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Central bank’s macroeconomic projections and learning

  • Giuseppe Ferrero

    (Banca d'Italia)

  • Alessandro Secchi

    (Banca d'Italia)

We study the impact of the publication of central bank’s macroeconomic projections on the dynamic properties of an economy where: (i) private agents have incomplete information and form their expectations using recursive learning algorithms, (ii) the short-term nominal interest rate is set as a linear function of the deviations of inflation and real output from their target level and (iii) the central bank, ignoring the exact mechanism used by private agents to form expectations, assumes that it can be reasonably approximated by perfect rationality and releases macroeconomic projections consistent with this assumption. Results in terms of stability of the equilibrium and speed of convergence of the learning process crucially depend on the set of macroeconomic projections released by the central bank. In particular, while the publication of inflation and output gap projections enlarges the set of interest rate rules associated with stable equilibria under learning and helps agents to learn faster, the announcement of the interest rate path exerts the opposite effect. In the latter case, in order to stabilize expectations and to speed up the learning process the response of the policy instrument to inflation should be stronger than under no announcement.

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Paper provided by National Bank of Poland, Economic Institute in its series National Bank of Poland Working Papers with number 72.

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Length: 50
Date of creation: 2010
Date of revision:
Handle: RePEc:nbp:nbpmis:72
Note: The paper was presented at the National Bank of Poland’s conference „Publishing Central Bank forecast in theory and practice” held on 5–6 November 2009 in Warsaw.
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Web page: http://www.nbp.pl/Homen.aspx?f=/en/publikacje/materialy_i_studia/informacja_en.html

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  1. Michael Woodford, 2005. "Central Bank Communication and Policy Effectiveness," NBER Working Papers 11898, National Bureau of Economic Research, Inc.
  2. Eusepi, Stefano & Preston, Bruce, 2007. "Central bank communication and expectations stabilization," Proceedings, Federal Reserve Bank of San Francisco, issue March, pages 1-43.
  3. Bullard, James & Mitra, Kaushik, 2002. "Learning about monetary policy rules," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1105-1129, September.
  4. George A. Kahn, 2007. "Communicating a policy path: the next frontier in central bank transparency?," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 25-51.
  5. Marcet, Albert & Sargent, Thomas J., 1989. "Convergence of least squares learning mechanisms in self-referential linear stochastic models," Journal of Economic Theory, Elsevier, vol. 48(2), pages 337-368, August.
  6. Seppo Honkapohja & Kaushik Mitra & George W. Evans, 2011. "Notes on Agents¡¯ Behavioral Rules Under Adaptive Learning and Studies of Monetary Policy," CDMA Working Paper Series 201102, Centre for Dynamic Macroeconomic Analysis.
  7. Glenn D. Rudebusch & John C. Williams, 2006. "Revealing the secrets of the temple: the value of publishing central bank interest rate projections," Working Paper Series 2006-31, Federal Reserve Bank of San Francisco.
  8. Giuseppe Ferrero & Alessandro Secchi, 2009. "The Announcement of Monetary Policy Intentions," Temi di discussione (Economic working papers) 720, Bank of Italy, Economic Research and International Relations Area.
  9. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
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