get_rif_interquantile_range {rifreg}

Estimate RIF of interquantile range

Description

Compute the recentered influence function (RIF) of a weighted interquantile range.

Usage

get_rif_interquantile_range(dep_var, weights, probs, ...)

Arguments

dep_var

dependent variable of distributional function. Discrete or continuous numeric vector.

weights

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

probs

a vector of length 2 with probabilities corresponding to the limits of the interquantile range of interest. The interquantile range is defined as difference between the quantile with the larger probability and the one with the lower probability.

...

further arguments passed on to density.

Value

A data frame with one column containing the RIF of the interquantile range for each observation and one column containing the weights.

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)
get_rif_interquantile_range(dep_var, probs = c(0.1, 0.9), weights = weights)