Dear All,
I have implemented an RCT with two treatments. However, I am troubled with the analysis part.
Differences in means suggest that I have an positive impacts in my different outcomes. However, I would like to show this by estimating the ITT, in a single OLS regression.
I heard that running one OLS with the two treatments gives unbiased estimates. Moreover, I found that in multiple treatment specifications (Wooldridge, 2007) we could use IV.
Could it be the random assigment an IV?
Another questions is whether the specification of my treatment variables are correct. I am only using the data from the second period (post) and using T1 = 1 if receive treatment 1, then T2 = 1 if receive treatment 2. In the model I am not including the control variable. Is this correct?
the model looks like
Y = T1 + T2 + e
Thank you and looking forward for your advise !
Best
I have implemented an RCT with two treatments. However, I am troubled with the analysis part.
Differences in means suggest that I have an positive impacts in my different outcomes. However, I would like to show this by estimating the ITT, in a single OLS regression.
I heard that running one OLS with the two treatments gives unbiased estimates. Moreover, I found that in multiple treatment specifications (Wooldridge, 2007) we could use IV.
Could it be the random assigment an IV?
Another questions is whether the specification of my treatment variables are correct. I am only using the data from the second period (post) and using T1 = 1 if receive treatment 1, then T2 = 1 if receive treatment 2. In the model I am not including the control variable. Is this correct?
the model looks like
Y = T1 + T2 + e
Thank you and looking forward for your advise !
Best
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