True estimands for Carlotti and Parast (2026) — estimands_Carlotti_and_Parast

A dataset containing the Monte Carlo estimates of the parameters of interest for the two simulation settings considered in Carlotti and Parast (2026): setting 1 (binary covariate) and setting 2 (Gaussian covariate).

Usage

estimands_Carlotti_and_Parast_2026

Format

A data frame with 2 rows and 7 columns:

setting: The index of the simulation setting.
U_Y_MC: Monte Carlo estimate of \(U_Y = P(Y_{1i} > Y_{0j})\).
U_S_MC: Monte Carlo estimate of \(U_S = P(S_{1i} > S_{0j})\).
delta_MC: Monte Carlo estimate of \(\delta = U_Y - U_S\).
V_Y_MC: Monte Carlo estimate of \(V_Y = P(Y_{1i} > Y_{0i})\).
V_S_MC: Monte Carlo estimate of \(V_S = P(S_{1i} > S_{0i})\).
theta_MC: Monte Carlo estimate of \(\theta = V_Y - V_S\).

Source

Computed using the function compute_estimands_Carlotti_and_Parast_2026(1000000).