqueson K Galimberti, 2017. "Smoothing-based Initialization for Learning-to-Forecast Algorithms," KOF Working papers 17-425, KOF Swiss Economic Institute, ETH Zurich.
    2. Michele Berardi & Jaqueson K. Galimberti, 2012. "On the plausibility of adaptive learning in macroeconomics: A puzzling conflict in the choice of the representative algorithm," Centre for Growth and Business Cycle Research Discussion Paper Series 177, Economics, The University of Manchester.
    3. Markiewicz, Agnieszka & Pick, Andreas, 2014. "Adaptive learning and survey data," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 685-707.
    4. Michele Bernardi & Jaqueson K. Galimberti, 2014. "A Note on the Representative Adaptive Learning Algorithm," KOF Working papers 14-356, KOF Swiss Economic Institute, ETH Zurich.

  15. Michele Berardi, 2011. "Fundamentalists vs. chartists: Learning and predictor choice dynamics," Post-Print hal-00796301, HAL.

    Cited by:

    1. Rhys ap Gwilym, 2010. "The Monetary Policy Implications of Behavioural Asset Bubbles," Working Papers 10011, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    2. Xing Gao & Daniel Ladley, 2022. "Noise trading and market stability," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1283-1301, October.
    3. Michele Berardi, 2011. "Heterogeneous sunspots solutions under learning and replicator dynamics," Centre for Growth and Business Cycle Research Discussion Paper Series 160, Economics, The University of Manchester.
    4. Berardi, Michele, 2015. "On the fragility of sunspot equilibria under learning and evolutionary dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 251-265.
    5. Thomas Holtfort, 2019. "From standard to evolutionary finance: a literature survey," Management Review Quarterly, Springer, vol. 69(2), pages 207-232, June.
    6. Thierry Warin & Aleksandar Stojkov, 2021. "Machine Learning in Finance: A Metadata-Based Systematic Review of the Literature," JRFM, MDPI, vol. 14(7), pages 1-31, July.
    7. Rhys ap Gwilym, 2013. "The Monetary Policy Implications of Behavioral Asset Bubbles," Southern Economic Journal, John Wiley & Sons, vol. 80(1), pages 252-270, July.

  16. Tiziana Assenza & Michele Berardi & Domenico Delli Gatti, 2011. "Was Bernanke Right? Targeting Asset Prices may not be a Good Idea after all," CESifo Working Paper Series 3641, CESifo.

    Cited by:

    1. Marine Charlotte André & Meixing Dai, 2017. "Learning, optimal monetary delegation and stock prices dynamics," Working Papers of BETA 2017-37, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    2. Machado, Vicente da Gama, 2013. "Monetary policy rules, asset prices and adaptive learning," Journal of Financial Stability, Elsevier, vol. 9(3), pages 251-258.
    3. Anufriev, Mikhail & Lamantia, Fabio & Radi, Davide & Tichy, Tomas, 2025. "Leaning against the wind in the New Keynesian model with heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).

  17. Michele Berardi & John Duffy, 2010. "Real-Time, Adaptive Learning via Parameterized Expectations," Centre for Growth and Business Cycle Research Discussion Paper Series 147, Economics, The University of Manchester.

    Cited by:

    1. Michele Berardi, 2010. "Heterogeneous learning dynamics and speed of convergence," Centre for Growth and Business Cycle Research Discussion Paper Series 148, Economics, The University of Manchester.
    2. Yutaka Kurihara, 2017. "Recent monetary policy effects on Japanese macroeconomy," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 5(5), pages 12-17, October.
    3. Casares, Miguel & Vázquez, Jesús, 2016. "Data Revisions In The Estimation Of Dsge Models," Macroeconomic Dynamics, Cambridge University Press, vol. 20(7), pages 1683-1716, October.
    4. Yutaka Kurihara, 2016. "Can the Disparity between GDP and GDP Forecast Cause Economic Instability? The Recent Japanese Case," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 2(8), pages 155-160, 08-2016.
    5. Brecht Boone & Ewoud Quaghebeur, 2017. "Real-Time Parameterized Expectations And The Effects Of Government Spending," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 17/939, Ghent University, Faculty of Economics and Business Administration.

