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In this paper we consider regression models with forecast feedback. Agents' expectations are formed via the recursive estimation of the parameters in an auxiliary model. The learning scheme employed by the agents belongs to the class of stochastic approximation algorithms whose gain sequence is...
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This paper examines the ordinary least squares (OLS) estimator of the structural parameters in a class of stylised macroeconomic models in which agents are boundedly rational and use an adaptive learning rule to form expectations of the endogenous variable. The popularity of this type of model...
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In this article consistency and asymptotic normality of the quasi-maximum likelihood esti- mator (QMLE) in the class of … introduced by (Duan, 1997) which contains many commonly employed GARCH models as special cases. The conditions for consistency … normality ; consistency ; polynomial augmented GARCH models ; quasi-maximum likelihood estimation …
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