This paper discusses how specification of probabilistic models for multistate duration data generated by individual choices should be justified on a priori theoretical grounds. Preferences are assumed represented by random utilities, where utilities are viewed as random also to the agent...

In this paper we discuss a general framework for analyzing labor supply behavior in the presence of complicated budget- and quantity constraints of which some are unobserved. The individual’s labor supply decision is viewed as a choice from a set of discrete alternatives (jobs). These jobs are...

This paper proposes a particular axiomatic approach to motivate the choice of functional forms and distribution of unobservables in continuous time models for discrete panel data analysis. We discuss in particular applications with data on transitions between employment and unemployment. This...

This paper analyzes the properties of a particular sectoral labor supply model developed and estimated in Dagsvik and Strøm (2006). In this model, agents have preferences over sectors and latent job attributes. Moreover, the model allows for a representation of the individual choice sets of...

Recently Dagsvik and Karlström (2005) have demonstrated how one can compute Compensating Variation and Compensated Choice Probabilities by means of analytic formulas in the context of discrete choice models. In this paper we offer a new and simplified derivation of the Compensated probabilities...

This paper discusses aspects of a framework for modeling labor supply where the notion of job choice is fundamental. In this framework, workers are assumed to have preferences over latent job opportunities belonging to worker-specific choice sets from which they choose their preferred job. The...