PAV | R Documentation |
This function estimates the Population Average Value. The details of the methods for this design are given in Imai and Li (2019).
PAV(T, That, Y, centered = TRUE)
T |
A vector of the unit-level binary treatment receipt variable for each sample. |
That |
A vector of the unit-level binary treatment that would have been assigned by the
individualized treatment rule. If |
Y |
A vector of the outcome variable of interest for each sample. |
centered |
If |
A list that contains the following items:
pav |
The estimated Population Average Value. |
sd |
The estimated standard deviation of PAV. |
Michael Lingzhi Li, Technology and Operations Management, Harvard Business School mili@hbs.edu, https://www.michaellz.com/;
Imai and Li (2019). “Experimental Evaluation of Individualized Treatment Rules”,
T = c(1,0,1,0,1,0,1,0)
That = c(0,1,1,0,0,1,1,0)
Y = c(4,5,0,2,4,1,-4,3)
pavlist <- PAV(T,That,Y)
pavlist$pav
pavlist$sd
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