compute_gini: Compute Gini coefficient

In rifreg: Estimate Recentered Influence Function Regression

Compute Gini coefficient

Description

Compute a weighted Gini coefficient by integrating the generalized Lorenz curve.

Usage

compute_gini(dep_var, weights)

Arguments

dep_var	values of a non-negative continuous variable
weights	numeric vector of non-negative observation weights, hence of same length as dep_var.

Value

The numeric value indicating the weighted Gini coefficient of the the dependent variable.

References

Firpo, Sergio P., Nicole M. Fortin, and Thomas Lemieux. 2018. “Decomposing Wage Distributions Using Recentered Influence Function Regressions.” Econometrics 6(2), 28.

Examples

set.seed(123)
dep_var <- rlnorm(100)
weights <- rep(1, 100)
compute_gini(dep_var, weights)

rifreg documentation built on June 21, 2025, 5:08 p.m.