Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Arne Risa Hole <[email protected]> |

To |
statalist <[email protected]> |

Subject |
st: Fwd: Flexible models for dce |

Date |
Mon, 27 Jan 2014 09:38:09 +0000 |

Carla, Your -mixlogit- (SJ/SSC) specification is correct if you want the mean *and* SD of the coefficient for risk reduction vary with the age group. If instead you wanted just the mean to vary, and the SD to be the same for each age group you could specify: mixlogit d p age2r age3r age4r, group(id) rand(r) nrep(500) I would not use the -iter()- option here. If the algorithm doesn't converge it is likely to indicate a problem with your model specification - in that case the best advice is to simplify the model. Note that if the respondents in your experiment make more than one choice you should specify the -id()- option. See http://www.stata-journal.com/article.html?article=st0133 for details. I don't understand your second question but, yes, if you are interested in estimating a latent-class conditional logit model then -lclogit- is an appropriate command to use. Arne On 25 January 2014 11:49, Carla Guerriero <[email protected]> wrote: > Dear Arne and Stata users, > My experiment present three unlabelled alternatives to test individual > willingness to pay for health risk reduction. > I started with the classic conditional logit but I want to implement more > flexible model.. > I fund that age is a significant predictor for risk reduction marginal > utility .. my quesiotn is can I use the mixed logit command to estimate > random parameter coefficient of interaction variable (risksize * agegroup) ? > es. > gen age1r = age1*r > gen age2r =age2 *r > gen age3r = age3*r > mixlogit d p , group(id) rand(age1r age2r age3r age4r) iter(15) nrep(500) > I used the iter(15) because it takes very long to estimate each iteration > but I am not sure this is correct .. > > My second question is more complex I have collected in questionnaire so > latent variables (binary measure of risk aversion) How can I include them in > the latent class model ? > should I use the lclogit command ? > Thank you very very much > Kind Regards > Carla > > > Carla Guerriero > > Research Fellow in Health Economics > Health Policy Unit > London School of Hygiene and Tropical Medicine > > Tel:(+44)02079588282 > Skype contact: carla.guerriero * * 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/

- Prev by Date:
**st: Random draw from log normal distribution with known mean and sd** - Next by Date:
**Aw: Re: st: sum over variables for determinate observations** - Previous by thread:
**st: Random draw from log normal distribution with known mean and sd** - Next by thread:
**st: D-K FE model and time invariant variable** - Index(es):