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From |
Sara Borelli <saraborelli77@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: predict after logit |

Date |
Thu, 12 Jul 2012 14:08:10 -0400 |

thank you Tim for the suggestion, I cannot find the margins options...may it be because this is a new feature of STATA ? I am using stata 10 thanks Sara On Wed, Jul 11, 2012 at 5:27 PM, Tim Wade <wadetj@gmail.com> wrote: > apologies, the first segment of code should read: > > sysuse auto.dta > xtile hiprice=price, nq(2) > logistic foreign hiprice mpg > margins, by(hiprice) > > > On Wed, Jul 11, 2012 at 5:26 PM, Tim Wade <wadetj@gmail.com> wrote: >> If I understand what you are asking, I think margins does this: >> >> margins, by(hiprice) >> sysuse auto.dta >> xtile hiprice=price, nq(2) >> logistic foreign hiprice mpg >> margins, by(hiprice) >> >> >> ------------------------------------------------------------------------------ >> | Delta-method >> | Margin Std. Err. z P>|z| [95% Conf. Interval] >> -------------+---------------------------------------------------------------- >> hiprice | >> 1 | .2162162 .0557663 3.88 0.000 .1069163 .3255161 >> 2 | .3783784 .0681487 5.55 0.000 .2448094 .5119474 >> ------------------------------------------------------------------------------ >> >> >> note this margin estimates are the same as the means of phat: >> >> logistic foreign hiprice mpg >> predict phat >> tabulate hiprice, summ(phat) >> >> >> 2 quantiles | Summary of Pr(foreign) >> of price | Mean Std. Dev. Freq. >> ------------+------------------------------------ >> 1 | .21621622 .23645819 37 >> 2 | .37837838 .25520846 37 >> ------------+------------------------------------ >> Total | .2972973 .25759862 74 >> >> Tim >> >> >> On Wed, Jul 11, 2012 at 1:01 PM, Sara Borelli <saraborelli77@gmail.com> wrote: >>> Hi all, >>> I am running a logit model to obtain a predicted probability for each >>> individual (phat_i) using predict, pr command . >>> >>> I have to calculate the average of this prediction within some >>> categories of a variable x: >>> mean_phat_i=mean( phat_i) by(x) >>> and obtain standard errors and confidence interval for this mean. >>> >>> I know I can use adjust for this purpose, but I also need to calculate >>> standard errors/confidence intervals for mean_phat_i >>> >>> Thanks in advance for any insight >>> >>> Sara >>> * >>> * 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/ > * > * 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/ * * 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/

**Follow-Ups**:**Re: st: predict after logit***From:*Tim Wade <wadetj@gmail.com>

**References**:**st: predict after logit***From:*Sara Borelli <saraborelli77@gmail.com>

**Re: st: predict after logit***From:*Tim Wade <wadetj@gmail.com>

**Re: st: predict after logit***From:*Tim Wade <wadetj@gmail.com>

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