Generate TWFE data
gen_data( g1 = 2000, g2 = 2010, g3 = 0, panel = c(1990, 2020), te1 = 2, te2 = 2, te3 = 2, te_m1 = 0, te_m2 = 0, te_m3 = 0, n = 1500 )
g1
: treatment date for group 1. For no treatment, set g = 0.g2
: treatment date for group 2. For no treatment, set g = 0.g3
: treatment date for group 3. For no treatment, set g = 0.panel
: numeric vector of size 2, start and end years for panelte1
: treatment effect for group 1. Will ignore for that group if g = 0.te2
: treatment effect for group 1. Will ignore for that group if g = 0.te3
: treatment effect for group 1. Will ignore for that group if g = 0.te_m1
: treatment effect slope per yearte_m2
: treatment effect slope per yearte_m3
: treatment effect slope per yearn
: number of individuals in sampleDataframe of generated data
# Homogeneous treatment effect df_hom <- gen_data(panel = c(1990, 2020), g1 = 2000, g2 = 2010, g3 = 0, te1 = 2, te2 = 2, te3 = 0, te_m1 = 0, te_m2 = 0, te_m3 = 0) # Heterogeneous treatment effect df_het <- gen_data(panel = c(1990, 2020), g1 = 2000, g2 = 2010, g3 = 0, te1 = 2, te2 = 1, te3 = 0, te_m1 = 0.05, te_m2 = 0.15, te_m3 = 0)