Most evaluation studies of active labour market policies (ALMP) focus on the microeconometric evaluation approach using individual data. However, as the microeconometric approach usually ignores impacts on the non-participants, it should be seen as a first step to a complete evaluation which has...

This paper is concerned with ex ante and ex post counterfactual analyses in the case of macroeconometric applications where a single unit is observed before and after a given policy intervention. It distinguishes between cases where the policy change affects the model's parameters and where it...

Bubbles are recurrent events, which contribute to both macroeconomic and employment volatility. We introduce stochastic bubbles in the standard search-and matching model of the labor market. The economy alternates between latent and bubbly states, each being associated with a distinct solution...

American business seems to be infatuated with its workers' "leadership" skills. Is there such a thing, and is it rewarded in labor markets? Using the Project Talent, NLS72 and High School and Beyond datasets, we show that men who occupied leadership positions in high school earn more as adults,...

This paper examines the 1997 additions to the Current Population Survey education question. These new questions allow researchers to come closer to the "highest grade completed" measure available before 1992. Using the new information, the average imputed "highest grade completed" is one-tenth...

In this paper we provide evidence for the impact of public funding on enrolment of students in college. We use a panel for European countries and apply instrumental variables techniques to find that public funding for schooling - regardless at what level - does increase college enrolment alike...

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...