Simulates a dataset for a Difference-in-Differences analysis with various customizable options.
Usage
sim_did(
sample_size,
time_period,
untreated_prop = 0.3,
epsilon_size = 0.001,
cov = "no",
hetero = "all",
second_outcome = FALSE,
second_cov = FALSE,
vary_cov = FALSE,
na = "none",
balanced = TRUE,
seed = NA,
stratify = FALSE,
treatment_assign = "latent",
second_cohort = FALSE,
confound_ratio = 1,
second_het = "all"
)Arguments
- sample_size
The number of units in the dataset.
- time_period
The number of time periods in the dataset.
- untreated_prop
The proportion of untreated units.
- epsilon_size
The standard deviation for the error term in potential outcomes.
- cov
The type of covariate to include ("no", "int", or "cont").
- hetero
The type of heterogeneity in treatment effects ("all" or "dynamic").
- second_outcome
Whether to include a second outcome variable.
- second_cov
Whether to include a second covariate.
- vary_cov
include time-varying covariates
- na
Whether to generate missing data ("none", "y", "x", or "both").
- balanced
Whether to balance the dataset by random sampling.
- seed
Seed for random number generation.
- stratify
Whether to stratify the dataset based on a binary covariate.
- treatment_assign
The method for treatment assignment ("latent" or "uniform").
- second_cohort
include confounding events
- confound_ratio
extent of event confoundedness
- second_het
heterogeneity of the second event