  18. Assenza, T. & Berardi, M. & Delli Gatti, D., 2009. "Asset Prices and Monetary Policy: A New View of the Cost Channel," CeNDEF Working Papers 09-17, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Vicente da Gama Machado, 2012. "Monetary Policy, Asset Prices and Adaptive Learning," Working Papers Series 274, Central Bank of Brazil, Research Department.
    2. Yildirim, Yusuf & Sanyal, Anirban, 2021. "Financial Stress and Effect on Real Economy: The Turkish Experience," MPRA Paper 109845, University Library of Munich, Germany.

  19. Michele Berardi, 2009. "Escape Dynamics and Policy Specification," Centre for Growth and Business Cycle Research Discussion Paper Series 117, Economics, The University of Manchester.

    Cited by:

    1. Kolyuzhnov, Dmitri & Bogomolova, Anna & Slobodyan, Sergey, 2014. "Escape dynamics: A continuous-time approximation," Journal of Economic Dynamics and Control, Elsevier, vol. 38(C), pages 161-183.
    2. Mitra, Kaushik & Evans, George W. & Honkapohja, Seppo, 2019. "Fiscal Policy Multipliers In An Rbc Model With Learning," Macroeconomic Dynamics, Cambridge University Press, vol. 23(1), pages 240-283, January.

  20. Berardi, Michele, 2008. "Should monetary policy respond to private sector expectations?," MPRA Paper 19285, University Library of Munich, Germany.

    Cited by:

    1. John Duffy & Wei Xiao, 2007. "The Value of Interest Rate Stabilization Policies When Agents Are Learning," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(8), pages 2041-2056, December.
    2. John Duffy & Wei Xiao, 2006. "The Value of Interest Rate Stabilization Policies When Agents are Learning," Working Paper 284, Department of Economics, University of Pittsburgh, revised Oct 2006.

  21. Tiziana Assenzay & Michele Berardi, 2008. "Learning in a Credit Economy," Centre for Growth and Business Cycle Research Discussion Paper Series 100, Economics, The University of Manchester.

    Cited by:

    1. Pei Kuang, 2013. "Imperfect Knowledge About Asset Prices and Credit Cycles," Discussion Papers 13-02, Department of Economics, University of Birmingham.
    2. Ludwig, Alexander & Zimper, Alexander, 2014. "Biased Bayesian learning with an application to the risk-free rate puzzle," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 79-97.
    3. Assenza, T. & Brock, W.A. & Hommes, C.H., 2012. "Animal Spirits, Heterogeneous Expectations and the Amplification and Duration of Crises," CeNDEF Working Papers 12-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    4. Sergio Santoro, 2011. "Heterogeneity and learning with complete markets," Temi di discussione (Economic working papers) 806, Bank of Italy, Economic Research and International Relations Area.
    5. Pei Kuang, 2012. "Comment on Assenza and Berardi "Learning in a Credit Economy" (2009, JEDC)," Discussion Papers 13-06, Department of Economics, University of Birmingham.
    6. Hommes, Cars, 2011. "The heterogeneous expectations hypothesis: Some evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 1-24, January.
    7. Nakagawa, Ryuichi, 2015. "Learnability of an equilibrium with private information," Journal of Economic Dynamics and Control, Elsevier, vol. 59(C), pages 58-74.
    8. Pei Kuang, 2013. "A Note on Learning in a Credit Economy," Discussion Papers 14-08, Department of Economics, University of Birmingham.
    9. Tiziana Assenza & William Brock & Cars Hommes, 2013. "Animal Spirits, Heterogeneous Expectations and the Emergence of Booms and Busts," DISCE - Working Papers del Dipartimento di Economia e Finanza def007, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    10. Xiao, Wei, 2013. "Learning about monetary policy rules when the housing market matters," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 500-515.

  22. Berardi, Michele, 2007. "Beyond the static money multiplier: in search of a dynamic theory of money," MPRA Paper 19287, University Library of Munich, Germany.

    Cited by:

    1. Yougui Wang & Guobin Zhou & Wanting Xiong, 2013. "A Dynamic Approach to Money Supply," International Journal of Sciences, Office ijSciences, vol. 2(07), pages 47-53, July.

