When filling out the model specifications. Is it possible include multiple explanatory variables and still achieve/get the average treatment effect/the difference in differences. Or does this method only work for single factor models?
Wrong. Please note that coefficients are different (3403 and 3164), and their CI definitely not overlap. Regression adjustment model is convenient when one has more that 2 levels of treatment, and covariates should meet the assumptions for the linear models.
You just saved me from creating a disaster for my final year report..thnk you!
very helpful thank you !!
When filling out the model specifications. Is it possible include multiple explanatory variables and still achieve/get the average treatment effect/the difference in differences. Or does this method only work for single factor models?
If i want to run partial adjustment model, can follow this tutorial?
In the table at 4:09 how can we found the same table but with iid errors ?? (not robust)
So it doesn't matter if there are more smoking mothers than non-smoking ones when we run regression adjustment model, right?
Wrong. Please note that coefficients are different (3403 and 3164), and their CI definitely not overlap. Regression adjustment model is convenient when one has more that 2 levels of treatment, and covariates should meet the assumptions for the linear models.