SKS.pool.t {hettx}

SKS.pool.t

Description

Subtract off group level treatment effect estimates and then look at KS statistic on residuals.

Usage

SKS.pool.t(Y, Z, W)

Arguments

Y

Observed outcome vector

Z

Treatment assigment vector

W

A a factor or categorical covariate.

Details

Distinct from the interacted lm in that the control units are not shifted and centered with respect to eachother.

Examples

df <- make.randomized.dat( 1000, gamma.vec=c(1,1,1,2), beta.vec=c(-1,-1,1,0) )
df$W <- sample(c("A", "B", "C"), nrow(df), replace = TRUE)
SKS.pool.t(df$Yobs, df$Z, df$W)