Using matched employer-employee data, we analyse the impact of immigrants on natives' employment in Portugal. Using different model specifications, we show that the natives and immigrants are 'complements' at most occupation levels, in the sense that they are jointly hired and fired. Controlling...

Using matched employer-employee data, we analyse the impact of immigrants on natives' employment in Portugal. Using different model specifications, we show that the natives and immigrants are 'complements' at most occupation levels, in the sense that they are jointly hired and fired. Controlling...

Using longitudinal employer-employee data spanning over a 22-year period, we compare age-wage and age-productivity profiles and find that productivity increases until the age range of 50-54, whereas wages peak around the age 40-44. At younger ages, wages increase in line with productivity gains...

Using matched employer-employee data, we identify the determinants of immigrants' earnings in the Portuguese labor market. Results previously reported for countries with a long tradition of hosting migrants are also valid in a new destination country. Two-thirds of the gap is attributable to...

At first blush, most advances in labour demand were achieved by the late 1980s. Since then progress might appear to have stalled. We argue to the contrary that significant progress has been made in understanding labour market frictions and imperfections, and in modelling search behaviour and...

Using longitudinal employer-employee data spanning over a 22-year period, we compare age-wage and age-productivity profiles and find that productivity increases until the age range of 50-54, whereas wages peak around the age 40-44. At younger ages, wages increase in line with productivity gains...

The consequences of aggregation, temporal or spatial, for the estimation of demand models are theoretically well-known, but have not been documented empirically with appropriate data before. In this paper we conduct a simple, but instructive, exercise to fill in this gap, using a large quarterly...