I am trying to estimate a random parameter logit model for a choice experiment. I am running the following-Alalyze/Consumer Research/Choice- running the model with Hierarchical Bayes. In the Bayesian parameter estimates report there are posterior mean, posterior std dev, and subject std dev. I was wondering how to get the std error of the posterior mean and std dev so that we can decide on their significance? Would appreciate any suggestion.
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