ApolloChoiceModelling forum

Hi

the simple logic to follow is that only differences in utility matter. So in each class, you need to make sure that your model is idenitifed, so e.g. fixing one level for categorical variables and one ASC. In the class allocation models, the characteristics are shared across classes, so there ...

Hi - you can use apollo_deltaMethod for that, just write down the expression for the difference in the alphas

Peter

how many draws are you using? And what were the runtimes like for simpler specifications of the model, e.g. just latent class? That would tell us whether there are some issues specific to your implementation, as your model per se is not beyond models we have successfully run on standard ...

Hi

yes, this clarifies things, though adding an LV does not necessarily solve endogeneity issues of course

Stephane

I would potentially interact it with the thresholds in your ordered model for car use

regarding the joint model, what is shared between the models?

Hi

I would not analyse the distribution of the conditional means alone, as that ignores the uncertainty around them. You should look at the full distribution, which you can get from the sample level results (apollo_unconditionals).

But high heterogeneity can of course make sense anyway

Stephane

Matthias

would people without a car still have non-zero use frequency though? If not, then you wouldn't use the choice 2 at all. If yes, then you could use different thresholds for such people. I wouldn't directly include car ownership in the utiity

Stephane

Hi

this was a bug that happens when your IDs are not numeric. It will be fixed in the new version, but in the meantime, if you use numeric IDs, it will work

Stephane

can you share the data and code with me to investigate?

well, are your weights different across observations for the same person?