  23. Michele Berardi, 2006. "Monetary policy with heterogeneous and misspecified expectations," Centre for Growth and Business Cycle Research Discussion Paper Series 81, Economics, The University of Manchester.

    Cited by:

    1. Jonathan J Adams, 2023. "Equilibrium Determinacy With Behavioral Expectations," Working Papers 001008, University of Florida, Department of Economics.
    2. Felix Geiger & Oliver Sauter, 2009. "Deflationary vs. Inflationary Expectations - A New-Keynesian Perspective with Heterogeneous Agents and Monetary Believes," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 312/2009, Department of Economics, University of Hohenheim, Germany.
    3. Elias, Christopher J., 2016. "A heterogeneous agent exchange rate model with speculators and non-speculators," Journal of Macroeconomics, Elsevier, vol. 49(C), pages 203-223.
    4. Petar Sorić & Ivana Lolić & Marina Matošec, 2020. "Some properties of inflation expectations in the euro area," Metroeconomica, Wiley Blackwell, vol. 71(1), pages 176-203, February.
    5. Elton Beqiraj & Giovanni Di Bartolomeo & Marco Di Pietro & Carolina Serpieri, 2020. "Bounded rationality and heterogeneous expectations: Euler versus anticipated-utility approach," Journal of Economics, Springer, vol. 130(3), pages 249-273, August.
    6. Nakagawa, Ryuichi, 2015. "Learnability of an equilibrium with private information," Journal of Economic Dynamics and Control, Elsevier, vol. 59(C), pages 58-74.
    7. George W. Evans & Seppo Honkapohja, 2009. "Expectations, Learning and Monetary Policy: An Overview of Recent Research," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 2, pages 027-076, Central Bank of Chile.
    8. Radke, Lucas & Wicknig, Florian, 2021. "Experience-Based Heterogeneity in Expectations and Monetary Policy," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242414, Verein für Socialpolitik / German Economic Association.
    9. Elton Beqiraj & Giovanni Di Bartolomeo & Carolina Serpieri, 2017. "Bounded-rationality and heterogeneous agents: Long or short forecasters?," CIMEO Working Paper Series 132, Centre for Investigation and Modelling of Experimental Observations (CIMEO).
    10. Elias, Christopher J., 2022. "Adaptive learning with heterogeneous expectations in an estimated medium-scale New Keynesian model," Journal of Macroeconomics, Elsevier, vol. 71(C).
    11. Marzioni, Stefano, 2014. "Signals and learning in a new Keynesian economy," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 114-131.
    12. Man-Keung Tang & Mr. Xiangrong Yu, 2011. "Communication of Central Bank Thinking and Inflation Dynamics," IMF Working Papers 2011/209, International Monetary Fund.
    13. Gasteiger, Emanuel, 2016. "Do heterogeneous expectations constitute a challenge for policy interaction?," Discussion Papers 2016/14, Free University Berlin, School of Business & Economics.

  24. Michele Berardi, 2006. "Heterogeneity and misspecifications in learning," Economics Discussion Paper Series 0636, Economics, The University of Manchester.

    Cited by:

