Inequality and Concentration

• The ineq package provides functions for generating Lorenz curves, measuring concentration (Herfindahl, Rosenbluth) and inequality (Gini, Atkinson, Ricci-Schutz/Pietra, Kolm, Theil).
• The lorenz package provides functions for generating Lorenz curves and statistics derived from Lorenz interpolation.
• The acid package provides functions for calculating and decomposing indequality indicies (Gini, sGini, Atkinson, Theil), plotting Pen's Parade, as well as weighted indicies, polarization and generating indicies for known distributions.
• The binequality package provides functions for calculating inequality indicies (Gini, Theil, MLD) on binned data with a right censor.
• The educineq package provides example education data and corresponding results for several inequality indicies (Gini, Theil, MLD).
• The IC2 package includes functions for calculating inequality indicies and their decomposition (sGini, Atkinson, Entropy) and plotting Lorenz and Concentration curves.
• The dineq package provides functions for the decomposition of inequality, weighted indicies (Gini, Theil) and decomposition for changes in inequality.
• The ineqJD package provides functions for calculating and plotting decompositions of inequality (Gini, Bonferroni, Zenga).
• The grattan package provides functions specific to Australian tax policy analysis as well as a few general utility functions, such as progressitivity (Reynolds-Smolensky, Kakwani).
• The iIneq package provides functions for calculating decompositions of inequality (Gini, Theil T, Theil L).
• The laeken package provides functions for calculating quintile, at-risk-of-poverty and fitting Pareto distributions.
• The rtip package provides functions specific to European inequality and poverty and some utility functions for basic quintile and at-risk-of-poverty methods.
• The lctools package provides functions for geographic concentration/inequality (Gini, Spatial Gini, LQ) and Monte Carlo methods for determining their significance.
• The REAT package provides functions for calculating inequality indicies (Gini, Hoover, Thiel, Coulter, Atkinson, Dalton, Williamson), concentration indicies (Herfindahl-Hirschman), regional beta and sigma convergence, regional concentration/specialization (Hoover/Balassa, O’Donoghue-Gleave, Tian, Krugman, Duranton-Puga, Litzenberger-Sternberg), firm agglomeration/coagglomeration (Ellison-Glaeser, Howard et al.), spatial accessibility (Hansen/Harris, Ripley) and regional growth/prognosis.
• The SegEnvIneq package provides functions for measuring spatial centralization and dissimilarity.
• The seg package provides functions for evaluating spatial concentration, dissimilarity and decomposition of these measures.
• The OasisR package provides functions for calculating spaital concentration, dissimilarity and inequality (Massey, Duncan, Atkinson, Morrill, Wong, Gini, Gorard, Shannon, Theil, Simpson, Bell)
• The gglorenz package provides a grammar for generating Lorenz curves with ggplot2.
• The convey package provides functions for measuring inequality and concentration in complex survey data by linking to the survey package.
• The oaxaca package provides functions for Kitagawa–Blinder–Oaxaca Decomposition, useful for decomposing the gap between groups in some continuous outcome.