They’re only a little bit in Stan, but I thought there might be some interest here in a new collection of posts explaining logit models of discrete choice.
A simple choice model (what’s identifiable, what’s not?):
Putting it all together:
There’s a bunch to come in the coming days/months, but thought these would be more useful in the wild than on my laptop. In rough order I’m doing:
- Aggregate logit (using linear regression or multinomial likelihood conditional logit)
- Dealing with endogenous price-setting (using IVs or structural price-setting models)
- Random coefficients logit (choice level). There’s a post there showing how to do this but a new one is coming.
- Ranked choice RE logit.
- Aggregate random coefficients logit (have two posts on this but I’ve changed my approach)
- Policy simulations and welfare analysis. A new product, a price change, a merger.
If there are other things you want in a chapter about discrete choice, please let me know!