We propose leave‐out estimators of quadratic forms designed for the study of linear models
with unrestricted heteroscedasticity. Applications include analysis of variance and tests of …

We propose a framework to identify and estimate earnings distributions and worker
composition on matched panel data, allowing for two‐sided worker‐firm unobserved …

Using administrative German data, we show that large cities allow for a more efficient
matching between workers and firms and this has important consequences for geographical …

We estimate an equilibrium on-the-job search model with endogenous search intensity.
Workers differ by skill, firms by productivity. Workers respond to mismatch by intensive …

We present evidence that is consistent with large disparities across firms in their on-the-job
learning opportunities, using administrative datasets from Brazil and Italy. We categorize …

Positive assortative matching increases both the wages of more productive workers and
wage dispersion. We study the effect of immigration on positive assortative matching using …

In this paper, we explore the impact of a firm's workers' replacements on innovation
performance by using rich matched employer–employee panel data for the Veneto region of …

We study the link between firm productivity and the wages that firms pay. Guided by a search-
matching model with large firms, worker and firm heterogeneity, and production …

We harness big data to detect prime locations-large clusters of knowledge-based tradable
services-in 125 global cities and track changes in the within-city geography of prime service …

We consider sorting in the labor market, that is, whether high-or low-productivity workers and
firms tend to match with each other, and how this varies over time using US linked employer …