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Impacts of Priors on Convergence and Escapes from Nash Inflation

Citations

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Cited by:

  1. Hans Dewachter, 2008. "Imperfect information, macroeconomic dynamics and the yield curve : an encompassing macro-finance model," Working Paper Research 144, National Bank of Belgium.
  2. Thomas Sargent & Noah Williams & Tao Zha, 2006. "Shocks and Government Beliefs: The Rise and Fall of American Inflation," American Economic Review, American Economic Association, vol. 96(4), pages 1193-1224, September.
  3. Kenneth J. Singleton, 2021. "Presidential Address: How Much “Rationality” Is There in Bond‐Market Risk Premiums?," Journal of Finance, American Finance Association, vol. 76(4), pages 1611-1654, August.
  4. Berardi, Michele & Galimberti, Jaqueson K., 2017. "Empirical calibration of adaptive learning," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 219-237.
  5. Lars E. O. Svensson, 2003. "Monetary policy and learning," Economic Review, Federal Reserve Bank of Atlanta, vol. 88(Q3), pages 11-16.
  6. Honkapohja, Seppo & Sargent, Thomas & Evans, George W. & Williams, Noah, 2012. "Bayesian Model Averaging, Learning and Model Selection," CEPR Discussion Papers 8917, C.E.P.R. Discussion Papers.
  7. Norman, Thomas W.L., 2015. "Learning, hypothesis testing, and rational-expectations equilibrium," Games and Economic Behavior, Elsevier, vol. 90(C), pages 93-105.
  8. Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Birkbeck Working Papers in Economics and Finance 1409, Birkbeck, Department of Economics, Mathematics & Statistics.
  9. 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.
  10. Luca Benati, 2005. "U.K. Monetary Regimes and Macroeconomic Stylised Facts," Computing in Economics and Finance 2005 107, Society for Computational Economics.
  11. 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.
  12. Pierpaolo Battigalli & Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Thomas Sargent, 2016. "A Framework for the Analysis of Self-Confirming Policies," Working Papers 573, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  13. In-Koo Cho & Kenneth Kasa, 2015. "Learning and Model Validation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(1), pages 45-82.
  14. Hollmayr, Josef & Matthes, Christian, 2015. "Learning about fiscal policy and the effects of policy uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 59(C), pages 142-162.
  15. Rondina, Francesca, 2012. "The role of model uncertainty and learning in the US postwar policy response to oil prices," Journal of Economic Dynamics and Control, Elsevier, vol. 36(7), pages 1009-1041.
  16. 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).
  17. In-Koo Cho & Kenneth Kasa, 2017. "Gresham's Law of Model Averaging," American Economic Review, American Economic Association, vol. 107(11), pages 3589-3616, November.
  18. Ellis W. Tallman, 2003. "Monetary policy and learning: Some implications for policy and research," Economic Review, Federal Reserve Bank of Atlanta, vol. 88(Q3), pages 1-9.
  19. Rychalovska, Yuliya & Slobodyan, Sergey & Wouters, Raf, 2025. "Survey expectations, learning and inflation dynamics," European Economic Review, Elsevier, vol. 180(C).
  20. Francesca Rondina, 2017. "Model Uncertainty and the Direction of Fit of the Postwar U.S. Phillips Curve(s)," Working Papers 1702E, University of Ottawa, Department of Economics.
  21. 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.
  22. P. Battigalli & S. Cerreia-Vioglio & F. Maccheroni & M. Marinacci & T. Sargent, 2022. "A framework for the analysis of self-confirming policies," Theory and Decision, Springer, vol. 92(3), pages 455-512, April.
  23. 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.
  24. 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.
  25. Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Working Papers 720, Queen Mary University of London, School of Economics and Finance.
  26. William A. Branch & George W. Evans, 2017. "Unstable Inflation Targets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(4), pages 767-806, June.
  27. Chetan Dave & Marco M. Sorge, 2025. "Fat‐tailed DSGE models: A survey and new results," Journal of Economic Surveys, Wiley Blackwell, vol. 39(1), pages 146-171, February.
  28. Eusepi, Stefano & Gibbs, Chris & Preston, Bruce, 2021. "Forward guidance with unanchored expectations," Bank of Finland Research Discussion Papers 11/2021, Bank of Finland.
  29. Bullard, James & Suda, Jacek, 2016. "The stability of macroeconomic systems with Bayesian learners," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 1-16.
  30. 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.
  31. Thomas Sargent & Noah Williams & Tao Zha, 2009. "The Conquest of South American Inflation," Journal of Political Economy, University of Chicago Press, vol. 117(2), pages 211-256, April.
  32. 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.
  33. 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.
  34. 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.
  35. Carboni, Giacomo & Ellison, Martin, 2009. "The Great Inflation and the Greenbook," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 831-841, September.
  36. Bigio, Saki, 2010. "Learning under fear of floating," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1923-1950, October.
  37. Stefano Eusepi, 2004. "Does Central Bank Transparency Matter for Economic Stability," Computing in Economics and Finance 2004 176, Society for Computational Economics.
  38. Branch, William A., 2016. "Imperfect knowledge, liquidity and bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 17-42.
  39. 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.
  40. Hollmayr, Josef & Matthes, Christian, 2015. "Tales of transition paths: Policy uncertainty and random walks," Discussion Papers 14/2015, Deutsche Bundesbank.
  41. KevinX.D. Huang & Zheng Liu & Tao Zha, 2009. "Learning, Adaptive Expectations and Technology Shocks," Economic Journal, Royal Economic Society, vol. 119(536), pages 377-405, March.
  42. Ellison, Martin & Carboni, Giacomo, 2007. "Learning and the Great Inflation," CEPR Discussion Papers 6250, C.E.P.R. Discussion Papers.
  43. Evans, David & Evans, George W. & McGough, Bruce, 2022. "The RPEs of RBCs and other DSGEs," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
  44. Duffy, John & Shin, Michael, 2024. "Heterogeneous experience and constant-gain learning," Journal of Economic Dynamics and Control, Elsevier, vol. 164(C).
  45. 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.
  46. Reed, Jason R., 2019. "The forward premium puzzle and Markov-switching adaptive learning," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 1-17.
  47. 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.
  48. 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.
  49. Jacopo Piana & Daniele Bianchi, 2017. "Expected Spot Prices and the Dynamics of Commodity Risk Premia," 2017 Meeting Papers 1149, Society for Economic Dynamics.
  50. Jaroslav Husár & Karol Szomolányi, 2009. "Dynamický model stability inflačného procesu na báze kvantitatívnej teórie peňazí [Dynamic model of inflation stability based on quantity theory of money]," Politická ekonomie, Prague University of Economics and Business, vol. 2009(1), pages 48-57.
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