Showing 1 - 7 of 7
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...
Persistent link: https://www.econbiz.de/10005041767
In the standard survival model, the risk of failure is non-zero for all cases. A split-population (or cure) survival model relaxes this assumption and allows an (estimable) fraction of cases never to experience the event. This presentation reports on an implementation of a discrete time (or...
Persistent link: https://www.econbiz.de/10005102734
This talk discusses ineqrbd, a program for OLS regression-based decomposition suggested by G.S. Fields (“Accounting for Income Inequality and Its Change: A New Method, with Application to the Distribution of Earnings in the United States”, Research in Labor Economics, 2003). It provides an...
Persistent link: https://www.econbiz.de/10005102766
This presentation reviews methods for summarizing and comparing income distributions, together with the related literature about variance estimation for a range of summary measures. Although the focus is on income and the perspective is that of an economist, the methods have been widely applied...
Persistent link: https://www.econbiz.de/10005053292
This short talk introduces and illustrates svylorenz, a Stata 9 program for computing variance estimates for quantile group shares of total varname, cumulative quantile group shares (i.e., Lorenz curve ordinates), and the Gini coefficient. The program implements the linearization methods...
Persistent link: https://www.econbiz.de/10005053302
These minutes summarize StataCorp president Bill Gould's remarks in a Report to Users, and a "Wishes and Grumbles" session in which users made suggestions to Messrs Gould and Gutierrez.
Persistent link: https://www.econbiz.de/10005074208
Martin Biewen and I have derived the sampling variances of Generalized Entropy and Atkinson indices for the case they are estimated from survey data with a complex design. This talk illustrates how the indices may calculated in Stata, using our commands -svyatk- and -svygei-. The empirical...
Persistent link: https://www.econbiz.de/10005074337