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Stability under Learning: the Endogenous Growth Problem

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Author Info
Orlando Gomes () (Instituto Politécnico de Lisboa - Escola Superior de Comunicação Social and UNIDE-ERC)

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Abstract

A local dynamic analysis, in the neighborhood of the steady-state, is developed for one and two-sector endogenous growth models. The problem differs from the conventionally assumed growth setups because one considers that expectations concerning the next period value of the control variable (consumption) are formed through adaptive learning. In such scenario, the found stability conditions reveal that convergence to the unique steady-state point is feasible if a minimum requirement regarding the quality of learning in the long run equilibrium is fulfilled. Therefore, stability of growth under learning is dependentent on the efficiency with which expectations are generated.

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File URL: http://erc.unide.iscte.pt/wpi/ERCwp1708.pdf
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File Function: First version, 2008
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Publisher Info
Paper provided by ISCTE, UNIDE, Economics Research Centre in its series Working Papers with number ercwp1708.

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Length: 29 pages
Date of creation: Jun 2008
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Handle: RePEc:isc:wpaper:ercwp1708

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Related research
Keywords: Endogenous Growth; Adaptive Learning; Stability Analysis.;

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Find related papers by JEL classification:
O41 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
C62 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Existence and Stability Conditions of Equilibrium
D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information

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  1. Orphanides, Athanasios & Williams, John C., 2007. "Robust monetary policy with imperfect knowledge," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1406-1435, July. [Downloadable!] (restricted)
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  2. Sorger, Gerhard, 1998. "Imperfect foresight and chaos: an example of a self-fulfilling mistake," Journal of Economic Behavior & Organization, Elsevier, vol. 33(3-4), pages 363-383, January. [Downloadable!] (restricted)
  3. Albert Marcet & Klaus Adam & Juan Pablo Nicolini, 2008. "Stock Market Volatility and Learning," UFAE and IAE Working Papers 732.08, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC). [Downloadable!]
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  4. Carceles-Poveda, Eva & Giannitsarou, Chryssi, 2007. "Adaptive learning in practice," Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2659-2697, August. [Downloadable!] (restricted)
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  5. Bullard, James & Mitra, Kaushik, 2002. "Learning about monetary policy rules," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1105-1129, September. [Downloadable!] (restricted)
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  6. Athanasios Orphanides & John C. Williams, 2005. "Inflation scares and forecast-based monetary policy," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 498-527, April. [Downloadable!] (restricted)
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  11. Honkapohja, Seppo & Mitra, Kaushik, 2003. "Learning with bounded memory in stochastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 27(8), pages 1437-1457, June. [Downloadable!] (restricted)
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  12. Rebelo, Sergio, 1991. "Long-Run Policy Analysis and Long-Run Growth," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 500-521, June. [Downloadable!] (restricted)
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  14. Manuel A. Gómez, 2003. "Optimal fiscal policy in the Uzawa-Lucas model with externalities," Economic Theory, Springer, vol. 22(4), pages 917-925, November. [Downloadable!] (restricted)
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