In many cases, aggregate data is used to make inferences about individual level behavior. If there are social interactions in which one person's actions influence his neighbor's incentives or information, then these inferences are inappropriate. The presence of positive social interactions, or...

Over the past 30 years, the share of adult populations with college degrees increased more in cities with higher initial schooling levels than in initially less educated places. This tendency appears to be driven by shifts in labor demand as there is an increasing wage premium for skilled people...

A central challenge in securing property rights is the subversion of justice through legal skill, bribery, or physical force by the strong — the state or its powerful citizens — against the weak. We present evidence that the less educated and poorer citizens in many countries feel their...

Can new data sources from online platforms help to measure local economic activity? Government datasets from agencies such as the U.S. Census Bureau provide the standard measures of local economic activity at the local level. However, these statistics typically appear only after multi-year lags,...

A central requirement in the design of a legal system is the protection of law enforcers from coercion by litigants through either violence or bribes. The higher the risk of coercion, the greater the need for protection and control of law enforcers by the state. This perspective explains why, in...

Using a sample of Harvard undergraduates, we analyze trust and social capital in two experiments. Trusting behavior and trustworthiness rise with social connection; differences in race and nationality reduce the level of trustworthiness. Certain individuals appear to be persistently more...

Entrepreneurs who start new firms may choose not-for-profit status as a means of committing to soft incentives. Such incentives protect donors, volunteers, consumers and employees from ex post expropriation of profits by the entrepreneur. We derive conditions under which completely...