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From |
Marco Alfano <m.u.alfano@googlemail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: gllamm convergence problem |

Date |
Sun, 28 Jun 2009 18:58:35 +0100 |

Dear Statalisters, I hope you all are doing well. I am having some problems to get my model to converge. It does converge for some subsamples but generally the models do not converge. I am estimating a covariate measurement error model using gllamm. The measurements of the latent factor are dichotomous variables (so the measurement model is a two parameter item response model). The outcome model is a discrete time duration model, which I am estimating by expanding the data according to the duration variable. I am particularly interested in the factor loading on the latent variable z3. Once the dataset is reshaped and expanded the commands for the estimations look like the following: *************************************************************************** *************************************************************************** ge z_x1 = z3*x1 ge z_x2 = z3*x2 ge z_x3 = z3*x3 ge z_x4 = z3*x4 *** Latent Equation and True Covariate model eq latentfactors: z1 z2 z3 eq truecovariatemodel: x1 x2 x3 x4 x5 *** Outcome model gllamm y z1 z2 z3 z_x1 z_x2 z_x3 z_x4 , /// i(kids_id) eqs(latentfactors) link(logit logit) family(binom binom) /// lv(measuredis) fv(measuredis) geqs(truecovariatemodel) *************************************************************************** *************************************************************************** I would really appreciate some advice or general tips about convergence. Thanks a lot already to everyone and have a good Sunday marco. * * 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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