We use a calibrated general equilibrium model with heterogeneous labor and search to evaluate the quantitative effects of various labor tax cut scenarios. The focus is on skill heterogeneity combined with downward wage rigidities at the low end of the skill ladder. Workers can take jobs for...

This paper develops and tests a new model of asymmetric information in the labour market involving employer learning. In the model, I provide theoretical conditions for the identification – based on the experience and tenure profiles of estimated returns to ability and education – of...

In recent decades most developed countries have experienced an increase in income inequality. In this paper, we use an equilibrium search framework to shed additional light on what is causing an income distribution to change. The major benefit of the model is that it can accommodate shocks to...

Persistent productivity gains to rural-urban migrants have been documented by a number of researchers. One interpretation of this result is that individuals learn higher value skills in cities than they would have learned in less dense areas. Another explanation for this result, however, is that...

Several firm-related aspects of employee productivity are analyzed using GSOEP data. The basic premise is that, as a consequence of frustration, overeducated employees are less productive than their correctly allocated colleagues. However, the results obtained in the present study contradict the...

Skill-biased technical change is usually interpreted in terms of the efficiency parameters of skilled and unskilled labor. This implies that the relative productivity of skilled workers changes proportionally in all tasks. In contrast, we argue that technical changes also affect the curvature of...

In labor markets with worker and firm heterogeneity, the matching between firms and workers may be assortative, meaning that the most productive workers and firms team up. We investigate this with longitudinal population-wide matched employer-employee data from Portugal. Using dynamic panel data...