estimate_ob_decompose: Estimate OB decomposition

Description

The function performs the linear Oaxaca-Blinder decomposition.

Usage

estimate_ob_decompose(
  formula,
  data_used,
  reference_0,
  normalize_factors,
  compute_analytical_se,
  return_model_fit,
  reweighting,
  rifreg,
  rifreg_statistic,
  rifreg_probs,
  custom_rif_function,
  na.action,
  vcov,
  ...
)

Arguments

formula: formula object
data_used: data.frame with data used for estimation (including weight and group variable)
reference_0: boolean: indicating if group 0 is the reference group and if its coefficients are used to compute the counterfactual mean.
normalize_factors: boolean: If `TRUE`, then factor variables are normalized as proposed by Gardeazabal/Ugidos (2004)
compute_analytical_se: boolean: If `TRUE`, then analytical standard errors for decomposition terms are calculated (assuming independence between groups).
return_model_fit: boolean: If `TRUE`, then model objects are returned.
reweighting: boolean: if `TRUE`, then the decomposition is performed with with respect to reweighted reference group.
rifreg: boolean: if `TRUE`, then RIF decomposition is performed
rifreg_statistic: string containing the distributional statistic for which to compute the RIF.
rifreg_probs: a vector of length 1 or more with probabilities of quantiles.
custom_rif_function: the RIF function to compute the RIF of the custom distributional statistic.
na.action: generic function that defines how NAs in the data should be handled.
vcov: unction estimating covariance matrix of regression coefficients if compute_analytical_se == TRUE
...: additional parameters passed to custom_rif_function