estimation of the parameters in an auxiliary model. The learning scheme employed by the agents belongs to the class of stochastic …

macroeconomic models in which agents are boundedly rational and use an adaptive learning rule to form expectations of the endogenous … estimate it empirically. Two prominent learning algorithms are considered, namely constant gain and decreasing gain learning …. For each of the two learning rules, the analysis proceeds in two stages. First, the paper derives the asymptotic …

macroeconomic model with adaptive learning. It is a companion to Christopeit & Massmann (2017, Econometric Theory) which considers … the estimator's convergence in distribution and its weak consistency in the same setting. Under constant gain learning … decreasing gain learning, the regressors in the model are asymptotically collinear. The paper examines, first, the issue of …

macroeconomic model with adaptive learning. It is a companion to Christopeit & Massmann (2017, Econometric Theory) which considers … the estimator's convergence in distribution and its weak consistency in the same setting. Under constant gain learning … decreasing gain learning, the regressors in the model are asymptotically collinear. The paper examines, first, the issue of …

estimation of the parameters in an auxiliary model. The learning scheme employed by the agents belongs to the class of stochastic …

parameters in a stylised macroeconomic model in which agents are boundedly rational and use an adaptive learning rule to form … expectations of the endogenous variable. In particular, when the learning recursion is subject to so-called decreasing gain …