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

Re: st: ZOIB procedure

 From Prerna S To statalist@hsphsun2.harvard.edu Subject Re: st: ZOIB procedure Date Tue, 20 Sep 2011 06:02:38 -0400

>
> I can think of two reasons why the statistical significance differs,
> and they are all a variation on the point that they represent
> different null-hypotheses: 1) The parameters represent relative
> effects (ratios), while marginal effects represent absolute effects
> (differences). 2) The marginal effects combine the effects on all two
> or three equations of the model.
>

Maarten,  here is what I understand of the marginal effects. One can estimate

a) mfx, predict (pr) - this is the marginal effects of the proportion
b) mfx, predict (pr0) - marginal effects of the dependent variable = 0
c) mfx, predict (pr1) - marginal effects of the dependent variable = 1
d) mfx, predict (prcond) - marginal effects of the dependent variable = (0,1)

I am  interested in b) and d) so I want to be clear on whether I have
this right. So are you suggesting that of these 4 options a) is the
best route to take whereas the remaining 3 are difficult to explain?

Thanks.
Prerna
*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/