Probabilities with standard errors
Posted: 10 Feb 2021, 18:16
I am estimating a binary choice model where some variables that affect choice probabilities are continuous. I would like to plot how probabilities change with respect to some of these continuous variables, along with a confidence interval that reflects the parameters' uncertainty.
I know that I would have to construct a dataset with a baseline alternative, and another alternative where all attributes are fixed except for the continuous one I would like to plot. Using apollo_mnl will give me the point estimates but not the standard deviations I'm also looking for. That function could give me a confidence interval if I'm estimating a mixed logit model, but that would be introduced through the random heterogeneity and not through the parameters' standard errors.
Is there any way other than sampling from the betas' asymptotic distribution and running apollo_mnl?
Thanks for your help!
Tomás
I know that I would have to construct a dataset with a baseline alternative, and another alternative where all attributes are fixed except for the continuous one I would like to plot. Using apollo_mnl will give me the point estimates but not the standard deviations I'm also looking for. That function could give me a confidence interval if I'm estimating a mixed logit model, but that would be introduced through the random heterogeneity and not through the parameters' standard errors.
Is there any way other than sampling from the betas' asymptotic distribution and running apollo_mnl?
Thanks for your help!
Tomás