Models of consumer learning and inventory behavior have both proven to be valuable for explaining consumer choice dynamics. In their pure form these models assume consumers solve complex dynamic programming (DP) problems to determine optimal choices. For this reason, these models are best viewed...

We propose and test a choice model based on the notion that the category an alternative is perceived to fall into determines the attribute importance weights used to evaluate that alternative. For example, space is more important than fuel economy for an SUV, but the opposite is true for a...