In many markets, firms offering low-quality goods are more prominent than firms offering high-quality goods. Then, consumers are perfectly informed about the good of the prominent low-quality firm but incur search costs to bring the high-quality good of a competitor to mind. We analyze under...

We present a geometric approach to the finite Rational Inattention (RI) model, recasting it as a convex optimization problem with reduced dimensionality that is well suited to numerical methods. We provide an algorithm that outperforms existing RI computation techniques in terms of both speed...

In many markets, firms offering low-quality goods are more prominent than firms offering high-quality goods. Then, consumers are perfectly informed about the good of the prominent low-quality firm but incur search costs to bring the high-quality good of a competitor to mind. We analyze under...

We present a geometric approach to the finite Rational Inattention (RI) model, recasting it as a convex optimization problem with reduced dimensionality that is well suited to numerical methods. We provide an algorithm that outperforms existing RI computation techniques in terms of both speed...

Researchers are increasingly able to observe consumers' behavior prior to a purchase, such as their navigation through a store or website and the products they consider. Such pre-purchase (or search) data can be valuable to researchers in a variety of ways: as an additional source of information...

The random utility model (RUM, McFadden and Richter (1990)) has been the standard tool to describe the behavior of a population of decision makers. RUM assumes that decision makers behave as if they maximize a rational preference over a choice set. This assumption may fail when consideration of...