Aggregates (g,t)-Specific Results — pte

This is a slight edit of the aggte function from the did package. Currently, it only provides aggregations for "overall" treatment effects and event studies. It also will provide the weights directly which is currently used for constructing aggregations based on distributions. The other difference is that, pte_aggte provides inference results where the only randomness is coming from the outcomes (not from the group assignment nor from the covariates).

Usage

pte_aggte(
  attgt,
  type = "overall",
  balance_e = NULL,
  min_e = -Inf,
  max_e = Inf,
  ...
)

Arguments

attgt: A group_time_att object to be aggregated
type: The type of aggregation to be done. Default is "overall".
balance_e: Drops groups that do not have at least balance_e periods of post-treatment data. This keeps the composition of groups constant across different event times in an event study. Default is NULL, in which case this is ignored.
min_e: The minimum event time computed in the event study results. This is useful when there are a huge number of pre-treatment periods.
max_e: The maximum event time computed in the event study results. This is useful when there are a huge number of post-treatment periods.
...: extra arguments

Value

an aggte_obj