This paper shows that the structural breaks are an important characteristic of the monthly labor force participation rate (LFPR) series of Australia, Canada and the USA. Therefore we allow for endogenously determined multiple structural breaks in the empirical specifications of fractionally...

This paper shows that the structural breaks are an important characteristic of the monthly labor force participation rate (LFPR) series of Australia, Canada and the USA. Therefore we allow for endogenously determined multiple structural breaks in the empirical specifications of fractionally...

We estimate a structural dynamic programming model of schooling decisions and obtain individual specific estimates of the local (and average) returns to schooling as well as the returns to experience. Homogeneity of the returns to human capital is strongly rejected in favor of a discrete...

Using a dynamic programming model of schooling decisions, we investigate the relationship between subjective discount rates and the labor market ability (the discount rate bias) on a panel taken from the National Longitudinal Survey of Youth (NLSY). Given household human capital and Armed Forces...

This paper examines the possibility of unit roots in the presence of endogenously determined multiple structural breaks in the total, female and male labour force participation rates (LFPR) for Australia, Canada and the USA. We extend the procedure of Gil-Alana (2008) for single structural break...

This paper shows that the structural breaks are an important characteristic of the monthly labor force participation rate (LFPR) series of Australia, Canada and the USA. Therefore we allow for endogenously determined multiple structural breaks in the empirical specifications of fractionally...

We estimate a structural dynamic programming model of schooling decisions with unobserved heterogeneity in school ability and market ability on a sample taken from the National Longitudinal Survey of Youth (NLSY). Both the instantaneous utility of attending school and the wage regression...

We estimate a finite mixture dynamic programming model of schooling decisions in which the log wage regression function is set in a random coefficient framework. The model allows for absolute and comparative advantages in the labor market and assumes that the population is composed of 8 unknown...

We estimate a dynamic programming model of schooling decisions in which the degree of risk aversion can be inferred from schooling decisions. In our model, individuals are heterogeneous with respect to school and market abilities but homogeneous with respect to the degree of risk aversion. We...