Skip to contents

Complier covariate means

Source: R/compliers.R
complier_means.Rd

Compares the average of each covariate in the full estimation sample with its average in the complier subpopulation, the latter computed with the normalized Abadie kappa weights of kappa_weights(). Because the local average treatment effect is a causal effect for compliers, knowing how compliers differ from the population aids interpretation. This is the Stata estat compliers postestimation feature.

Usage

complier_means(object, vars = NULL)

Arguments

object

A fitted drlate() object (with keep_data = TRUE) using an instrument propensity score (any method except "ra").

vars

Optional character vector selecting a subset of the model covariates. Defaults to all covariates across the three model formulas.

Value

A data frame with one row per covariate and columns variable, population_mean, complier_mean, and difference (complier_mean - population_mean).

Details

Covariate values are reported on their original scale.

See also

kappa_weights()

Examples

fit <- drlate(lwage ~ age + educ, nvstat ~ age + educ,
              rsncode ~ age + educ, data = drlate_sim)
complier_means(fit)
#>       variable population_mean complier_mean   difference
#> 1          age         34.5560    34.3303393 -0.225660695
#> 2  educcollege          0.3615     0.3590211 -0.002478943
#> 3 educgraduate          0.1395     0.1431700  0.003670025