Recent evaluations of traditional microfinance loans have found no significant impacts on borrower incomes or productive activities. We examine whether this can be remedied by (a) modifying loan features to facilitate financing of working capital needs of farmers, and (b) delegating selection of...

Large and regular seasonal price fluctuations in local grain markets appear to offer African farmers substantial inter-temporal arbitrage opportunities, but these opportunities remain largely unexploited: small-scale farmers are commonly observed to "sell low and buy high" rather than the...

We examine whether returns to capital are higher for farmers who borrow than for those who do not, a direct implication of many credit market models. We measure the difference in returns through a two-stage loan and grant experiment. We find large positive investment responses and returns to...

Risk often inhibits on-farm investment by smallholder farmers. Recent evidence indicates that index insurance and stress tolerant seeds can separately and partially offset this risk effect. In this study, we explore whether the complementarities between these two risk management technologies can...

Agricultural productivity in Sub-Saharan Africa (SSA) lags far behind all other regions of the world. A long list of policy experiments has yielded more evidence on what fails than on what works. We analyze a randomized control trial of a rare scaled-up success story: One Acre Fund's small...

We revisit the long-standing empirical evidence of an inverse relationship between farm size and productivity using rich microdata from Uganda. We show that farm size is negatively related to yields (output per hectare), as commonly found in the literature, but positively related to farm...

In discussing the paradoxical violation of expected utility theory that now bears his name, Maurice Allais noted that individuals tend to "greatly value" payoffs that are certain. Allais' observation would seem to imply that people will undervalue insurance relative to the predictions of...