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Citations for "Did the Great Inflation occur despite policymaker commitment to a Taylor rule?"

by James B. Bullard & Stefano Eusepi

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  1. Eric Mayer & Johann Scharler, 2010. "Noisy Information, Interest Rate Shocks and the Great Moderation," Economics working papers 2010-07, Department of Economics, Johannes Kepler University Linz, Austria.
  2. Ali, Syed Zahid & Anwar, Sajid, 2017. "Exchange rate pass through, cost channel to monetary policy transmission, adaptive learning, and the price puzzle," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 69-82.
  3. Athanasios Orphanides & John C. Williams, 2003. "The decline of activist stabilization policy: natural rate misperceptions, learning, and expectations," Working Paper Series 2003-24, Federal Reserve Bank of San Francisco.
  4. Fujita, Shigeru & Fujiwara, Ippei, 2016. "Declining Trends In The Real Interest Rate And Inflation: The Role Of Aging," Working Papers 16-29, Federal Reserve Bank of Philadelphia.
  5. Evans, George W. & Honkapohja, Seppo, 2007. "Expectations, learning and monetary policy : an overview of recent research," Research Discussion Papers 32/2007, Bank of Finland.
  6. Fabrice Collard & Harris Dellas, 2007. "The Great Inflation of the 1970s," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2-3), pages 713-731, 03.
  7. 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.
  8. Kozicki, Sharon & Tinsley, P.A., 2005. "Permanent and transitory policy shocks in an empirical macro model with asymmetric information," Journal of Economic Dynamics and Control, Elsevier, vol. 29(11), pages 1985-2015, November.
  9. John C Williams & Athanasios Orphanides, 2005. "Robust Monetary Policy with Imperfect Knowledge," Computing in Economics and Finance 2005 400, Society for Computational Economics.
  10. Lubik, Thomas A. & Matthes, Christian, 2014. "Indeterminacy and Learning: An Analysis of Monetary Policy in the Great Inflation," Working Paper 14-2, Federal Reserve Bank of Richmond.
  11. Carceles-Poveda, Eva & Giannitsarou, Chryssi, 2006. "Adaptive Learning in Practice," CEPR Discussion Papers 5627, C.E.P.R. Discussion Papers.
  12. Fabio Milani, 2005. "Adaptive Learning and Inflation Persistence," Working Papers 050607, University of California-Irvine, Department of Economics.
  13. Carlos Hamilton Araujo & Seppo Honkapohja & James B. Bullard, 2009. "Panel discussion," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 383-395.
  14. Sylvain Leduc & Keith Sill, 2003. "Monetary policy, oil shocks, and TFP: accounting for the decline in U.S. volatility," Working Papers 03-22, Federal Reserve Bank of Philadelphia.
  15. Olivier Coibion & Yuriy Gorodnichenko, 2011. "Monetary Policy, Trend Inflation, and the Great Moderation: An Alternative Interpretation," American Economic Review, American Economic Association, vol. 101(1), pages 341-370, February.
  16. Berardi, Michele & Galimberti, Jaqueson K., 2014. "A note on the representative adaptive learning algorithm," Economics Letters, Elsevier, vol. 124(1), pages 104-107.
  17. Fabrice Collard & Harris Dellas, 2010. "Monetary Misperceptions, Output, and Inflation Dynamics," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(2-3), pages 483-502, 03.
  18. Stefano Eusepi, 2004. "Does Central Bank Transparency Matter for Economic Stability," Computing in Economics and Finance 2004 176, Society for Computational Economics.
  19. Evans, George W. & Honkapohja, Seppo & Kaushik, Mitra, 2010. "Does Ricardian Equivalence hold when expectations are not rational?," Research Discussion Papers 13/2010, Bank of Finland.
  20. Belaygorod, Anatoliy & Dueker, Michael, 2009. "Indeterminacy, change points and the price puzzle in an estimated DSGE model," Journal of Economic Dynamics and Control, Elsevier, vol. 33(3), pages 624-648, March.
