This project looks at the effect of providing free sanitary pads to female garment workers in Bangladesh on worker health, well-being, absenteeism and productivity.
When does it make sense for a business that has gained private information about a supplier or customer to share that information, and with whom? This project aims to answer this question in the context of Nigerian traders.
This project asks whether large, semi-coordinated online marketplaces can provide the benefits of expanded market access with much lower costs than foreing trade expansion.
This project exploits a relationship built by the researcher with a large scale armed organization to examine the causes of voluntary recruitment and the trajectories in the organization of individuals who joined as a response to different shocks.
This project relies on a collaboration with a large Kenyan contract farming company to provide an experimental evaluation of the impact of this form of outsourcing on performance, plot productivity and farmers' incomes.
This project takes aggregate models in which economic development is linked to knowledge diffusion, and proves theoretically that critical diffusion parameters can be identified with a properly designed RCT.
This project aims to bring a firm-level dataset collected by the Central Statistical Office (CSO) in Swaziland to the broader research domain, to standardize the data series over time and provide documentation to allow for the use of this data by a larger community of researchers.
This project looks, on the one hand, at the effect of charity donations to terrorist organizations on attacks, and on the other at how firms adjust their lending and investment decisions in presence of increased uncertainty.
This project provides new evidence on the effects of trade liberalization on buyer-seller relations at both the extensive and intensive margin using a novel dataset on Pakistani firms.
This project addresses three key constraints that are particularly relevant to small firms in capital-intensive industries: knowledge constraints, market failures and lack of economies of scale.