Using panel data from Spain Farinas and Ruano (IJIO 2005) test three hypotheses from a model by Hopenhayn (Econometrica 1992): (H1) Firms that exit in year t were in t-1 less productive than firms that continue to produce in t. (H2) Firms that enter in year t are less productive than incumbent...

We analyze how an entry regulation that imposes a mandatory educational standard affects entry into self-employment and occupational mobility. We exploit the German reunification as a natural experiment and identify regulatory effects by comparing differences between regulated occupations and...

This paper examines the impact of trade liberalization on firms' product and labor market power. We estimate the prevalence and intensity of firm-level price-cost markups and either wage markups or wage markdowns. We take the dependence between these model-consistent measures of product and...

We study the labor market outcomes of a deregulation reform in Germany that removed licensing requirements to become self-employed in some occupations. Using longitudinal social security data, we implement a matched difference-in-differences design with entropy balancing to account for...

Does regulation affect the pace and nature of innovation and if so, by how much? We build a tractable and quantifiable endogenous growth model with size-contingent regulations. We apply this to population administrative firm panel data from France, where many labor regulations apply to firms...

To examine the drivers of innovation, this paper studies the global R and D effort to fight the deadliest diseases and presents four results. We find: (1) global pharmaceutical R and D activity-measured by clinical trials-typically follows the 'law of diminishing effort': id est the elasticity...

This study gives a comparative overview of labor market dynamics and institutional arrangements in Germany and Brazil with particular emphasis on industrial relations, wage setting, unemployment benefits, employment protection and vocational training. The paper shows that institutions determine...

This paper investigates the impact of Conditional Cash Transfer (CCT) programs on crime. Making use of a unique dataset combining detailed school characteristics with time and geo-referenced crime information from the city of São Paulo, Brazil, we estimate the contemporaneous effect of the...

We estimate the subnational employment and GDP multiplier of Brazil's 2020 federal cash transfers to vulnerable households. Using two-stage least squares regressions we estimate a formal employment multiplier and then apply an analytical transformation to recover an implied GDP multiplier in the...

We investigate the effect of job loss and unemployment benefits on criminal behavior, exploiting individual-level data on the universe of workers and criminal cases in Brazil over the 2009-2017 period. We match workers displaced upon plausibly exogenous mass layoffs with...