compute_gini

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

Provides functions to compute recentered influence functions
(RIF) of a distributional variable at the mean, quantiles, variance,
gini or any custom functional of interest. The package allows to
regress the RIF on any number of covariates. Generic print, plot and
summary functions are also provided. Reference: Firpo, Sergio, Nicole M. Fortin, and Thomas Lemieux. (2009) <doi:10.3982/ECTA6822>. "Unconditional Quantile Regressions.".

Samuel Meier

rifreg

Estimate Recentered Influence Function Regression

David Gallusser

compute_gini function

<dl><dt>dep_var</dt>
<dd>values of a non-negative continuous variable</dd>
<dt>weights</dt>
<dd>numeric vector of non-negative observation weights, hence of same length as <code>dep_var</code>.</dd></dl>

Arguments

Compute Gini coefficient — compute_gini

<dl>

<dt>dep_var</dt>
<dd>values of a non-negative continuous variable</dd>


<dt>weights</dt>
<dd>numeric vector of non-negative observation weights, hence of same length as <code>dep_var</code>.</dd>

</dl>

compute_gini: Compute Gini coefficient

Description

Usage

Value

Arguments

References

Examples