On learnability of E–stable equilibria
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Giuseppe Ferrero, 2004.
"Monetary Policy and the Transition to Rational Expectations,"
Econometric Society 2004 North American Summer Meetings
101, Econometric Society.
- Giuseppe Ferrero, 2004. "Monetary policy and the transition to rational expectations," Computing in Economics and Finance 2004 19, Society for Computational Economics.
- Giuseppe Ferrero, 2004. "Monetary Policy and the Transition to Rational Expectations," Temi di discussione (Economic working papers) 499, Bank of Italy, Economic Research and International Relations Area.
- Giannitsarou, Chryssi, 2005. "E-Stability Does Not Imply Learnability," Macroeconomic Dynamics, Cambridge University Press, vol. 9(2), pages 276-287, April.
- George W. Evans & Seppo Honkapohja & Noah Williams, 2010.
"Generalized Stochastic Gradient Learning,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(1), pages 237-262, February.
- George W. Evans & Seppo Honkapohja & Noah Williams, 2005. "Generalized Stochastic Gradient Learning," University of Oregon Economics Department Working Papers 2005-17, University of Oregon Economics Department, revised 18 May 2008.
- George W. Evans & Seppo Honkapohja & Noah Williams, 2005. "Generalized Stochastic Gradient Learning," NBER Technical Working Papers 0317, National Bureau of Economic Research, Inc.
- Evans, G.W. & Honkapohja ,S. & Williams, N., 2005. "Generalized Stochastic Gradient Learning," Cambridge Working Papers in Economics 0545, Faculty of Economics, University of Cambridge.
- George W. Evans & Seppo Honkapohja & Noah Williams, 2005. "Generalized Stochastic Gradient Learning," CESifo Working Paper Series 1576, CESifo.
- Barucci, Emilio & Landi, Leonardo, 1997. "Least mean squares learning in self-referential linear stochastic models," Economics Letters, Elsevier, vol. 57(3), pages 313-317, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Araújo, Eurilton, 2016.
"Determinacy and learnability of equilibrium in a small-open economy with sticky wages and prices,"
International Review of Economics & Finance, Elsevier, vol. 45(C), pages 16-32.
- Eurilton Araújo, 2014. "Determinacy and Learnability of Equilibrium in a Small Open Economy with Sticky Wages and Prices," Working Papers Series 376, Central Bank of Brazil, Research Department.
- Berardi, Michele, 2015. "Learning and coordination with dispersed information," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 19-33.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- 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.
- Seppo Honkapohja & Kaushik Mitra, 2006.
"Learning Stability in Economies with Heterogeneous Agents,"
Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(2), pages 284-309, April.
- Seppo Honkapohja & Kaushik Mitra, 2002. "Learning Stability in Economies with Heterogenous Agents," CESifo Working Paper Series 772, CESifo.
- Kaushik Mitra & Seppo Honkapohja, 2004. "Learning Stability in Economies with Heterogenous Agents," Royal Holloway, University of London: Discussion Papers in Economics 04/17, Department of Economics, Royal Holloway University of London, revised Jul 2004.
- Honkapohja, Seppo & Mitra, Kaushik, 2002. "Learning stability in economics with heterogeneous agents," Working Paper Series 120, European Central Bank.
- Mele, Antonio & Molnár, Krisztina & Santoro, Sergio, 2020.
"On the perils of stabilizing prices when agents are learning,"
Journal of Monetary Economics, Elsevier, vol. 115(C), pages 339-353.
- Mele, Antonio & Molnar, Krisztina & Santoro, Sergio, 2014. "On the perils of stabilizing prices when agents are learning," Discussion Paper Series in Economics 1/2015, Norwegian School of Economics, Department of Economics.
- Antonio Mele & Krisztina Molnar & Sergio Santoro, 2015. "On the perils of stabilizing prices when agents are learning," School of Economics Discussion Papers 0215, School of Economics, University of Surrey.
- Mele, Antonio & Molnar, Krisztina & Santoro, Sergio, 2018. "On the perils of stabilizing prices when agents are learning," Discussion Paper Series in Economics 22/2018, Norwegian School of Economics, Department of Economics.
- Antonio Mele & Krisztina Molnár & Sergio Santoro, 2015. "On the Perils of Stabilizing Prices when Agents are Learning," CESifo Working Paper Series 5173, CESifo.
- Berardi, Michele & Galimberti, Jaqueson K., 2014.
"A note on the representative adaptive learning algorithm,"
Economics Letters, Elsevier, vol. 124(1), pages 104-107.
- 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.
- Carceles-Poveda, Eva & Giannitsarou, Chryssi, 2007.
"Adaptive learning in practice,"
Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2659-2697, August.
- Chryssi Giannitsarou & Eva Carceles-Poveda, 2004. "Adaptive Learning in Practice," Computing in Economics and Finance 2004 271, Society for Computational Economics.
- Giannitsarou, Chryssi & Carceles-Poveda, Eva, 2006. "Adaptive Learning in Practice," CEPR Discussion Papers 5627, C.E.P.R. Discussion Papers.
