Lori Beaman

Do Job Networks Disadvantage Women? Evidence from a Recruitment Experiment in Malawi

We use a field experiment to show that referral-based hiring has the potential to disadvantage qualified women, highlighting another potential channel behind gender disparities in the labor market. Through a recruitment drive for a firm in Malawi, we look at men’s and women’s referral choices under different incentives and constraints. We find that men systematically refer few women, despite being able to refer qualified women when explicitly asked for female candidates. Performance pay also did not alter men’s tendencies to refer men. In addition, women did not refer enough high-quality women to offset men’s behavior.

Can Network Theory-based Targeting Increase Technology Adoption?

In order to induce farmers to adopt a productive new agricultural technology, we apply simple and complex contagion diffusion models on rich social network data from 200 villages in Malawi to identify seed farmers to target and train on the new technology. A randomized controlled trial compares these theory-driven network targeting approaches to simpler strategies that either rely on a government extension worker or an easily measurable proxy for the social network (geographic distance between households) to identify seed farmers. Our results indicate that technology diffusion is characterized by a complex contagion learning environment in which most farmers need to learn from multiple people before they adopt themselves. Network theory based targeting can out-perform traditional approaches to extension, and we identify methods to realize these gains at low cost to policymakers. Keywords: Social Learning, Agricultural Technology Adoption, Complex Contagion, Malawi JEL Classification Codes: O16, O13

Self-Selection into Credit Markets: Evidence from Agriculture in Mali

We partnered with a micro-lender in Mali to randomize credit offers at the village level. Then, in no-loan control villages, we gave cash grants to randomly selected households. These grants led to higher agricultural investments and profits, thus showing that liquidity constraints bind with respect to agricultural investment. In loan-villages, we gave grants to a random subset of farmers who (endogenously) did not borrow. These farmers have lower – in fact zero – marginal returns to the grants. Thus we find important heterogeneity in returns to investment and strong evidence that farmers with higher marginal returns to investment self-select into lending programs.