Two Period Two Group Repeated Cross Sections Subset — two_by_two_rcs

A function for computing a 2x2 subset for repeated cross sections data. This is analogous to two_by_two_subset, but indexes observations by rows rather than by panel ids.

Usage

two_by_two_rcs_subset(
  data,
  g,
  tp,
  control_group = "notyettreated",
  anticipation = 0,
  base_period = "varying",
  ...
)

Arguments

data: the full dataset
g: the current group
tp: the current time period
control_group: whether to use "notyettreated" (default) or "nevertreated"
anticipation: the number of periods of anticipation (i.e., number of periods before the treatment happens where the treatment can "already" affect the outcome)
base_period: The type of base period to use. This only affects the numeric value of results in pre-treatment periods. Results in post-treatment periods are not affected by this choice. The default is "varying", where the base period will "back up" to the immediately preceding period in pre-treatment periods. The other option is "universal" where the base period is fixed in pre-treatment periods to be the period right before the treatment starts. "Universal" is commonly used in difference-in-differences applications, but can be unnatural for other identification strategies.
...: extra arguments to get the subset correct

Value

list that contains the following elements:

gt_data: a gt_data_frame object that contains the correct subset of data
n1: the number of observations in this subset
disidx: a vector of the correct rows for this subset