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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