Hi All,
I have a proportion DV. I can't use the
command because of my unit of analysis, so my regression is as follows:
I have a variable that I'm in interested in analyzing, x1, which is a binary variable coded as 0/1.
I found the link on fractional models (https://www.stata.com/stata14/fracti...utcome-models/) and dyex is used for margins. I tried to use dyex, but I couldn't, because it says factor variables not allowed with dyex. So, I decided to use
I received the below results:
I had asked this question before, but now I'm wondering how to interpret the margin results above after finding this post (granted it's for a continuous variable)-- (https://www.statalist.org/forums/for...uous-variables).
Does this read that when x goes from 0 to 1 the proportion (y) increases by 11.3%? I found Richard Williams's Slides https://www3.nd.edu/~rwilliam/stats/Margins01.pdf. Are average marginal effects the same thing as average partial effects?
Lastly, I'm obviously not well-versed in econometrics, but is there another way to interpret the results of x1? With the margin command (EDIT: Or is it because of the regression?), if I interpreted correctly, it reads from 0 to 1 (for lack of better words). Is there a way to read the results as when x=1 (yes) or when x=0 (no) not as "when no goes to yes." (Again, sorry for the layman's terms. I gladly welcome better terminology).
Thank you.
I have a proportion DV. I can't use the
Code:
fracreg
Code:
xtgee y i.x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12, family(binomial 1) link(probit) corr(exchangeable) vce(robust)
I found the link on fractional models (https://www.stata.com/stata14/fracti...utcome-models/) and dyex is used for margins. I tried to use dyex, but I couldn't, because it says factor variables not allowed with dyex. So, I decided to use
Code:
margins, dydx(*) margins x1
Code:
margins x1
Predictive margins Number of obs = 13,405
Model VCE : Semirobust
Expression : Pr(y != 0), predict()
------------------------------------------------------------------------------
| Delta-method
| Margin Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
x1 |
0 | .2681136 .0049269 54.42 0.000 .2584571 .2777702
1 | .3810374 .0503208 7.57 0.000 .2824105 .4796644
------------------------------------------------------------------------------
Does this read that when x goes from 0 to 1 the proportion (y) increases by 11.3%? I found Richard Williams's Slides https://www3.nd.edu/~rwilliam/stats/Margins01.pdf. Are average marginal effects the same thing as average partial effects?
Lastly, I'm obviously not well-versed in econometrics, but is there another way to interpret the results of x1? With the margin command (EDIT: Or is it because of the regression?), if I interpreted correctly, it reads from 0 to 1 (for lack of better words). Is there a way to read the results as when x=1 (yes) or when x=0 (no) not as "when no goes to yes." (Again, sorry for the layman's terms. I gladly welcome better terminology).
Thank you.
