Datasets and Simulation

ModernDiD includes built-in datasets for examples and benchmarking, as well as data generation functions for simulation studies and scalability testing.

Built-in Datasets

load_mpdta	Load the County Teen Employment dataset for multiple time period DiD analysis.
load_nsw	Load the NSW (National Supported Work) demonstration dataset.
load_ehec	Load the EHEC dataset for Medicaid expansion analysis.
load_engel	Load the Engel household expenditure dataset.
load_favara_imbs	Load the Favara and Imbs banking deregulation dataset.
load_cai2016	Load the Cai (2016) agricultural insurance dataset.

Simulation Functions

Functions for generating synthetic DiD and DDD panel data with known treatment effects, useful for Monte Carlo experiments and testing.

gen_cont_did_data	Simulate panel data for difference-in-differences with continuous treatment.
gen_did_scalable	Generate configurable staggered DiD data for stress-testing.
gen_ddd_2periods	Generate synthetic data for 2-period DDD estimation.
gen_ddd_mult_periods	Generate data with staggered treatment adoption for multi-period DDD.
gen_ddd_scalable	Generate configurable staggered DDD data for stress-testing.
gen_simple_ddd_data	Generate simple DDD panel data with a known treatment effect.