Set of Stata routines for poverty and inequality analysis

egen_inequal: module providing extension functions for -egen- command to generate inequality and poverty measures
fastgini: calculate Gini coefficient with jackknife standard errors
gicurve: generate growth incidence curve and calculates a measure of the rate of pro-poor growth
gidecomposition: growth and inequality decomposition
pov_robust: poverty stochastic dominance analysis
sedecomposition: sectoral decomposition of poverty changes
gconc: generalized measures of concentration

Endogenous variables and maximum likelihood estimation

movestay: endogenous switching regression. Stata Journal article
switch_probit: binary choice models with binary endogenous regressors. Stata Journal article
bioprobit: bivariate ordered probit regression
bestreg: best variable subset selection
xml_tab: print-ready tables in Stata. Stata Journal article
lookfor_all: search for variables/patterns in .dta files
ppreg: efficient estimation of regressions based on pseudo-panel data

You can browse and install any of the commands by typing:

. net from https://raw.githubusercontent.com/vavalomi/stata_tools/refs/heads/master