In this paper we consider regression models with forecast feedback. Agents' expectations are formed via the recursive …

In this paper we consider regression models with forecast feedback. Agents' expectations are formed via the recursive …

Strong consistency of least squares estimators of the slope parameter in simple linear regression models is established …

amounts to a static, cointegrating or co-explosiveness regression. With decreasing gain learning, the regressors are …

We study the strong consistency and asymptotic normality of the maximum likelihood estimator for a class of time series … processes. We formulate primitive conditions for global identification, invertibility, strong consistency, and asymptotic …

obtained in all models although the near-optimal condition for the strong consistency of OLS in linear regression models with …This paper looks at the strong consistency of the ordinary least squares (OLS) estimator in a stereotypical … the estimator's convergence in distribution and its weak consistency in the same setting. Under constant gain learning …

coefficient. Hence, the notionof near cointegration helps to bridge the gap between the polar cases ofspurious regression and …