Child penalty analysis over multiple treatment groups

Usage

multiple_treatment_group_analysis(
  data,
  treatment_groups,
  periods_post,
  periods_pre = 4,
  max_age = 999,
  min_age = 0,
  pre = 1,
  Y_name = "Y",
  age_name = "age",
  D_name = "D",
  id_name = "id",
  female_name = "female",
  verbose = T
)

Arguments

data: A data.frame or data.table with the needed columns. Names can be mapped via Y_name, age_name, D_name, id_name, female_name.
treatment_groups: Integer vector of treatment groups (e.g., 24:34).
periods_post: Integer H >= 0. Post-treatment horizons; evaluates event times e = 0, 1, ..., H with target age a = d + e and control dp = a + 1.
periods_pre: Integer K >= 0 (default 4). Number of pre-treatment horizons. Evaluates e = -K, ..., -pre with a = d + e. For each pre period, tests the same control offsets used post, i.e., dp = d + 1, 2, ..., H + 1. Set NULL to skip pre-trends.
max_age: Integer (default 999). Upper bound; cells with dp > max_age are skipped.
min_age: Integer (default 0). Lower bound; cells with a < min_age are skipped.
pre: Integer (default 1). Pre-treatment anchor used in APO (uses d - pre).
Y_name, age_name, D_name, id_name, female_name: Column name mappings passed to prep_data_table().
verbose: Logical (default TRUE). Print progress messages.

Value

A data.frame stacking results from single_treatment_group_analysis().