Print Methods for Treatment Effect Estimators.

Inference methods for treatment effect estimators.

Usage

# S3 method for summary.ddml_fpliv
print(x, digits = 3, ...)

# S3 method for summary.ddml_pliv
print(x, digits = 3, ...)

# S3 method for summary.ddml_plm
print(x, digits = 3, ...)

Arguments

x

An object of class summary.ddml_plm, summary.ddml_pliv, and summary.ddml_fpliv, as returned by summary.ddml_plm(), summary.ddml_pliv(), and summary.ddml_fpliv(), respectively.

digits

Number of significant digits used for priniting.

...

Currently unused.

Value

NULL.

Examples

# Construct variables from the included Angrist & Evans (1998) data
y = AE98[, "worked"]
D = AE98[, "morekids"]
X = AE98[, c("age","agefst","black","hisp","othrace","educ")]

# Estimate the partially linear model using a single base learner, ridge.
plm_fit <- ddml_plm(y, D, X,
                    learners = list(what = mdl_glmnet,
                                    args = list(alpha = 0)),
                    sample_folds = 2,
                    silent = TRUE)
summary(plm_fit)
#> PLM estimation results: 
#>  
#> , , single base learner
#> 
#>              Estimate Std. Error t value Pr(>|t|)
#> (Intercept) -0.000264    0.00689 -0.0383 9.69e-01
#> D_r         -0.145978    0.01476 -9.8891 4.64e-23
#>