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From |
Olivia Bacha <oliviabacha@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Marginal Effects for Binary Response Models with Nonlinear Regressors |

Date |
Sun, 13 Jun 2010 10:50:57 -0300 |

Dear Marteen, Thanks for your help. Olivia 2010/5/30 Maarten buis <maartenbuis@yahoo.co.uk>: > --- On Sun, 30/5/10, Olivia Bacha wrote: >> Consider the following model 'logit y x(i)/sum_x(i)', where >> variable x(i) is expenditure for individual i, then sum_x(i) >> sum up total expenditures for all individuals, it is a ratio. >> As stata uses delta method, mfx command will give me x(i)/ >> sum_x(i) + delta , not x(i)+delta/[sum_x(i)+delta]. It is a >> sort of same problem we face to calculate marginal effects >> by including interactions in logit model. > > I am not sure whether the this is the same problem, if you added the > proportion, then that means that you think that the proportion is the > unit of interest, in which case I see no problem. However, if you > disagree you can always compute the derivative by -nlcom- and let > -nlcom- take care of the standard errors. > > Hope this helps, > Maarten > > -------------------------- > Maarten L. Buis > Institut fuer Soziologie > Universitaet Tuebingen > Wilhelmstrasse 36 > 72074 Tuebingen > Germany > > http://www.maartenbuis.nl > -------------------------- > > > > > * > * 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/

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