This paper develops procedures for the estimation of a common localizing parameter using panel data. Pooling information across individuals in a panel aids the identification and estimation of the localising parameter and leads to consistent estimation in somple panel models. However, in the...

In this paper we show how the assumption that higher moments do not depend on the regressors can be exploited in a GMM framework, and we provide very simple estimators that are equivalent to GMM estimators. These simple estimators can be calculated by linear regressions which have been augmented...

This paper describes the estimation and testing of regression models that include multivariate generated or computed regressors in the presence of heteroskedasticity in the cross-section case. Heteroskedasticity is often a problem in cross-section data and the usual tests for its presence can...

This paper describes a methodology for implementing bidirectional/break frequency-selective filters in cases where the data sequence is short and nonstationary. A sime method is proposed for dealing with start-up problem. The method has a firm theoretical basis and it is computationally efficient.

In this paper the authors study the problem of non parametric estimation of an unknown regression function from dependent data with sub-Gaussian errors. As a particular case, they handle the autoregressive framework.