| PAPD {experiment} | R Documentation |
Estimation of the Population Average Prescription Difference in Completely Randomized Experiments
Description
This function estimates the Population Average Prescription Difference with a budget constraint. The details of the methods for this design are given in Imai and Li (2019).
Usage
PAPD(T, Thatfp, Thatgp, Y, plim)
Arguments
T |
The unit-level binary treatment receipt variable. |
Thatfp |
The unit-level binary treatment that would have been assigned by the first individualized treatment rule. |
Thatgp |
The unit-level binary treatment that would have been assigned by the second individualized treatment rule. |
Y |
The outcome variable of interest. |
plim |
The maximum percentage of population that can be treated under the budget constraint. Should be a decimal between 0 and 1. |
Value
A list that contains the following items:
papd |
The estimated Population Average Prescription Difference |
sd |
The estimated standard deviation of PAPD. |
Author(s)
Michael Lingzhi Li, Operations Research Center, Massachusetts Institute of Technology mlli@mit.edu, http://mlli.mit.edu;
References
Imai and Li (2019). “Experimental Evaluation of Individualized Treatment Rules”,