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Simulate panel data for child-penalty estimators

Source: R/simulate_data.R
simulate_data.Rd

Generates a panel of individuals over ages with gender, treatment group, and earnings. The data-generating process uses a male baseline earnings profile, female penalty parameters with partial recovery, and AR(1) shocks in logs.

Usage

simulate_data(n_individuals = 10000, seed = 42)

Arguments

n_individuals

Integer. Number of individuals to simulate (default 10000).

seed

Integer. RNG seed.

Value

A data.frame with columns:

  • id (individual id),

  • female (0/1),

  • age (integer),

  • D (treatment age group; renamed from age_d for consistency),

  • Y_inf (counterfactual earnings absent penalties),

  • Y (observed earnings).

Examples

if (FALSE) { # \dontrun{
set.seed(1)
sim <- simulate_data(n_individuals = 2000)
head(sim)
} # }