A semiparametric fixed effects model is introduced to describe the nonlinear trending phenomenon in panel data analysis and it allows for the cross-sectional dependence in both the regressors and the residuals. A semiparametric profile likelihood approach based on the first-stage local linear...

This paper is concerned with developing a nonparametric time-varying coefficient model with fixed effects to characterize nonstationarity and trending phenomenon in nonlinear panel data analysis. We develop two methods to estimate the trend function and the coefficient function without taking...

In this paper, we study semiparametric estimation for a single-index panel data model where the nonlinear link function varies among the individuals. We propose using the so-called refined minimum average variance estimation based on a local linear smoothing method to estimate both the...

We study criminality in a dynamic context by introducing social capital into the economic theory of crime. Social capital measures the extent to which an individual is bonded to legitimate society. According to the social control perspective. bonds to society strengthen as the individual ages,...

This paper presents a dynamic model of criminal choice in which an offender's probability of arrest depends on his level of criminal activity as well as the actions of the criminal justice system. In addition, current choices affect future outcomes through a stock accumulation process. We...