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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Paper provided by ISCTE, UNIDE, Economics Research Centre in its series Working Papers with number
ercwp1708.
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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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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).
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