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Re: st: too large standard errors of marginal effects after multinomial logit model
At 03:23 PM 5/30/2006, email@example.com wrote:
When I calculate the marginal effects after multinomial logit model using the
You might try getting the -margeff- command from SSC and see if it
fares any better. If nothing else, it is faster. Include the
-at(mean)- option to make it comparable to mfx.
command "mfx compute, predict (outcome(1))", Stata gives me very
errors and all p values are equal to 1. Dose anyone know the reason of this
problem and how to solve it? Many thanks.
You might also try something like
bysort y: sum x1 x2 x3 x4
This will show you if, say, one or more of the xs has little or no
variability within a category of y. That can sometimes cause
problems. With multiple-outcome models like mlogit or gologit2,
spreading the data too thin can create complications.
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
WWW (personal): http://www.nd.edu/~rwilliam
WWW (department): http://www.nd.edu/~soc
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