compute_g_level_summaries: Calculate group level summary statistics

In staggered: Efficient Estimation Under Staggered Treatment Timing

Description

This function computes the mean-vector and covariance matrix of the outcomes for each cohort, where a cohort g is a group of units first treated in period g

Usage

compute_g_level_summaries(df, is_balanced = TRUE)

Arguments

df	A data frame containing panel data with the variables y (an outcome), i (an individual identifier), t (the period in which the outcome is observe), g (the period in which i is first treated, with Inf denoting never treated)
is_balanced	If true, the df has previously been balanced so this does not need to be done internally.

Value

Y_bar_list A list of the means of the outcomes for each cohort g

S_g_list A list of covariance matrices for the outcomes for each cohort g

N_g_list A list of the number of observations for each cohort g

g_list A list of when the cohorts were first treated

t_list A list of the the time periods for the outcome. The vector of outcomes corresponds with this order.

staggered documentation built on Sept. 16, 2021, 1:08 a.m.