Class InequalityMetrics

java.lang.Object

org.episteme.social.economics.InequalityMetrics

public final class InequalityMetrics
extends Object

Advanced metrics for analyzing economic inequality, including Gini coefficients and Lorenz curve generation.

Since:

1.0

Version:

1.2

Author:

Silvere Martin-Michiellot, Gemini AI (Google DeepMind)

Method Summary

Modifier and Type	Method	Description
static Real	calculateGini(Real[] incomes)	Overload for Real arrays.
static Real	calculateGini(Quantity<?>[] incomes)	Calculates the Gini coefficient for a population income set (Quantities).
static List<Real[]>	getLorenzCurve(Real[] incomes)	Overload for Real arrays.
static List<Real[]>	getLorenzCurve(Quantity<?>[] incomes)	Generates a list of coordinates (x, y) representing the Lorenz curve.

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

calculateGini

public static Real calculateGini(Quantity<?>[] incomes)

Calculates the Gini coefficient for a population income set (Quantities). Higher values indicate greater inequality.

calculateGini

public static Real calculateGini(Real[] incomes)

Overload for Real arrays.

getLorenzCurve

public static List<Real[]> getLorenzCurve(Quantity<?>[] incomes)

Generates a list of coordinates (x, y) representing the Lorenz curve.

getLorenzCurve

public static List<Real[]> getLorenzCurve(Real[] incomes)

Overload for Real arrays.