get_rif_variance

Function to estimate the recentered influence function (RIF) of the variance
of a weighted distribution of a dependent variable.

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

get_rif_variance function

<dl><dt>dep_var</dt>
<dd>dependent variable of a distributional function. Discrete or continuous numeric vector.</dd>
<dt>weights</dt>
<dd>numeric vector of non-negative observation weights, hence of same length as <code>dep_var</code>.
The default (<code>NULL)</code> is equivalent to <code>weights = rep(1, length(dep_var))</code>.</dd></dl>

Arguments

Estimate RIF of variance — get_rif_variance

<dl>

<dt>dep_var</dt>
<dd>dependent variable of a distributional function. Discrete or continuous numeric vector.</dd>


<dt>weights</dt>
<dd>numeric vector of non-negative observation weights, hence of same length as <code>dep_var</code>.
The default (<code>NULL)</code> is equivalent to <code>weights = rep(1, length(dep_var))</code>.</dd>

</dl>

get_rif_variance: Estimate RIF of variance

Description

Usage

Value

Arguments

Examples