Generate artificial balanced panel data by simulation

The `datageneration()` function generates artificial balanced panel data from the data generating process considered in the Monte Carlo experiment in Yanagi (2023).

Usage

datageneration(N, S)

Arguments

N: The number of cross-sectional units
S: The length of time series

Value

A data.frame that contains the following elements.

id: The unit index
period: The time period index
Y: The outcome
D: The treatment
X: The unit-specific covariate
once: Whether some treatment realization has been received at least once so far
event: The earliest time period of receiving some treatment realization so far (the event date)
number: The number of treatment adoptions so far

References

Yanagi, T., 2023. An effective treatment approach to difference-in-differences with general treatment patterns. arXiv:2212.13226.

Examples

set.seed(1)
data <- datageneration(N = 1000, S = 4)