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A Bayesian Mixed Logit Probit Model for Multinomial Choice Apps Olin Wustl Form

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hi everyone welcome to an intuitive introduction to multinomial models in today's lecture we're going to talk about five specific things first I'm going to talk about when we should use multinomial models just like I do with before introducing any method that I like to teach we'll talk about why you can't just use a linear regression or why you could or couldn't in this case I'll talk about what a multinomial logit model is it's going to turn out to be a straightforward extension of the binary logit model which we covered in the fall I'll go over the intuition of the model as well as giving you the mathematical foundations of the model then we'll talk about how to estimate a multinomial model in particular using Stata what testing involves and what kinds of things you might want to test in context of a multinomial model and how you might do that in Stata and I'll talk about how to predict how to use

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A Bayesian Mixed Logit Probit Model for Multinomial Choice Apps Olin Wustl Form

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