Dear stata users
I am stuck with a problem that might be relatively simple for some of you, but is causing me some troubles
I am doing a regression with multiple independent dummy variables
The data is coming from 3 different districts, and I have 2 main dummy variables
making the matrix look like this
When i'm doing my regression im interested in:.
- the effect on dummy1, when district changes from 1 to 2 and 3 combined.
i use a command like this:
reg yvar dummy1 dummy2
but my regression coefficient for dummy1 reflects the difference between district 1 and district 3. And what im interested in is seeing the difference between district 1 and district 2 & 3 combined.
though, dummy2 is not held constant?
So the question is how can i decide what level the others variables is held constant in, while interpretating my primary variable?
It is relevant for control-variables as well, that I want to hold constant at a certain level. is that possible?
hope i've made myself clear. otherwise I will gladly elaborate
I am stuck with a problem that might be relatively simple for some of you, but is causing me some troubles
I am doing a regression with multiple independent dummy variables
The data is coming from 3 different districts, and I have 2 main dummy variables
making the matrix look like this
district 1 | district 2 | district 3 | |
dummy 1 | 0 | 1 | 1 |
dummy 2 | 0 | 0 | 1 |
- the effect on dummy1, when district changes from 1 to 2 and 3 combined.
i use a command like this:
reg yvar dummy1 dummy2
but my regression coefficient for dummy1 reflects the difference between district 1 and district 3. And what im interested in is seeing the difference between district 1 and district 2 & 3 combined.
though, dummy2 is not held constant?
So the question is how can i decide what level the others variables is held constant in, while interpretating my primary variable?
It is relevant for control-variables as well, that I want to hold constant at a certain level. is that possible?
hope i've made myself clear. otherwise I will gladly elaborate
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