- Tetlow, Robert J. & von zur Muehlen, Peter, 2009.
"Robustifying learnability,"
Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 296-316, February.
- Robert J. Tetlow & Peter Von zur Muehlen, 2005. "Robustifying learnability," Finance and Economics Discussion Series 2005-58, Board of Governors of the Federal Reserve System (U.S.).
- Robert J. Tetlow & Peter von zur Muehlen, 2006. "Robustifying Learnability," 2006 Meeting Papers 439, Society for Economic Dynamics.
- Tetlow, Robert J. & von zur Muehlen, Peter, 2006. "Robustifying learnability," Working Paper Series 593, European Central Bank.
- Peter von zur Muehlen & Robert J. Tetlow, 2005. "Robustifying Learnability," Computing in Economics and Finance 2005 437, Society for Computational Economics.
- 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.
- 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.
- Margaret Jacobson, 2019.
"Beliefs, Aggregate Risk, and the U.S. Housing Boom,"
2019 Meeting Papers
1549, Society for Economic Dynamics.
- Margaret M. Jacobson, 2022. "Beliefs, Aggregate Risk, and the U.S. Housing Boom," Finance and Economics Discussion Series 2022-061, Board of Governors of the Federal Reserve System (U.S.).
- 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.
- Sergey Slobodyan & Anna Bogomolova, & Dmitri Kolyuzhnov, 2006.
"Stochastic Gradient versus Recursive Least Squares Learning,"
CERGE-EI Working Papers
wp309, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
- Sergey Slobodyan & Anna Bogomolova & Dmitri Kolyuzhnov, 2006. "Stochastic Gradient versus Recursive Least Squares Learning," Computing in Economics and Finance 2006 446, Society for Computational Economics.
- 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.
- 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.
- Atanas Christev, 2006.
"Learning Hyperinflations,"
Computing in Economics and Finance 2006
475, Society for Computational Economics.
- Atanas Christev, 2007. "Learning Hyperinflations," Money Macro and Finance (MMF) Research Group Conference 2006 126, Money Macro and Finance Research Group.
- George W. Evans & Seppo Honkapohja, 2009.
"Robust Learning Stability with Operational Monetary Policy Rules,"
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 5, pages 145-170,
Central Bank of Chile.
- Evans, George W. & Honkapohja, Seppo, 2007. "Robust learning stability with operational monetary policy rules," Bank of Finland Research Discussion Papers 31/2007, Bank of Finland.
- George W. Evans & Seppo Honkapohja, 2008. "Robust Learning Stability with Operational Monetary Policy Rules," CDMA Conference Paper Series 0808, Centre for Dynamic Macroeconomic Analysis.
- Honkapohja, Seppo & Evans, George W., 2008. "Robust Learning Stability with Operational Monetary Policy Rules," CEPR Discussion Papers 6641, C.E.P.R. Discussion Papers.
- George W. Evans & Seppo Honkapohja, 2008. "Robust Learning Stability with Operational Monetary Policy Rules," Working Papers Central Bank of Chile 504, Central Bank of Chile.
- 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.
- Gaballo, Gaetano, 2013.
"Good luck or good policy? An expectational theory of macro volatility switches,"
Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2755-2770.
- Gaballo, G., 2012. "Good Luck or Good Policy? An Expectational Theory of Macro-Volatility Switches," Working papers 402, Banque de France.
- Chryssi Giannitsarou, 2003. "Heterogeneous Learning," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(4), pages 885-906, October.
- Pfajfar, Damjan & Santoro, Emiliano, 2010.
"Heterogeneity, learning and information stickiness in inflation expectations,"
Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 426-444, September.
- Damjan Pfajfar & Emiliano Santoro, 2010. "Heterogeneity, Learning and Information Stickiness in Inflation Expectations," Post-Print hal-00849412, HAL.
- Jaqueson K. Galimberti, 2020.
"Information weighting under least squares learning,"
CAMA Working Papers
2020-46, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- 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.
- Jaqueson K. Galimberti, 2021. "Initial beliefs uncertainty," CAMA Working Papers 2021-68, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Jaqueson K. Galimberti, 2020. "Information weighting under least squares adaptive learning," Working Papers 2020-04, Auckland University of Technology, Department of Economics.
- Berardi, Michele & Galimberti, Jaqueson K., 2017.
"Empirical calibration of adaptive learning,"
Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 219-237.
- Michele Berardi & Jaqueson K. Galimberti, 2015. "Empirical Calibration of Adaptive Learning," KOF Working papers 15-392, KOF Swiss Economic Institute, ETH Zurich.
- 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.
- 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.).
More about this item
Keywords
Adaptive learning; E–stability; stochastic gradient; learnability;All these keywords.
JEL classification:
- C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
- E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
NEP fields
This paper has been announced in the following NEP Reports:- NEP-EVO-2006-07-15 (Evolutionary Economics)
- NEP-MAC-2006-07-15 (Macroeconomics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sce:scecfa:451. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/sceeeea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.