A model with search and matching frictions and heterogeneous workers was established to evaluate a reform of the public sector wage policy in steady-state. The model was calibrated to the UK economy based on Labour Force Survey data. A review of the pay received by all public sector workers to...

The public sector hires disproportionately more educated workers. Using US microdata, we show that the education bias also holds within industries and in two thirds of 3-digit occupations. To rationalize this finding, we propose a model of private and public employment based on two features....

The public sector hires disproportionately more educated workers. To rationalize this finding, we propose a model with a perfectly competitive private sector, and non-Walrasian public sector. Our economy also features heterogeneity across individuals and jobs, and a simple sorting mechanism that...

For the period between 2003 and 2018, we document a number of facts about worker gross flows in France, the United Kingdom, Spain and the United States, focussing on the role of the public sector. Using the French, Spanish and UK Labour Force Survey and the US Current Population Survey data, we...

The size of the public sector in terms of employment and compensation has a strong life-cycle dimension. We establish a quantitative partial-equilibrium life-cycle model with incomplete markets, private and public sectors, and risk-averse workers, and use it to (i) calculate three dimensions of...

In most countries, the public sector hires disproportionally more women than men. We document gender differences in employment, transition probabilities, hours, and wages in the public and private sector using microdata for the United States, the United Kingdom, France, and Spain. We then build...

Most of the existing evidence on the effectiveness of family leave policies comes from studies focusing on their impacts on affected families - that is, mothers, fathers, and their children - without a clear understanding of the costs and effects on firms and coworkers. We use data from Denmark...