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...

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 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...

How do changes in mobility impact crime? Using police precinct-level daily crime statistics and shootings data from the state of Rio de Janeiro, Brazil, we estimate that extortion, theft, and robberies decrease by at least 41.6% following COVID-19 mandated stay-at-home orders and changes in...

The new Coronavirus pandemic (COVID-19), which began in late 2019 in China, lead to a health and economic crisis of significant proportions. The decrease in economic activity in order to prevent further spread of the disease affected all economic sectors, resulting in the unprecedented loss of...

This paper sets out to analyze gender behavior in the Brazilian labor market as a result of the economic effects of the COVID-19 pandemic. It focuses on job destruction and creation during the lockdown and implementation of social distancing throughout 2020. To do so, it uses the New General...

We applied the SIR-macro model proposed by Eichenbaum et al. (2020) in its complete version to comparatively study the interaction between economic decisions and COVID-19 epidemics in five different Brazilian states: São Paulo (SP), Amazonas (AM), Ceará (CE), Rio de Janeiro (RJ), and...

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...