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