    1. Michele Berardi, 2010. "Heterogeneous learning dynamics and speed of convergence," Centre for Growth and Business Cycle Research Discussion Paper Series 148, Economics, The University of Manchester.
    2. Michele Berardi, 2006. "Monetary policy with heterogeneous and misspecified expectations," Centre for Growth and Business Cycle Research Discussion Paper Series 81, Economics, The University of Manchester.
    3. Anufriev, M. & Assenza, T. & Hommes, C.H. & Massaro, D., 2008. "Interest Rate Rules with Heterogeneous Expectations," CeNDEF Working Papers 08-08, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    4. Beqiraj, Elton & Di Bartolomeo, Giovanni & Di Pietro, Marco, 2019. "Beliefs formation and the puzzle of forward guidance power," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 20-32.
    5. Wei Zhao & Yi Lu & Genfu Feng, 2019. "How Many Agents are Rational in China’s Economy? Evidence from a Heterogeneous Agent-Based New Keynesian Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 575-611, August.
    6. Gaetano Gaballo, 2008. "Interactive Learning and Behavioral Sunspots," Department of Economic Policy, Finance and Development (DEPFID) University of Siena 1008, Department of Economic Policy, Finance and Development (DEPFID), University of Siena.
    7. Berardi, Michele, 2009. "Heterogeneous expectations, sunspot equilibria and their fragility," Economics Letters, Elsevier, vol. 105(3), pages 276-279, December.
    8. Michele Berardi, 2015. "Expectations formation under adaptive learning and evolutionary dynamics," Centre for Growth and Business Cycle Research Discussion Paper Series 206, Economics, The University of Manchester.
    9. Assenza, T. & Brock, W.A. & Hommes, C.H., 2012. "Animal Spirits, Heterogeneous Expectations and the Amplification and Duration of Crises," CeNDEF Working Papers 12-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    10. Michael Wegener & Frank Westerhoff, 2012. "Evolutionary competition between prediction rules and the emergence of business cycles within Metzler’s inventory model," Journal of Evolutionary Economics, Springer, vol. 22(2), pages 251-273, April.
    11. Di Bartolomeo, Giovanni & Di Pietro, Marco & Giannini, Bianca, 2016. "Optimal monetary policy in a New Keynesian model with heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 373-387.
    12. Hommes, Cars & Zhu, Mei, 2014. "Behavioral learning equilibria," Journal of Economic Theory, Elsevier, vol. 150(C), pages 778-814.
    13. Arifovic, Jasmina & Dawid, Herbert & Deissenberg, Christophe & Kostyshyna, Olena, 2010. "Learning benevolent leadership in a heterogenous agents economy," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1768-1790, September.
    14. Sergio Santoro, 2011. "Heterogeneity and learning with complete markets," Temi di discussione (Economic working papers) 806, Bank of Italy, Economic Research and International Relations Area.
    15. Assenza, Tiziana & Berardi, Michele, 2009. "Learning in a credit economy," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1159-1169, May.
    16. Massaro, D., 2012. "Regime shifts: early warnings," CeNDEF Working Papers 12-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    17. Elias, Christopher J., 2016. "A heterogeneous agent exchange rate model with speculators and non-speculators," Journal of Macroeconomics, Elsevier, vol. 49(C), pages 203-223.
    18. Lines, Marji & Westerhoff, Frank, 2010. "Inflation expectations and macroeconomic dynamics: The case of rational versus extrapolative expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 34(2), pages 246-257, February.
    19. Nakagawa, Ryuichi, 2015. "Learnability of an equilibrium with private information," Journal of Economic Dynamics and Control, Elsevier, vol. 59(C), pages 58-74.
    20. Honkapohja, Seppo & Evans, George W., 2011. "Learning as a Rational Foundation for Macroeconomics and Finance," CEPR Discussion Papers 8340, Centre for Economic Policy Research.
    21. Berardi, Michele, 2011. "Fundamentalists vs. chartists: Learning and predictor choice dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 35(5), pages 776-792, May.
    22. Lines, Marji & Westerhoff, Frank, 2009. "Effects of inflation expectations on macroeconomic dynamics: Extrapolative versus regressive expectations," BERG Working Paper Series 68, Bamberg University, Bamberg Economic Research Group.
    23. Mikhail Anufriev & Tiziana Assenza & Cars Hommes & Domenico Massaro, 0000. "Interest Rate Rules and Macroeconomic Stability under Heterogeneous Expectations," Tinbergen Institute Discussion Papers 09-040/1, Tinbergen Institute.
    24. Elias, Christopher J., 2016. "Asset pricing with expectation shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 65(C), pages 68-82.
    25. Tiziana Assenza & William Brock & Cars Hommes, 2013. "Animal Spirits, Heterogeneous Expectations and the Emergence of Booms and Busts," DISCE - Working Papers del Dipartimento di Economia e Finanza def007, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    26. Michele Berardi, 2018. "Discrete beliefs space and equilibrium: a cautionary note," Centre for Growth and Business Cycle Research Discussion Paper Series 242, Economics, The University of Manchester.
    27. Massaro, Domenico, 2013. "Heterogeneous expectations in monetary DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 680-692.
    28. Damjan Pfajfar & Blaž Žakelj, 2015. "Inflation Expectations and Monetary Policy Design: Evidence from the Laboratory," Finance and Economics Discussion Series 2015-45, Board of Governors of the Federal Reserve System (U.S.).
    29. Bonam, Dennis & Goy, Gavin, 2019. "Home biased expectations and macroeconomic imbalances in a monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 103(C), pages 25-42.

