Hi,
I'm trying to apply an RDD design (I'm new to it) where Y is the outcome variable of interest, X is the running variable and the cutoff according to which a firm either receives the treatment or not is 0. Suppose that Treat is a dummy that equals 1 if the firm receives the treatment, and 0 otherwise. Now, I have a panel dataset along 2010-2022 of globally spread firms that operate in multiple industries. I went through the rdrobust package and the command I should run to implement the RDD is the following:
Or, in the case of covariates, it should be the following:
The first question I have is the following: should I use rdrobust or I should implement an OLS regression within the optimal bandwidth h selected with rdbwselect? That is, the following command:
Using the second option should also allow me to include year, industry and country dummies:
which I cannot do with rdrobust.
What is the correct way of implementing an RDD? Also, is it a problem if I do not find significance when I use rdrobust (without accounting for time, industry, country effect), but I find significance when I regress (including all the dummies) within the optimal bandwidth?
Thank you so much for your help,
Martina
I'm trying to apply an RDD design (I'm new to it) where Y is the outcome variable of interest, X is the running variable and the cutoff according to which a firm either receives the treatment or not is 0. Suppose that Treat is a dummy that equals 1 if the firm receives the treatment, and 0 otherwise. Now, I have a panel dataset along 2010-2022 of globally spread firms that operate in multiple industries. I went through the rdrobust package and the command I should run to implement the RDD is the following:
Code:
rdrobust Y X, p(1) kernel(triangular) bwselect(mserd)
Code:
rdrobust Y X, p(1) c(0) kernel(triangular) bwselect(mserd) covs($covariates)
Code:
reg Y X Treat X*Treat $covariates if X<h & X>h, robust
Code:
reg Y X Treat X*Treat $covariates i.year i.industry i.country if X<h & X>h, robust
What is the correct way of implementing an RDD? Also, is it a problem if I do not find significance when I use rdrobust (without accounting for time, industry, country effect), but I find significance when I regress (including all the dummies) within the optimal bandwidth?
Thank you so much for your help,
Martina
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