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From |
Tiainen Ossi <ossi.tiainen@aalto.fi> |

To |
"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |

Subject |
st: Obtaining predictions with margeff & gologit2 |

Date |
Fri, 19 Apr 2013 18:20:06 +0000 |

Hello, I'm using the gologit2 generalized logistic regression/ partial proportional odds model for ordinal dependent variables. The dependent variable describes firm size and is a categorical variable with three groups, small, medium and large. Independent variables are three dummies that describe categorical firm types + some control variables. I used margeff to get the average marginal effect coefficients (see output below), but i'm having difficulties in understanding how I could get the predicted probabilities for the three dummies in a convenient way. For mlogit the 'margins' command gives the probabilities directly, so is there some way to obtain them with gologit2 or must I use the predict command and calculate the probabilities by hand for each dummy? If I use predict, how can I get the base probability level that the three coefficients below are compared to? What about if I use marginal effects at mean instead of average marginal effects? Thank you for your assistance in advance! Best regards, Ossi Tiainen . margeff, dummies(Iprsv* \ Ipscl* \ Icountry* \ Inace*) Average partial effects after gologit2 y =3D Pr(size04) -------------------------------------------------------------------------------- variable | Coef. Std. Err. z P>|z| [95% Conf. Interval=] ---------------+-----------------------------------------------------------------------+---=----- Small | Iprsvinn_1 | -.1368403 .0136474 -10.03 0.000 -.1635887 -.1100918 Iprsvinn_2 | -.0130166 .0185622 -0.70 0.483 -.0493979 .0233646 Iprsvinn_3 | -.0665578 .0193864 -3.43 0.001 -.1045544 -.0285611 * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

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