Articles

  1. Berardi, Michele, 2026. "Uncertainty, sentiments and time-varying risk premia," The North American Journal of Economics and Finance, Elsevier, vol. 84(C).
    See citations under working paper version above.
  2. Berardi, Michele, 2022. "Uncertainty and sentiments in asset prices," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 498-516.
    See citations under working paper version above.
  3. Michele Berardi, 2021. "Learning from prices: information aggregation and accumulation in an asset market," Annals of Finance, Springer, vol. 17(1), pages 45-77, March.
    See citations under working paper version above.
  4. Michele Berardi, 2020. "A probabilistic interpretation of the constant gain learning algorithm," Bulletin of Economic Research, Wiley Blackwell, vol. 72(4), pages 393-403, October.

    Cited by:

    1. Duffy, John & Shin, Michael, 2024. "Heterogeneous experience and constant-gain learning," Journal of Economic Dynamics and Control, Elsevier, vol. 164(C).
    2. Mauersberger, Felix & Nagel, Rosemarie, 2025. "Modeling noisy learning in a dynamic oligopoly experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).

  5. Berardi, Michele & Galimberti, Jaqueson K., 2019. "Smoothing-Based Initialization For Learning-To-Forecast Algorithms," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 1008-1023, April.
    See citations under working paper version above.
  6. Berardi, Michele & Galimberti, Jaqueson K., 2017. "Empirical calibration of adaptive learning," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 219-237.
    See citations under working paper version above.
  7. Berardi, Michele & Galimberti, Jaqueson K., 2017. "On the initialization of adaptive learning in macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 26-53.
    See citations under working paper version above.
  8. Michele Berardi, 2016. "Endogenous time-varying risk aversion and asset returns," Journal of Evolutionary Economics, Springer, vol. 26(3), pages 581-601, July.
    See citations under working paper version above.
  9. Berardi, Michele, 2015. "On the fragility of sunspot equilibria under learning and evolutionary dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 251-265.
    See citations under working paper version above.
  10. Berardi, Michele, 2015. "Learning and coordination with dispersed information," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 19-33.

    Cited by:

    1. Michele Berardi, 2018. "Information aggregation and learning in a dynamic asset pricing model," Centre for Growth and Business Cycle Research Discussion Paper Series 241, Economics, The University of Manchester.
    2. Michele Berardi, 2015. "Prices, fundamental values and learning," Centre for Growth and Business Cycle Research Discussion Paper Series 214, Economics, The University of Manchester.
    3. Michele Berardi, 2016. "Herding through learning in an asset pricing model," Centre for Growth and Business Cycle Research Discussion Paper Series 223, Economics, The University of Manchester.

  11. Berardi, Michele & Duffy, John, 2015. "Real-Time, Adaptive Learning Via Parameterized Expectations," Macroeconomic Dynamics, Cambridge University Press, vol. 19(2), pages 245-269, March.
    See citations under working paper version above.
  12. Berardi, Michele & Galimberti, Jaqueson K., 2014. "A note on the representative adaptive learning algorithm," Economics Letters, Elsevier, vol. 124(1), pages 104-107.
    See citations under working paper version above.
  13. Berardi, Michele, 2013. "Escape Dynamics And Policy Specification," Macroeconomic Dynamics, Cambridge University Press, vol. 17(1), pages 123-142, January.
    See citations under working paper version above.
  14. Berardi, Michele & Galimberti, Jaqueson K., 2013. "A note on exact correspondences between adaptive learning algorithms and the Kalman filter," Economics Letters, Elsevier, vol. 118(1), pages 139-142.
    See citations under working paper version above.
  15. Berardi, Michele, 2011. "Fundamentalists vs. chartists: Learning and predictor choice dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 35(5), pages 776-792, May.
    See citations under working paper version above.
  16. Michele Berardi, 2009. "Monetary Policy with Heterogeneous and Misspecified Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(1), pages 79-100, February.
    See citations under working paper version above.
  17. Berardi, Michele, 2009. "Heterogeneous expectations, sunspot equilibria and their fragility," Economics Letters, Elsevier, vol. 105(3), pages 276-279, December.

