a function to create a "reasonable" set of parameters to create simulated panel data that obeys a parallel trends assumption. In particular, it provides parameters where the the effect of participating in the treatment is equal to one in all post-treatment time periods.
After calling this function, the user can change particular values of the parameters in order to generate dynamics, heterogeneous effects across groups, etc.
reset.sim(time.periods = 4, n = 5000, ipw = TRUE, reg = TRUE)The number of time periods to include
The total number of observations
If TRUE, sets parameters so that DGP is compatible with recovering ATT(g,t)'s using IPW (i.e., where logit that just includes a linear term in X works). If FALSE, sets parameters that will be incompatible with IPW. Either way, these parameters can be specified by the user if so desired.
If TRUE, sets parameters so that DGP is compatible with recovering ATT(g,t)'s using regressions on untreated untreated potential outcomes. If FALSE, sets parameters that will be incompatible with using regressions (i.e., regressions that include only linear term in X). Either way, these parameters can be specified by the user if so desired.
list of simulation parameters