estimate_ob_decompose {ddecompose}

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