Utility Maximization and Intertemporal Choice.

I provide new results for the study of repeated choice behavior over a finite set of discrete alternatives using a probabilistic theory which is consistent with random utility maximization. In the main theorem, transition probabilities between choices are derived without imposing restrictions on how the systematic component of utilities may change over time. I show how existing methods of estimating transition probabilities relate to these new results. [ABSTRACT FROM AUTHOR]