We apply a Regression Discontinuity based approach to screen for collusion developed in Kawai et al. (2022) to public procurement data from five countries. We find that bidders who win by a very small margin have significantly lower backlog than those who lose by a very small margin in the...

This paper offers a new approach to measuring the size of the informal economy based on VAT data for the European Union. Although data intensive, our EVADE measure is simpler and more transparent than existing measures. EVADE also shows more variation across countries of Europe than earlier...

This paper explores the labor market returns to working on a victorious political campaign. Using unique administrative data from Brazil, we track the earnings and employment of campaign workers before and after close elections spanning nearly 20 years. We identify sizable returns to working for...

We present results from a randomized controlled trial in Bangladesh that introduced operational practices to improve energy efficiency and reduce emissions in 276 "zigzag" brick kilns. 65% of intervention kilns adopted the improved practices. Treatment assignment reduced energy use by 10.3%...

Which region(s) will come to dominate the world economy? This paper develops the Global Gaidar Model (GGM), a 17-region, 2-skills, 100-period OLG model, to address this and other questions. The model is carefully calibrated to 2017 UN demographic and IMF fiscal data. Productivity growth and its...

In low-income communities, pressure to share income with others may disincentivize work, distorting labor supply. We document that across countries, social groups that undertake more interpersonal transfers work fewer hours. Using a field experiment, we enable piece-rate factory workers in Côte...

We study how individual political views shape firm behavior and labor market outcomes. Using new micro-data on the political affiliation of business owners and private-sector workers in Brazil over the 2002-2019 period, we first document the presence of political assortative matching: business...

Online platforms often face challenges being both fair (i.e., non-discriminatory) and efficient (i.e., maximizing revenue). Using computer vision algorithms and observational data from a microlending marketplace, we find that choices made by borrowers creating online profiles impact both of...

Globally, coercive labor (i.e., forced, bonded, and/or trafficked labor) and child labor are disproportionately prevalent in environments with weak regulatory enforcement and state capacity. Effective strategies for addressing them may therefore need to align with the private incentives of...