regression - How to estimate probit model with fixed effects -


i have estimated following model panel data (data 2 periods following same individuals) using plm package:

base_panel <- plm.data(dataset, index = c('individual', 'time.dummy')) panel_y1_model <- plm(y ~ time.dummy + dummy.treat +                            time.dummy*dummy.treat, data = base_panel, model = 'fd')

in model, y continuous variable. want estimate same model using y.dummy dependent variable. y.dummy binary variable. know pglm package can job me, according have read on documentation, can chose between random, within, pooling or between models.

is possible use fd models, have done before? consistent models. code should run?


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