French Abstract: L'assimilation des immigrants dans la recherche d'emploi au Canada. L'assimilation des immigrants est un enjeu majeur dans plusieurs pays. Alors que le gros de la littérature spécialisée sur l'assimilation étudie le phénomène à l'aide d'un cadre d'analyse du capital...

This is the first paper that studies Millennials' school-to-work transition. Based on a dataset that circumvents the classic initial condition problem, we construct a longitudinal sample of youths' labor market history. Applying the sample to the canonical Burdett and Mortensen (1998)...

We analyze an equilibrium search model with three sources for wage and unemployment differentials among workers with the same (observed) human capital but different appearance (race): unobserved productivity, search intensities, and discrimination due to an appearance-based employer disutility...

The canonical supply-demand model of the wage returns to skill has been extremely influential; however, it has faced several important challenges. Several studies show that the standard approach sometimes produces theoretically wrong-signed elasticities of substitution, yields counterintuitive...

We compare earnings inequality and mobility across the U.S., Canada, France, Germany and the U.K. during the late 1990s. A flexible model of earnings dynamics that isolates positional mobility within a stable earnings distribution is estimated. Earnings trajectories are then simulated, and...

Immigrant assimilation is a major issue in many countries. While most of the literature studies assimilation through a human capital framework, we examine the role of job search assimilation. To do so, we estimate an equilibrium search model of immigrants operating in the same labor market as...

Separate identification of the price and quantity of human capital has important implications for understanding key issues in economics. Price and quantity series are derived for four education levels. The price series are highly correlated and they exhibit a strong secular trend. Three...