This chapter provides an introduction to choice models based on the principle of direct utility maximization. Models of direct utility are characterized by specifications of the utility function and accompanying budget constraint that allows separation of what is gained (i.e., utility) from that...

This paper establishes conditions for nonparametric identification of dynamic optimization models in which agents make both discrete and continuous choices. We consider identification of both the payoff function and the distribution of unobservables. Models of this kind are prevalent in applied...

We propose a general two-step estimation method for the structural parameters of popular semiparametric Markovian discrete choice models that include a class of Markovian Games and allow for continuous observable state space. The estimation procedure is simple as it directly generalizes the...

We investigate the possibility that a decision-maker prefers to avoid making a decision and instead delegates it to an external device, e.g., a coin flip. In a series of experiments our participants often choose a stochastically dominated lottery between outcomes, contradicting most theories of...