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...

This presentation describes a Stata implementation of a space-filling location selection algorithm. The objective is to select a subset from a discrete list of locations so that the spatial coverage of the locations by the selected subset is optimized according to a geometric criterion. Such an...

The talk illustrates a user-written command that extends the official kdensity to estimate density functions by the kernel method. The extensions are of two types. Firstly, the new command allows the use of an 'adaptive kernel' approach with varying, rather than fixed, bandwidths. Secondly,...

A set of Stata routines to help analysis of `income mobility' are presented and illustrated. Income mobility is taken here as the pattern of income change from one time period to another within an income distribution. Multiple approaches have been advocated to assess the magnitude of income...

This talk presents a simple graphical device for visualization of patterns of income mobility. The device uses color palettes to picture information contained in transition matrices created from a fine partition of the marginal distributions. The talk explains how these graphs can be constructed...

Social scientists are increasingly fitting multilevel models to datasets in which a large number of individuals (N ~ several thousands) are nested within each of a small number of countries (C ~ 25). The researchers are particularly interested in “country effectsâ€, as summarized by...

This talk will describe some programs to fit generalized beta of the second kind, Singh-Maddala, Dagum, and lognormal distributions to data on income or indeed any other skewed variable of interest. The programs allow the key distributional parameters to vary with covariates, and also handle svy...

This report summarises the 'wishes and grumbles' session from the Ninth UK Stata Users Group meeting.

We discuss the application of the GHK simulation method to maximum likelihood estimation of the multivariate probit regression model, and describe and illustrate a Stata program mvprobit for this purpose.

This short talk describes the module -dsginideco- which decomposes the change in income inequality between two time periods into two components, one representing the progressivity (pro-poorness) of income growth, and the other representing reranking. Inequality is measured using the generalized...