This paper investigates identification and estimation of a class of nonlinear panel data, single-index models. The model allows for unknown time-specific link functions, and semiparametric specification of the individual-specific effects. We develop an estimator for the parameters of interest,...

This paper investigates identification and root-n-consistent estimation of a class of single-index panel data models in which the link function is unknown, the unobserved individual effects may be correlated with all the explanatory variables, and all the explanatory variables may be...

The first chapter of my thesis develops and estimates a dynamic structural partial equilibrium model of schooling and work decisions.  The estimated model explicitly accounts for the simultaneous choice of enrolling in school and working.  It also allows for endogenous leisure choices,...

The first chapter of my thesis develops and estimates a dynamic structural partial equilibrium model of schooling and work decisions.  The estimated model explicitly accounts for the simultaneous choice of enrolling in school and working.  It also allows for endogenous leisure choices,...

An increasing number of longitudinal data sets collect expectations information regarding a variety of future individual level events and decisions, providing researchers with the opportunity to explore expectations over micro variables in detail. We provide a theoretical framework and an...

An increasing number of longitudinal data sets collect expectations information regarding a variety of future individual level events and decisions, providing researchers with the opportunity to explore expectations over micro variables in detail. We present a theoretical framework and an...