Extract a Balanced Panel

This function extracts a balanced panel from the data for a specific adoption cohort. It drops units with missing observations at any point within its entire specified window (leads + adoption time, adoption time + lags). Units treated in the same period as the adoption cohort are marked as "treated," and units with their first treatment after the leads time of the specified adoption cohort are marked as "control."

get_balanced_panel(
  data = data,
  adoption_cohort,
  lags,
  leads,
  time_var,
  unit_id_var,
  treated_period_var,
  filter_units = TRUE
)

Arguments

data

The dataset to be used.

adoption_cohort

Numeric, the specific adoption cohort.

lags

Numeric, the number of lags.

leads

Numeric, the number of leads.

time_var

String, the name of the time variable.

unit_id_var

String, the name of the unit ID variable.

treated_period_var

String, the name of the treated period variable.

filter_units

Logical, whether to filter only units with data on all time periods within the specified time window. Defaults to TRUE.

Value

A data frame with the balanced panel.

Examples

if (FALSE) {
get_balanced_panel(data = fixest::base_stagg,
                   adoption_cohort = 5,
                   lags = 2,
                   leads = 3,
                   time_var = "year",
                   unit_id_var = "id",
                   treated_period_var = "year_treated")
}