No BSD License  

Highlights from
Inequality Package

  • AtkinsonIneq(w, epsilon) The function computes the Atkinson Inequality Index for the wealth vector w associated to single individuals.
  • GiniCoeff(p, w) The function computes the Gini Coefficient for populations p associated to wealth w.
  • GiniCoeff2(p, w) The function computes a variant of the Gini Coefficient for populations p associated to wealth w.
  • TheilLIneq(w) The function computes the Theil-L Inequality Index for the wealth vector w associated to single individuals.
  • TheilTIneq(w) The function computes the Theil-T Inequality Index for the wealth vector w associated to single individuals.
  • plotLorenzCurve(p, w) The function plots the Lorenz Curve, where populations from the poorer to the richer
  • View all files
image thumbnail
from Inequality Package by Francesco Pozzi
Inequality Metrics: Gini Coefficient associated to the Lorenz Curve, Theil and Atkinson Indexes

plotLorenzCurve(p, w)
function plotLorenzCurve(p, w)

% The function plots the Lorenz Curve, where populations from the poorer to the richer
% are on the x-axis and associated wealth is on the y-axis
% p and w must be vectors of same size, only positive values are allowed for p, only
% non-negative values are allowed for w (with at least one i such that w(i) > 0).
% p is the vector of populations and w is the vector of wealth
%
% http://en.wikipedia.org/wiki/Lorenz_curve
% http://en.wikipedia.org/wiki/Gini_coefficient
% http://en.wikipedia.org/wiki/Theil_index
% http://en.wikipedia.org/wiki/Atkinson_index
%
% -*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
% -*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
%
% Example: LogNormal logN(0, 1)
% N = 1000;                                           % Number of populations
% p = rand(N, 1);                                     % Population extracted from a Uniform U(0, 1)
% w = exp(randn(N, 1));                               % Wealth extracted from a LogNormal logN(0, 1)
% plotLorenzCurve(p, w)
%
% -*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
% -*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
%
% Written by
% Francesco Pozzi
% 19 May 2008
%

ctrl = isvector(p) & isnumeric(p) & isreal(p) & isvector(w) & isnumeric(w) & isreal(w);
if ctrl
  p = p(:);
  w = w(:);
  ind = ~isnan(p) & ~isinf(p) & ~isnan(w) & ~isinf(w);
  p = p(ind);
  w = w(ind);
else
  error('Population and/or Wealth Values incorrect!')
end

ctrl = all(p > 0) & all(w >= 0);
ctrl = ctrl & (length(p) == length(w));
if ~ctrl
  error('Population and/or Wealth Values incorrect!')
end

pw = [p, p .* w, w];
pw = sortrows(pw, 3);                                                       % Sort with respect to Total Wealth
pw = cumsum(pw);
pw = pw ./ repmat(pw(end, :), length(p), 1);                                % Cumulative p & w, normalized to 1

figure('Position', [10 50 1280 600]);
plot([0; pw(:, 1)], [0; pw(:, 2)], 'LineWidth', 2)                          % Lorenz Curve
hold on
plot([0, 1], [0, 1], 'r', 'LineWidth', 2);                                  % Perfect Equality Line (45 Degree Slope)
plot((0.01:0.01:1), (0.01:0.01:1) .^ 2, 'g', 'LineWidth', 2);               % Uniform Random Distribution
title('Lorenz Curve', 'FontWeight', 'bold', 'FontSize', 16);
xlabel('Cumulative Percentage of Population from the poorer to the richer', 'FontWeight', 'bold', 'FontSize', 16);
ylabel('Cumulative Percentage of Wealth', 'FontWeight', 'bold', 'FontSize', 16);

set(gca, 'FontWeight', 'bold');
set(gca, 'FontSize', 16);
set(gca, 'LineWidth', 1);
set(gca, 'Color', [1 1 0.9]);
set(gca, 'Box', 'on');
set(gcf, 'Color', [1 1 0.9]);

h = legend('Lorenz Curve', 'Perfect Equality Line (45 Degree Slope)', 'Uniform Random Distribution', 1);
set(h, 'FontSize', 12, 'EdgeColor', 'none', 'Location', 'NorthWest')

Contact us at files@mathworks.com