This paper explores the patterns of change in the annual household income in the countries of the European Community during the years 1994-1999. The income is modelled by mixtures of multivariate log-normal distributions, and the mixture components are interpreted as representing one...

Estimating a density function over a bounded domain can be very complicated and resulting in an unsatisfactory or unrealistic density estimate. In many cases a one-to-one transformation can be applied to the considered data set, but there are also situations where such a unique transformation...

Various features of econometric data can be analyzed by non-parametric approach. This review summarizes some of the most important procedures in curve estimation that has been very useful in the field of econometrics. Specifically, it describes the theory and the applications of non-parametric...

This paper studies purely empirically aspects of the distribution of income within small neighborhoods and contrasts it with the income distribution at higher level of aggregation, such as census tracts and metropolitan areas. It relies on a unique feature of the American Housing Survey, whose...

Variable kernel hazard estimators are considered in the case, where the bandwidth is allowed to depend on the exposure. Simulations show, that when the exposure varies substantially, then this can improve the performance of the basic kernel smoother con-siderable. A two-stage approach for kernel...

This paper introduces a new bias reducing method for kernel hazard estimation. The method is called global polynomial adjustment (GPA). It is a global correction which is applicable to any kernel hazard estimator. The estimator works well from a theoretical point of view as it symptotically...