  21. 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.
  22. Chakraborty, Avik & Evans, George W., 2008. "Can perpetual learning explain the forward-premium puzzle?," Journal of Monetary Economics, Elsevier, vol. 55(3), pages 477-490, April.
  23. Michael McMahon & Stephen Hansen, 2012. "First Impressions Matter: Signalling as a Source of Policy Dynamics," 2012 Meeting Papers 1163, Society for Economic Dynamics.
  24. Christian Matthes & Francesca Rondina, 2012. "Two-sided Learning in New Keynesian Models: Dynamics, (Lack of) Convergence and the Value of Information," UFAE and IAE Working Papers 913.12, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  25. Evans, George W. & Honkapohja, Seppo, 2011. "Learning as a Rational Foundation for Macroeconomics and Finance," CEPR Discussion Papers 8340, C.E.P.R. Discussion Papers.
  26. Tetlow, Robert J. & von zur Muehlen, Peter, 2009. "Robustifying learnability," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 296-316, February.
  27. Ichiro Muto, 2007. "Productivity Growth, Transparency, and Monetary Policy," IMES Discussion Paper Series 07-E-08, Institute for Monetary and Economic Studies, Bank of Japan.
  28. Edward Nelson, 2004. "The Great Inflation of the seventies: what really happened?," Working Papers 2004-001, Federal Reserve Bank of St. Louis.
  29. Piero Ferri & Anna Maria Variato, 2007. "Macro Dynamics in a Model with Uncertainty," Working Papers (-2012) 0704, University of Bergamo, Department of Economics.
  30. Julio J. Rotemberg, 2014. "The Federal Reserve's Abandonment of its 1923 Principles," NBER Working Papers 20507, National Bureau of Economic Research, Inc.
  31. Trehan, Bharat & Wu, Tao, 2007. "Time-varying equilibrium real rates and monetary policy analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 31(5), pages 1584-1609, May.
  32. Milani, Fabio, 2007. "Expectations, learning and macroeconomic persistence," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 2065-2082, October.
  33. Michele Berardi & Jaqueson K. Galimberti, 2015. "Empirical Calibration of Adaptive Learning," KOF Working papers 15-392, KOF Swiss Economic Institute, ETH Zurich.
  34. Julio J. Rotemberg, 2013. "Shifts in US Federal Reserve Goals and Tactics for Monetary Policy: A Role for Penitence?," Journal of Economic Perspectives, American Economic Association, vol. 27(4), pages 65-86, Fall.
  35. Siegler, Mark V. & Van Gaasbeck, Kristin A., 2005. "From the Great Depression to the Great Inflation: Path dependence and monetary policy," Journal of Economics and Business, Elsevier, vol. 57(5), pages 375-387.
  36. Anatoliy Belaygorod & Michael J. Dueker, 2007. "The price puzzle and indeterminacy in an estimated DSGE model," Working Papers 2006-025, Federal Reserve Bank of St. Louis.
  37. Mattesini, Fabrizio & Nisticò, Salvatore, 2010. "Trend growth and optimal monetary policy," Journal of Macroeconomics, Elsevier, vol. 32(3), pages 797-815, September.
  38. 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.
  39. Fazzari, Steven M. & Ferri, Piero & Greenberg, Edward, 2010. "Investment and the Taylor rule in a dynamic Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 2010-2022, October.
  40. Murray, James, 2011. "Learning and judgment shocks in U.S. business cycles," MPRA Paper 29257, University Library of Munich, Germany.
  41. James Murray, 2008. "Empirical Significance of Learning in a New Keynesian Model with Firm-Specific Capital," Caepr Working Papers 2007-027, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington.
  42. James B. Bullard & John Duffy, 2004. "Learning and structural change in macroeconomic data," Working Papers 2004-016, Federal Reserve Bank of St. Louis.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.