[Limdep Nlogit List] Latent Class Ordered Probit with Random Parameters?

William Greene wgreene at stern.nyu.edu
Thu Jul 11 00:25:16 AEST 2024


Steve. A latent class random parameters ordered probit model is not
possible in NLOGIT.
Also, the LCRPLogit model is not a binary logit model; it is a variant of
the multinomial
logit model.  LCRPLogit is the only model form in NLOGIT that accommodates
random
parameters with latent classes.  The ordered probit/logit model seems like
the right model
for injury severity.  I'm not sure what else to suggest (or what the
profession would suggest).
I've seen work by Kara Kockelman and by Chandra Bhat, but maybe they're out
of date.
Regards
Bill Greene

On Tue, Jul 9, 2024 at 4:36 PM Steven Lavrenz via Limdep <
limdep at mailman.sydney.edu.au> wrote:

> Is this type of model possible in NLOGIT? I can estimate latent class
> ordered probit, ordered probit with random parameters, and latent class
> logit with random parameters. But I can't seem to get latent class OP with
> random parameters to work.
>
> I have tried adding the 'RPM/fcn' commands, as well as trying the 'rpl'
> command mentioned in the documentation. All that happens is a fixed
> parameter latent class ordered probit model estimates.
>
> If this is not possible, should I consider a LCRPLOGIT model instead,
> versus a fixed parameter LC ordered probit one? The dependent variable in
> question is crash injury severity, and I know the profession has cooled in
> recent years on the use of OP models in this space.
>
> Thanks,
> Steve
>
>
>
>
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-- 
William Greene
Department of Economics
University of South Florida, Tampa
Department of Economics, emeritus
Stern School of Business, New York University
URL: https://url.au.m.mimecastprotect.com/s/yCfwCQnMBZfBxQL5Zfxgynm?domain=people.stern.nyu.edu
Email: wgreene at stern.nyu.edu
Editor in Chief: Foundations and Trends in Econometrics
Associate Editor: Economics Letters


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