de Grauwe, Paul (2010) The scientific foundation of dynamic stochastic general equilibrium (DSGE) models. Public Choice, 144 (3-4). pp. 413-443. ISSN 0048-5829
Full text not available from this repository.Abstract
DSGE-models provide a coherent framework of analysis. This coherence is brought about by restricting acceptable behavior of agents to dynamic utility maximization and rational expectations. The problem of the DSGE-models (and more generally of macroeconomic models based on rational expectations) is that they assume extraordinary cognitive capabilities of individual agents. In addition, these models need a lot of ad-hoc assumptions to make them fit the data. I argue that we need models that take into account the limited cognitive abilities of agents. One can introduce rationality in such models by assuming “trial and error“ learning. I propose such a model and I analyze its implications.
Item Type: | Article |
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Official URL: | http://www.springerlink.com/content/100332/ |
Additional Information: | © 2010 Springer |
Divisions: | European Institute |
Subjects: | H Social Sciences > HB Economic Theory |
JEL classification: | E - Macroeconomics and Monetary Economics > E1 - General Aggregative Models > E13 - Neoclassical E - Macroeconomics and Monetary Economics > E1 - General Aggregative Models > E17 - Forecasting and Simulation E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E30 - General |
Date Deposited: | 05 Oct 2012 14:20 |
Last Modified: | 30 Oct 2024 01:48 |
URI: | http://eprints.lse.ac.uk/id/eprint/46610 |
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