Precautionary Learning and Inflationary Biases
Recursive least squares learning is a central concept employed in selecting amongst competing outcomes of dynamic stochastic economic models. In employing least squares estimators, such learning relies on the assumption of a symmetric loss function defined over estimation errors. Within a statistical decision making context, this loss function can be understood as a second order approximation to a von-Neumann Morgenstern utility function. This paper considers instead the implications for adaptive learning of a third order approximation. The resulting asymmetry leads the estimator to put more weight on avoiding mistakes in one direction as opposed to the other. As a precaution against making a more costly mistake, a statistician biases his estimates in the less costly direction by an amount proportional to the variance of the estimate. We investigate how this precautionary bias will affect learning dynamics in a model of inflationary biases. In particular we find that it is possible to maintain a lower long run inflation rate than could be obtained in a time consistent rational expectations equilibrium.
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- Alex Cukierman, 2002.
"Are contemporary central banks transparent about economic models and objectives and what difference does it make?,"
Federal Reserve Bank of St. Louis, issue Jul, pages 15-36.
- Cukierman, Alex, 2001. "Are Contemporary Central Banks Transparent about Economic Models and Objectives and What Difference Does it Make?," Discussion Paper Series 1: Economic Studies 2001,05, Deutsche Bundesbank, Research Centre.
- Barro, Robert J & Gordon, David B, 1983. "A Positive Theory of Monetary Policy in a Natural Rate Model," Journal of Political Economy, University of Chicago Press, vol. 91(4), pages 589-610, August.
- Robert J. Barro & David B. Gordon, 1981. "A Positive Theory of Monetary Policy in a Natural-Rate Model," NBER Working Papers 0807, National Bureau of Economic Research, Inc.
- Ruge-Murcia, Francisco J, 2003. " Inflation Targeting under Asymmetric Preferences," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(5), pages 763-785, October.
- Ruge-Murcia, F.J., 2001. "Inflation Targeting Under Asymmetric Preferences," Cahiers de recherche 2001-04, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Francisco J. Ruge-Murcia, 2001. "Inflation Targeting Under Asymmetric Preferences," Working Papers 0106, Banco de España;Working Papers Homepage.
- RUGE-MURCIA, Francisco .J., 2001. "Inflation Targeting Under Asymmetric Preferences," Cahiers de recherche 2001-04, Universite de Montreal, Departement de sciences economiques.
- Francisco Javier Ruge-Murcia, 2001. "Inflation Targeting Under Asymmetric Preferences," IMF Working Papers 01/161, International Monetary Fund.
- William Poole & Robert H. Rasche, 2002. "Flation," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 1-6.
- In-Koo Cho & Noah Williams & Thomas J. Sargent, 2002. "Escaping Nash Inflation," Review of Economic Studies, Oxford University Press, vol. 69(1), pages 1-40.
- Cho, In-Koo & Sargent, Thomas J., 2000. "Escaping Nash inflation," Working Paper Series 0023, European Central Bank.
- Evans, George W. & Honkapohja, Seppo, 1999. "Learning dynamics," Handbook of Macroeconomics,in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 7, pages 449-542 Elsevier.
- Kydland, Finn E & Prescott, Edward C, 1977. "Rules Rather Than Discretion: The Inconsistency of Optimal Plans," Journal of Political Economy, University of Chicago Press, vol. 85(3), pages 473-491, June. Full references (including those not matched with items on IDEAS)
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