sandACT function

Calculates standard error of Average causal effect on the treated

This is a support function for ui.causal and calculates standard error of Average causal effect on the treated for the doubly robust estimator.

sandACT(deltasigma1, X, Xz, y, z, u, BetaOLSy0, phat, NaivEst, n1, n0, N,
  p, pz)

Arguments

• deltasigma1: Coefficients.
• X: Covariate matrix outcome.
• Xz: Covariate matrix treatment.
• y: Outcome vector.
• z: Missingness indicator.
• u: Fitted values from propensity score regression.
• BetaOLSy0: Coefficients from non-treated regression
• phat: Fitted propensity scores.
• NaivEst: Naiv estimates.
• n1: Number of treated.
• n0: Number of non-treated.
• N: Total number.
• p: Number of covariates outcome regression.
• pz: Number of covariates treatment regression.