We study compensation packages in family and non-family firms. Using matched employer-employee data for a representative sample of French establishments, we first show that family firms pay on average lower wages to their workers. We find that part of this wage gap is due to differences in...

This paper reviews the literature on the impact of work on health. We consider work along two dimensions: (i) the intensive margin, i.e. how many hours an individual works and (ii) the extensive margin, i.e. whether an individual is in employment or not, independent of the number of hours...

We investigate the role of local social pressure in shaping the geographical pattern of firms' firing decisions. Using French linked employer-employee data, we show that social pressure exerted by the local communities where firms' headquarters are located induces CEOs to refrain from dismissing...

We investigate the impact of labour market concentration on two dimensions of job quality, namely wages and job security. We leverage rich administrative linked employer-employee data from Denmark, France, Germany, Italy, Portugal and Spain in the 2010s to provide the first comparable...

We investigate the impact of labor market concentration on stayers' wages, where stayers are defined as individuals who were already employed in the same firm the year before. Using administrative data for France, we show that the elasticity of stayers' wages to labor market concentration ranges...

We develop a simple theoretical model showing that, by adding to the adjustment costs associated with permanent contracts, local social pressure against dismissals creates an incentive for CEOs to rely on fixed-term contracts, in an attempt to escape social pressure. Using linked...

We study the reactions to job destructions on Twitter. We use information on large-scale job-destruction and job-creation events announced in the United Kingdom over the period 2013-2018. We match it with data collected on Twitter regarding the number and sentiments of the tweets posted around...

We study social reactions to job destructions on Twitter. We use information on large-scale restructuring events announced in the United Kingdom over the period 2013-2018. We match it with data collected on Twitter regarding the number and sentiments of the tweets posted around the time of the...