This chapter is concerned with a particular formalization that has proved useful in empirical work, hence the juxtaposition of causality and inference. It also bears close relation to notions of strictly exogenous and predetermined variables, which have considerable operational significance in...

This paper demonstrates a method for estimating logit choice models for small sample data, including single individuals, that is computationally simpler and relies on weaker prior distributional assumptions compared to hierarchical Bayes estimation. Using Monte Carlo simulations and online...