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I think I found a solution. I read two book chapters about multilevel event history models (Courgeau, 2007; Goldstein, 2011), which discuss similar cases and suggest using a three-level structure such as time (level-1) nested within households (level-2), which are in turn nested within ...

Hi George,
thanks so much for the great advice!

Best,
Raphael

The case:
I am trying to estimate event history models (also known as survival models) with time-varying predictors at two different levels of (geographical) aggregation. More precisely, I am using a discrete time event history model (logit model on stacked data) to predict the odds of outmigration ...

Hi George,
thanks a lot for the helpful information!
Have a good night!

Best,
Raphael

Hi George and other runmlwin users,

I am currently in the planning stage for a research project for which I would like to use spatial multilevel models.

The project: In this project I am planning to run discrete event history models (logistic regression with stacked data) in a multilevel ...

Wow, I never thought about the possibility of obtaining predictions in this nifty way! Thanks so much for sharing these insights! Have a great day!

Best,
Raphael

Hi George,
Thank you so much for this helpful comment! I learned a lot!
Have a nice day!

Best,
Raphael

Hi everyone,
I am currently working on a research project for which I am running 3-level logit models (households are nested within municipality which are nested within states) to predict out-migration in relation to a environmental variable (measured at the state-level). I found a pretty ...

Hi George,
Thanks so much for this helpful explanation! I have spent some hours and did a thorough literature research on the issue of overdispersed multilevel models. I found a few articles that use random effects to account for overdispersion (e.g., Link and Sauer 2002, Liu and Dey 2006, Huang and ...

Hi George,

As always, thanks so much for the comprehensive response to my question! It is truly amazing how much you know about the statistical mechanics behind the commands!
I was able to locate the runmlwin.ado file and based on Chris’ suggestions I changed the code and the negative binomial ...