adj_tstat: adj_tstat

In williazo/gps.continuousnav:

Description

This function allows the user to calculate the t-test statistics adjusted for the Generalized Propensity Score. It follows the development of Hirano and Imbens (2004).

Usage

adj_tstat(dt, quant, block_size, gps_mat, covs)

Arguments

dt	Data.frame object in R. This data frame must have quant and covs as variable names
quant	Character value identifying the categorical values for the treatment variables
block_size	Scalar value that defines the number of blocks to create based on the GPS values evaluated at the median of the quantile. The default is five blocks.
gps_mat	Matrix with the generalized propensity score values for each individual evaluated at the median of each treatment interval
covs	Character value or vector that contains the covariate to check for balance

Value

List of objects

williazo/gps.continuousnav documentation built on May 8, 2019, 6:57 p.m.