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

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in this video I will talk about the multinomial probit and logit models the conditional logit model and the mixed logit model as an overview i will first go over the multinomial outcome dependent variable how this variable is defined when we have multiple choices then I will talk about the wide and long forms of datasets that we can have then I will talk about the independent variables and how they can be either alternative in variant or alternative variant then I will talk about the multinomial logit model how its defined the coefficients marginal effects and iia and the multinomial probit model then I will talk about the conditional logic model including the coefficients and marginal effects and I will conclude with the mixed logit model at this point if you're not familiar with the binary probit and logit model which means the dependent variable is a 0 1 variable perhaps you might want to watch first those videos on my website and then come back at and continue with this lecture ok