In this paper we analyse a new Phillips curve (NPC) model and demonstrate that (i) frictional growth, i.e. the interplay of wage-staggering and money growth, generates a nonvertical NPC in the long-run, and (ii) the Phillips curve (PC) shifts with productivity growth. On this basis we estimate a...

This paper analyses the relation between US inflation and unemployment from the perspective of "frictional growth," a phenomenon arising from the interplay between growth and frictions. In particular, we examine the interaction between money growth (on the one hand) and various real and nominal...

This paper aims at identifying the labour share (wage-productivity gap) as a major factor in the evolution of inequality and employment. To this end, we use annual data for the US, UK and Sweden over the past forty years and estimate country-specific systems of labour demand and Gini coefficient...

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...

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...

We estimate a Dynamic Programming model of the decision between continuing schooling or entering the labor market using a panel from the National Longitudinal Survey (NLSY). The model, set in an expected utility framework (with a power utility function), fits data on both schooling attainments...