    Cited by:

    1. Michele Berardi, 2015. "Expectations formation under adaptive learning and evolutionary dynamics," Centre for Growth and Business Cycle Research Discussion Paper Series 206, Economics, The University of Manchester.
    2. Michele Berardi, 2011. "Heterogeneous sunspots solutions under learning and replicator dynamics," Centre for Growth and Business Cycle Research Discussion Paper Series 160, Economics, The University of Manchester.
    3. Berardi, Michele, 2015. "On the fragility of sunspot equilibria under learning and evolutionary dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 251-265.
    4. Michele Berardi, 2018. "Discrete beliefs space and equilibrium: a cautionary note," Centre for Growth and Business Cycle Research Discussion Paper Series 242, Economics, The University of Manchester.
    5. Alberto Locarno, 2012. "Monetary policy in a model with misspecified, heterogeneous and ever-changing expectations," Temi di discussione (Economic working papers) 888, Bank of Italy, Economic Research and International Relations Area.

  18. Assenza, Tiziana & Berardi, Michele, 2009. "Learning in a credit economy," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1159-1169, May.
    See citations under working paper version above.
  19. Berardi, Michele, 2007. "Heterogeneity and misspecifications in learning," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3203-3227, October.
    See citations under working paper version above.
  20. Berardi, Michele & Duffy, John, 2007. "The value of central bank transparency when agents are learning," European Journal of Political Economy, Elsevier, vol. 23(1), pages 9-29, March.

    Cited by:

    1. Michele Berardi, 2006. "Monetary policy with heterogeneous and misspecified expectations," Centre for Growth and Business Cycle Research Discussion Paper Series 81, Economics, The University of Manchester.
    2. Guido Ascari & Anna Florio, 2012. "Transparency, Expectations Anchoring and the Inflation Target," DEM Working Papers Series 022, University of Pavia, Department of Economics and Management.
    3. Shambaugh, George E. & Shen, Elaine B., 2018. "A clear advantage: The benefits of transparency to crisis recovery," European Journal of Political Economy, Elsevier, vol. 55(C), pages 391-416.
    4. Alan S. Blinder & Michael Ehrmann & Marcel Fratzscher & Jakob De Haan & David-Jan Jansen, 2008. "Central Bank Communication and Monetary Policy: A Survey of Theory and Evidence," Working Papers 2008-2, Princeton University. Economics Department..
    5. Carsten Hefeker, 2011. "Policy Uncertainty and Economic Reforms in a Monetary Union," German Economic Review, Verein für Socialpolitik, vol. 12(3), pages 274-285, August.
    6. Agliari, A. & Massaro, D. & Pecora, N. & Spelta, A., 2014. "Inflation Targeting, Recursive Inattentiveness and Heterogeneous Beliefs," CeNDEF Working Papers 14-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    7. Papadamou, Stephanos & Sidiropoulos, Moïse & Spyromitros, Eleftherios, 2014. "Does central bank transparency affect stock market volatility?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 362-377.
    8. Kinda Hachem & Jing Cynthia Wu, 2014. "Inflation Announcements and Social Dynamics," NBER Working Papers 20161, National Bureau of Economic Research, Inc.
    9. Honkapohja, Seppo & Evans, George W., 2008. "Expectations, Learning and Monetary Policy: An Overview of Recent Rersearch," CEPR Discussion Papers 6640, Centre for Economic Policy Research.
    10. Athina Zervoyianni & Athanasios Anastasiou & Andreas Anastasiou, 2014. "Does central bank independence really matter? Re-assessing the role of the independence of monetary policy-makers in macroeconomic outcomes," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 8(4), pages 427-473.
    11. Tomáš Holinka, 2010. "Proces učení a transparentnost centrální banky [Learning Process and Transparency of Central Bank]," Politická ekonomie, Prague University of Economics and Business, vol. 2010(4), pages 458-470.
    12. Guse, Eran A., 2008. "Learning in a misspecified multivariate self-referential linear stochastic model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(5), pages 1517-1542, May.
    13. Hommes, C.H. & Lustenhouwer, J., 2015. "Inflation Targeting and Liquidity Traps under Endogenous Credibility," CeNDEF Working Papers 15-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    14. Alberto Locarno, 2012. "Monetary policy in a model with misspecified, heterogeneous and ever-changing expectations," Temi di discussione (Economic working papers) 888, Bank of Italy, Economic Research and International Relations Area.
    15. Ma, Yong & Li, Shushu, 2015. "Bayesian estimation of China's monetary policy transparency: A New Keynesian approach," Economic Modelling, Elsevier, vol. 45(C), pages 236-248.
    16. Bonam, Dennis & Goy, Gavin, 2019. "Home biased expectations and macroeconomic imbalances in a monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 103(C), pages 25-42.
    17. van der Cruijsen, C.A.B., 2008. "The economic impact of central bank transparency," Other publications TiSEM 86c1ba91-1952-45b4-adac-8, Tilburg University, School of Economics and Management.

