Hi all,
I am trying to apply the fuzzy regression discontinuity framework to a dataset reporting electoral results at the candidate level for municipal elections.
Outcome variable = improvement in the candidate rank (on the basis of votes obtained) after election with respect to the rank assigned to him/her before elections.
The score and the treatment are shared by all candidates in a given municipality, thus I have many mass points. I have around 300 municipalities and 2 years of observations.
I try to apply a fuzzy regression discontinuity design because I have non-compliance on both sides.
This is the rdplot displaying the discontinuity at the cutoff, of around 1.5.

Then, if I run the sharp rdrobust (to check for the ITT), I get a plausible magnitude of the coefficient, with correct sign and strong significance:

However, If I add the fuzzy component, I get an implausible coefficient.

Do you have an idea of the reason behind this inconsistency?
Thanks a lot in advance!
I am trying to apply the fuzzy regression discontinuity framework to a dataset reporting electoral results at the candidate level for municipal elections.
Outcome variable = improvement in the candidate rank (on the basis of votes obtained) after election with respect to the rank assigned to him/her before elections.
The score and the treatment are shared by all candidates in a given municipality, thus I have many mass points. I have around 300 municipalities and 2 years of observations.
I try to apply a fuzzy regression discontinuity design because I have non-compliance on both sides.
This is the rdplot displaying the discontinuity at the cutoff, of around 1.5.
Then, if I run the sharp rdrobust (to check for the ITT), I get a plausible magnitude of the coefficient, with correct sign and strong significance:
However, If I add the fuzzy component, I get an implausible coefficient.
Do you have an idea of the reason behind this inconsistency?
Thanks a lot in advance!
Comment