This insert describes the module akdensity. akdensity extends the official kdensity that estimates density functions by the kernel method. The extensions are of two types: akdensity allows the use of an "adaptive kernel" approach with varying, rather than fixed, bandwidths; and akdensity...

This paper considers measures of wage differentials not solely determined by mean comparisons but summarizing differences across complete wage distributions. The approach builds on considerations of risk or inequality aversion and on standard expected utility concepts. In an application to the...

The current poverty rate and the persistent poverty rate are both included in the EU's portfolio of primary indicators of social inclusion. We show that there is a near-linear relationship between these two indicators across EU countries drawing on empirical analysis of EU-SILC and ECHP data....

In this article, I describe estimation of the kernel-smoothed cumulative distribution function with the user-written package akdensity, with formulas and an example.

This presentation illustrates Stata’s implementation of the repeated half-sample bootstrap proposed by Saigo et al. (2001, Survey Methodology). This resampling scheme is easy to implement and is appropriate for complex survey designs, even with small stratum sizes. The user-written...

The glcurve command is updated to a Stata 7 version, glcurve7, which is described and illustrated. Copyright 2001 by Stata Corporation.

The study of the upper tail of the income and wealth distributions is important to the understanding of economic inequality. By means of the ‘isograph’, a new tool to describe income or wealth distributions, the authors compare wealth and income and wealth-to-income ratios in 16 European...

This paper considers a parametric model for the joint distribution of income and wealth. The model is used to analyze income and wealth inequality in five OECD countries using comparable household-level survey data. We focus on the dependence parameter between the two variables and study whether...