Finite Horizon Learning
Incorporating adaptive learning into macroeconomics requires assumptions about how agents incorporate their forecasts into their decision-making. We develop a theory of bounded rationality that we call finite-horizon learning. This approach generalizes the two existing benchmarks in the literature: Eulerequation learning, which assumes that consumption decisions are made to satisfy the one-step-ahead perceived Euler equation; and infinite-horizon learning, in which consumption today is determined optimally from an infinite-horizon optimization problem with given beliefs. In our approach, agents hold a finite forecasting/planning horizon. We find for the Ramsey model that the unique rational expectations equilibrium is E-stable at all horizons. However, transitional dynamics can differ significantly depending upon the horizon.
|Date of creation:||2012|
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- Roger Guesnerie, 2005.
"Assessing Rational Expectations 2: eductive stability in economics,"
- Roger Guesnerie, 2005. "Assessing Rational Expectations 2: "Eductive" Stability in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262072580.
- Bruce Preston, 2003.
"Learning about monetary policy rules when long-horizon expectations matter,"
FRB Atlanta Working Paper
2003-18, Federal Reserve Bank of Atlanta.
- Bruce Preston, 2005. "Learning about Monetary Policy Rules when Long-Horizon Expectations Matter," International Journal of Central Banking, International Journal of Central Banking, vol. 1(2), September.
- Preston, Bruce, 2005. "Learning about Monetary Policy Rules when Long-Horizon Expectations Matter," MPRA Paper 830, University Library of Munich, Germany.
- Bullard, James & Mitra, Kaushik, 2002.
"Learning about monetary policy rules,"
Journal of Monetary Economics,
Elsevier, vol. 49(6), pages 1105-1129, September.
- George W. Evans & Seppo Honkapohja & Kaushik Mitra, 2007.
"Anticipated Fiscal Policy and Adaptive Learning,"
CDMA Working Paper Series
200717, Centre for Dynamic Macroeconomic Analysis.
- George W. Evans & Seppo Honkapohja & Kaushik Mitra, 2007. "Anticipated Fiscal Policy and Adaptive Learning," University of Oregon Economics Department Working Papers 2007-5, University of Oregon Economics Department, revised 13 Dec 2008.
- Evans, G.W. & Honkapohja ,S. & Mitra, K., 2007. "Anticipated Fiscal Policy and Adaptive Learning," Cambridge Working Papers in Economics 0705, Faculty of Economics, University of Cambridge.
- Evans, George W. & Honkapohja, Seppo & Mitra, Kaushik, 2007. "Anticipated Fiscal Policy and Adaptive Learning," CEPR Discussion Papers 6216, C.E.P.R. Discussion Papers.
- Bray, Margaret M & Savin, Nathan E, 1986. "Rational Expectations Equilibria, Learning, and Model Specification," Econometrica, Econometric Society, vol. 54(5), pages 1129-1160, September.
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