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Two-sided Learning in New Keynesian Models: Dynamics, (Lack of) Convergence and the Value of Information

  • Christian Matthes

    ()

  • Francesca Rondina

    ()

This paper investigates the role of learning by private agents and the central bank (two-sided learning) in a New Keynesian framework in which both sides of the economy have asymmetric and imperfect knowledge about the true data generating process. We assume that all agents employ the data that they observe (which may be distinct for different sets of agents) to form beliefs about unknown aspects of the true model of the economy, use their beliefs to decide on actions, and revise these beliefs through a statistical learning algorithm as new information becomes available. We study the short-run dynamics of our model and derive its policy recommendations, particularly with respect to central bank communications. We demonstrate that two-sided learning can generate substantial increases in volatility and persistence, and alter the behavior of the variables in the model in a signifficant way. Our simulations do not converge to a symmetric rational expectations equilibrium and we highlight one source that invalidates the convergence results of Marcet and Sargent (1989). Finally, we identify a novel aspect of central bank communication in models of learning: communication can be harmful if the central bank's model is substantially mis-specified

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Paper provided by Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC) in its series UFAE and IAE Working Papers with number 913.12.

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Length: 31
Date of creation: 01 Oct 2012
Date of revision:
Handle: RePEc:aub:autbar:913.12
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  1. James B. Bullard & Stefano Eusepi, 2003. "Did the Great Inflation occur despite policymaker commitment to a Taylor rule?," FRB Atlanta Working Paper 2003-20, Federal Reserve Bank of Atlanta.
  2. Christian Matthes & Argia M. Sbordone & Timothy Cogley, 2011. "Optimal Disinflation Under Learning," 2011 Meeting Papers 74, Society for Economic Dynamics.
  3. George W. Evans & Seppo Honkapohja, 2003. "Adaptive learning and monetary policy design," Proceedings, Federal Reserve Bank of Cleveland, pages 1045-1084.
  4. Evans, George W. & Honkapohja, Seppo, 2002. "Monetary policy, expectations and commitment," Working Paper Series 0124, European Central Bank.
  5. Milani, Fabio, 2008. "Learning, monetary policy rules, and macroeconomic stability," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3148-3165, October.
  6. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
  7. repec:oup:restud:v:65:y:1998:i:1:p:23-44 is not listed on IDEAS
  8. Orphanides, Athanasios & Williams, John C., 2004. "The decline of activist stabilization policy: natural rate misperceptions, learning, and expectations," Working Paper Series 0337, European Central Bank.
  9. Honkapohja, Seppo & Mitra, Kaushik, 2002. "Performance of monetary policy with internal central bank forecasting," Research Discussion Papers 3/2002, Bank of Finland.
  10. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Working Paper Series WP-01-08, Federal Reserve Bank of Chicago.
  11. Brock, William A. & Durlauf, Steven N. & Nason, James M. & Rondina, Giacomo, 2007. "Simple versus optimal rules as guides to policy," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1372-1396, July.
  12. Bullard, James & Mitra, Kaushik, 2002. "Learning about monetary policy rules," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1105-1129, September.
  13. Stefano Eusepi & Bruce Preston, 2010. "Central Bank Communication and Expectations Stabilization," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(3), pages 235-71, July.
  14. Barnett, Alina & Ellison, Martin, 2012. "Learning by disinflating," Research Discussion Papers 10/2012, Bank of Finland.
  15. Chryssi Giannitsarou & Eva Carceles-Poveda, 2004. "Adaptive Learning in Practice," Computing in Economics and Finance 2004 271, Society for Computational Economics.
  16. Chryssi Giannitsarou, 2003. "Heterogeneous Learning," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(4), pages 885-906, October.
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