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From |
Richard Williams <richardwilliams.ndu@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: oglm and heterogeneous choice models |

Date |
Mon, 24 Oct 2011 18:19:43 -0500 |

At 01:12 PM 10/24/2011, Rourke O'Brien wrote:

I have a follow up question on heterogeneous choice models. I am interested in testing which variables significantly predict residual variance. I've tried many configurations of the "sw, pe(.05): oglm y x1 x2 x3 x4, eq2(x1 x2 x3 x4) flip" but have not been able to achieve convergence. Yet, when I use the gologit2 command and the autofit option, the model runs smoothly and I am told which covariates do not meet criteria for parallel line assumptions. I can then run the model using gologit2 and specify which predictors meet the parallel line assumptions and which do not. Is this an appropriate strategy? I am ultimately interested in testing for an interaction in a logistic model.

------------------------------------------- Richard Williams, Notre Dame Dept of Sociology OFFICE: (574)631-6668, (574)631-6463 HOME: (574)289-5227 EMAIL: Richard.A.Williams.5@ND.Edu WWW: http://www.nd.edu/~rwilliam * * 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: oglm and heterogeneous choice models***From:*"Rourke O'Brien" <rourke.obrien@gmail.com>

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