R2: Estimate treatment variation R2

In hettx: Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation

Estimate treatment variation R2

Description

Bounds the R2 measure (how much of treatment variation is explained by given covariates) using either the OLS output for the ITT from est.beta, or the LATE estimation from est.beta.

Usage

R2(est.beta, rho.step)

Arguments

est.beta	The output from 'est.beta()'. Either an estimate of overall systematic effect variation, or systematic effect variation for compliers.
rho.step	Grid size for sensitivity analysis on values of rho. Default is 0.05

Value

RI.R2.result object.

See Also

print.RI.R2.result

Examples

df <- make.randomized.dat( 1000, gamma.vec=c(1,1,1,2), beta.vec=c(-1,-1,1,0) )
es <- estimate_systematic( Yobs ~ Z,  interaction.formula = ~ A + B, data = df )
r2_out <- R2(es)

hettx documentation built on Aug. 20, 2023, 1:06 a.m.