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I used the following code to calculate the ATE for my panel data (around ~$18). dml = DynamicDML(model_y=outcome_model,
model_t=treatment_model,
cv=2, discrete_treatment=True)
dml.fit(Y=Y, T=T, X=None, W=X, groups=groups)
Is it possible to get individual treatment effects too? Ie how much causal impact the treatment would gave in the outcome variable for each row of my data?
The text was updated successfully, but these errors were encountered:
Hi @kbattocchi ,
I used the following code to calculate the ATE for my panel data (around ~$18). dml = DynamicDML(model_y=outcome_model,
model_t=treatment_model,
cv=2, discrete_treatment=True)
dml.fit(Y=Y, T=T, X=None, W=X, groups=groups)
Is it possible to get individual treatment effects too? Ie how much causal impact the treatment would gave in the outcome variable for each row of my data?
The text was updated successfully, but these errors were encountered: