att: Estimating the ATT from an hbal object

In hbal: Hierarchically Regularized Entropy Balancing

Estimating the ATT from an hbal object

Description

att estimates the average treatment effect on the treated (ATT) from an hbal object returned by hbal.

Usage

att(hbalobject, method="lm_robust", dr=TRUE, displayAll=FALSE, alpha=0.9, ...)

Arguments

hbalobject	an object of class hbal as returned by hbal.
method	estimation method for the ATT. Default is the Lin (2016) estimator.
dr	doubly robust, whether an outcome model is included in estimating the ATT.
displayAll	only displays treatment effect by default.
alpha	tuning paramter for glmnet
...	arguments passed to lm_lin or lm_robust

Details

This is a wrapper for lm_robust and lm_lin from the estimatr package.

Value

A matrix of estimates with their robust standard errors

Author(s)

Yiqing Xu, Eddie Yang

Examples

#EXAMPLE 1
set.seed(1984)
N <- 500
X1 <- rnorm(N)
X2 <- rbinom(N,size=1,prob=.5)
X <- cbind(X1, X2)
treat <- rbinom(N, 1, prob=0.5) # Treatment indicator
y <- 0.5 * treat + X[,1] + X[,2] + rnorm(N) # Outcome
dat <- data.frame(treat=treat, X, Y=y)
out <- hbal(Treat = 'treat', X = c('X1', 'X2'), Y = 'Y', data=dat)
sout <- summary(att(out))

hbal documentation built on Sept. 10, 2025, 10:36 a.m.