A class of local linear kernel density estimators based on weighted least squares kernel estimation is considered within the framework of Aalen's multiplicative intensity model. This model includes the filtered data model that, in turn, allows for truncation and/or censoring in addition to...

The commonly used survey technique of clustering introduces dependence into sample data. Such data is frequently used in economic analysis, though the dependence induced by the sample structure of the data is often ignored. In this paper, the effect of clustering on the non-parametric, kernel...

Most economic data are difficult to explore with the global window width kernel density estimator, because they require different amounts of smoothing in different locations. When data are right-skewed one possible approach to this problem is based on transformations of the data. We propose a...

One of the stylized facts of unemployment is that shifts in its mean rate between decades and half-decades account for most of its variance. In this paper, we use a purely statistical analysis based on nonparametric densitity estimation techniques to identify the dates of infrequent changes in...