Chapters

  1. Tiziana Assenza & Michele Berardi & Domenico Delli Gatti, 2015. "Was Bernanke Right? Targeting Asset Prices Maynotbe a Good Idea After All," International Symposia in Economic Theory and Econometrics, in: Monetary Policy in the Context of the Financial Crisis: New Challenges and Lessons, volume 24, pages 451-496, Emerald Group Publishing Limited.
    See citations under working paper version above.
  2. Michele Berardi, 2007. "Beyond the Static Money Multiplier: In Search of a Dynamic Theory of Money," Lecture Notes in Economics and Mathematical Systems, in: Andrea Consiglio (ed.), Artificial Markets Modeling, chapter 1, pages 3-16, Springer.
    See citations under working paper version above.Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Rankings

This author is among the top 5% authors according to these criteria:
  1. Record of graduates

Co-authorship network on CollEc

Featured entries

This author is featured on the following reading lists, publication compilations, Wikipedia, or ReplicationWiki entries:
  1. Learning and Expectations Macroeconomists

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 25 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CBA: Central Banking (7) 2007-03-03 2008-03-25 2008-09-20 2009-03-07 2009-04-05 2010-07-17 2011-03-19. Author is listed
  2. NEP-MAC: Macroeconomics (7) 2007-03-03 2009-03-07 2009-04-05 2011-03-19 2014-05-04 2015-09-18 2021-04-12. Author is listed
  3. NEP-EVO: Evolutionary Economics (6) 2008-09-20 2012-05-15 2013-07-28 2015-07-04 2015-09-18 2018-07-30. Author is listed
  4. NEP-MON: Monetary Economics (4) 2007-03-03 2009-03-07 2009-04-05 2011-03-19
  5. NEP-UPT: Utility Models and Prospect Theory (4) 2012-05-29 2012-11-17 2018-07-30 2021-04-12
  6. NEP-CMP: Computational Economics (3) 2012-10-20 2017-07-02 2019-05-27
  7. NEP-FOR: Forecasting (3) 2012-11-17 2014-05-04 2015-09-18
  8. NEP-GTH: Game Theory (3) 2012-05-15 2018-07-30 2021-04-12
  9. NEP-ORE: Operations Research (3) 2014-05-04 2019-05-27 2020-11-16
  10. NEP-CBE: Cognitive and Behavioural Economics (2) 2012-11-17 2015-07-04
  11. NEP-CSE: Economics of Strategic Management (2) 2011-04-30 2012-05-15
  12. NEP-CTA: Contract Theory and Applications (2) 2011-04-30 2012-05-15
  13. NEP-FMK: Financial Markets (2) 2016-09-11 2018-07-30
  14. NEP-MIC: Microeconomics (2) 2012-05-15 2016-09-11
  15. NEP-DGE: Dynamic General Equilibrium (1) 2008-03-25
  16. NEP-ECM: Econometrics (1) 2017-03-05
  17. NEP-HPE: History and Philosophy of Economics (1) 2018-07-30
  18. NEP-RMG: Risk Management (1) 2021-04-12

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Michele Berardi should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.