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Citations for "Impacts of Priors on Convergence and Escapes from Nash Inflation"

by Thomas J. Sargent & Noah William

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  1. Kenneth Kasa & In-Koo Cho, 2011. "Learning and Model Validation," 2011 Meeting Papers 1086, Society for Economic Dynamics.
  2. Hollmayr, Josef & Matthes, Christian, 2013. "Learning about fiscal policy and the effects of policy uncertainty," Discussion Papers 51/2013, Deutsche Bundesbank, Research Centre.
  3. 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 Univeristy of Manchester.
  4. James B. Bullard & Jacek Suda, 2008. "The stability of macroeconomic systems with Bayesian learners," Working Papers 2008-043, Federal Reserve Bank of St. Louis.
  5. Bigio, Saki, 2009. "Learning under Fear of Floating," Working Papers 2009-004, Banco Central de Reserva del Perú.
  6. Stefano Eusepi, 2004. "Does Central Bank Transparency Matter for Economic Stability," Computing in Economics and Finance 2004 176, Society for Computational Economics.
  7. William Branch & George W. Evans, 2007. "Model Uncertainty and Endogenous Volatility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(2), pages 207-237, April.
  8. Davide Delle Monache & Ivan Petrella, 2016. "Adaptive models and heavy tails," Temi di discussione (Economic working papers) 1052, Bank of Italy, Economic Research and International Relations Area.
  9. Robert Tetlow & Peter von zur Muehlen, 2004. "Avoiding Nash Inflation: Bayesian and Robus Responses to Model Uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(4), pages 869-899, October.
  10. Thomas J. Sargent & Noah Williams & Tao Zha, 2004. "Shocks and government beliefs: the rise and fall of American inflation," FRB Atlanta Working Paper 2004-22, Federal Reserve Bank of Atlanta.
  11. Norman, Thomas W.L., 2015. "Learning, hypothesis testing, and rational-expectations equilibrium," Games and Economic Behavior, Elsevier, vol. 90(C), pages 93-105.
  12. Lars E. O. Svensson, 2003. "Monetary policy and learning," Economic Review, Federal Reserve Bank of Atlanta, issue Q3, pages 11-16.
  13. Timothy Cogley & Thomas J. Sargent, 2005. "The conquest of US inflation: Learning and robustness to model uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 528-563, April.
  14. Kevin X. D. Huang & Zheng Liu & Tao Zha, 2008. "Learning, adaptive expectations, and technology shocks," FRB Atlanta Working Paper 2008-20, Federal Reserve Bank of Atlanta.
  15. Luca Benati, 2005. "U.K. Monetary Regimes and Macroeconomic Stylised Facts," Computing in Economics and Finance 2005 107, Society for Computational Economics.
  16. Carboni, Giacomo & Ellison, Martin, 2007. "Learning and the Great Inflation," CEPR Discussion Papers 6250, C.E.P.R. Discussion Papers.
  17. Dmitri Kolyuzhnov & Anna Bogomolova & Sergey Slobodyan, 2006. "Escape Dynamics: A Continuous—Time Approximation," CERGE-EI Working Papers wp285, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
  18. 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.
  19. Hans Dewachter & Marco Lyrio, 2008. "Learning, Macroeconomic Dynamics and the Term Structure of Interest Rates," NBER Chapters, in: Asset Prices and Monetary Policy, pages 191-245 National Bureau of Economic Research, Inc.
  20. Carboni, Giacomo & Ellison, Martin, 2009. "The Great Inflation and the Greenbook," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 831-841, September.
  21. Mitra, Kaushik & Evans, George W. & Honkapohja, Seppo, 2012. "Baysian Model Averaging, Learning and Model Selection," SIRE Discussion Papers 2012-11, Scottish Institute for Research in Economics (SIRE).
  22. Jess Benhabib & Chetan Dave, 2014. "Learning, Large Deviations and Rare Events," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(3), pages 367-382, July.
  23. Michele Berardi & Jaqueson K. Galimberti, 2015. "Empirical Calibration of Adaptive Learning," KOF Working papers 15-392, KOF Swiss Economic Institute, ETH Zurich.
  24. Francesca Rondina, 2010. "The role of model uncertainty and learning in the U.S. postwar policy response to oil prices," Working Papers 478, Barcelona Graduate School of Economics.
  25. Matthes, Christian & Hollmayr, Josef, 2015. "Tales of Transition Paths: Policy Uncertainty and Random Walks," Working Paper 15-11, Federal Reserve Bank of Richmond.
  26. Thomas J. Sargent & Noah Williams & Tao Zha, 2006. "The conquest of South American inflation," FRB Atlanta Working Paper 2006-20, Federal Reserve Bank of Atlanta.
  27. Hans Dewachter, 2008. "Imperfect information, macroeconomic dynamics and the yield curve : an encompassing macro-finance model," Working Paper Research 144, National Bank of Belgium.
  28. Branch, William A., 2016. "Imperfect knowledge, liquidity and bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 17-42.
  29. Ellis W. Tallman, 2003. "Monetary policy and learning: Some implications for policy and research," Economic Review, Federal Reserve Bank of Atlanta, issue Q3, pages 1-9.
  30. In-Koo Cho, 2015. "Gresham's Law of Model Averaging," 2015 Meeting Papers 906, Society for Economic Dynamics.
  31. Slobodyan, Sergey & Wouters, Raf, 2012. "Learning in an estimated medium-scale DSGE model," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 26-46.
  32. Pierpaolo Battigalli & Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Thomas Sargent, 2016. "A Framework for the Analysis of Self-Confi rming Policies," Working Papers 573, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  33. J. Huston McCulloch, 2005. "The Kalman Foundations of Adaptive Least Squares: Applications to Unemployment and Inflation," Computing in Economics and Finance 2005 239, Society for Computational Economics.
  34. Raf Wouters & Sergey Slobodyan, 2009. "Estimating a medium–scale DSGE model with expectations based on small forecasting models," 2009 Meeting Papers 654, Society for Economic Dynamics.
  35. Kim, Young Se, 2009. "Exchange rates and fundamentals under adaptive learning," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 843-863, April.
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