A common problem in estimation of discrete choice models is that the complete choice set is very large. A good example is supermarket consumer goods, like breakfast cereal, where there are often a hundred or more varieties (SKUs or UPCs) to choose from. In that case, estimation of complex...

The mixed or heterogeneous multinomial logit (MIXL) model has become popular in a number of fields, especially marketing, health economics, and industrial organization. In most applications of the model, the vector of consumer utility weights on product attributes is assumed to have a...

The size of adverse selection and moral hazard eects in health insurance markets has important policy implications. For example, if adverse selection eects are small while moral hazard eects are large, conventional remedies for ineciencies created by adverse selection (e.g., mandatory insurance...

I examine the effect of labor income taxation in life-cycle models where work experience builds human capital. In this case, the wage no longer equals the opportunity cost of time – which is, instead, the wage plus returns to work experience. This has a number of interesting consequences....

Learning models extend the traditional discrete choice framework by postulating that consumers have incomplete information about product attributes, and that they learn about these attributes over time. In this survey we describe the literature on learning models that has developed over the past...

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...

The size of adverse selection and moral hazard eects in health insurance markets has important policy implications. For example, if adverse selection eects are small while moral hazard eects are large, conventional remedies for ineciencies created by adverse selection (e.g., mandatory insurance...

Besley, Hall and Preston (JPubEc, 1999) investigate how waiting for medical treatment in public hospitals influences the decision to buy private health insurance, which covers faster private treatment. They find sizable positive impacts which have subsequently been influential on waiting lists...

The allocation of children’s time among different activities may be important for their cognitive and non-cognitive development. In our work we exploit time use diaries from the Longitudinal Study of Australian Children to study the effect of time allocation across a wide range of alternative...