Bookmark and Share

Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: Margins with VCE Jackknife

From   Tammy Leonard <>
To   <>
Subject   st: Margins with VCE Jackknife
Date   Thu, 26 May 2011 16:57:41 -0500


I am trying to estimate marginal effects for an ordered logit regression
where jackknife weights are specified via svyset.  I issue the command:
margins, dydx(*) predict(outcome(1)) vce(unconditional)

And it returns the error message ³vce(jackknife) is not supported².  Is
there a way to obtain marginal effects when the survey design specifies
jackknife weights? (I¹m using HINTS data.)

In a further attempt to obtain marginal effects, this time at the sample
mean (so vce(unconditional) is not necessary) I issue the command:
margins, dydx(*) predict(outcome(1)) atmeans

Which returns the result that the marginal effects are not estimable.
However, using the old mfx command (which defaults to the atmeans
calculation), marginal effects are quickly estimated. What difference in the
two algorithms is causing this discrepancy?  Are the results of mfx valid?

Thanks for any and all help!



*   For searches and help try:

© Copyright 1996–2017 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index