To understand leadership, it is necessary to understand the purpose of an organization. Organizations are hierarchies with leaders at the top. Why do we have leaders instead of an algorithm making decisions? The theory of the firm recognizes benefits to centralizing authority but these...

We study whether savings nudges have the unintended consequence of additional borrowing in high-interest credit. We use data from a pre-registered experiment that encouraged 3.1 million bank customers to save via SMS messages and train a machine learning algorithm to predict individual-level...

We implemented a field experiment designed to increase participants' willingness to visit a health clinic. We find differential responses to a $50 incentive framed as a loss versus framed as a gain. We find little support for the notion that loss aversion is responsible for the effectiveness of...

Motivated by the public debate regarding corporate responsibility, we construct a memory-based model of decision-making to illustrate how corporate and political communication can impact policy preferences. We test the predictions of our model in a new large-scale survey of U.S. citizens on...

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...

Exploiting a natural experiment and an innovative survey design, we study the social and political legacies of armed conflict exposure (ACE) among Turkish conscripts. Our empirical framework identifies the causal impact and the mediating pathways for the average male randomly picked from the...

We conducted a large-scale field experiment to calibrate phone messaging to its potential of overcoming behavioral barriers to maternal care uptake in the countryside of a developing country, where a significant share of women forgoes life-saving maternity-related care even when within reach....

We evaluate the impact of an online platform giving job seekers tips to improve their search and recommendations of new occupations and locations to target, based on their personal data and labor market data. Our experiment used an encouragement design and was conducted in collaboration with the...

We leverage a natural experiment in combination with data on adolescents' time preferences to assess whether there is heterogeneity in place effects on adolescent obesity. We exploit the plausibly exogenous assignment of military servicemembers, and consequently their children, to different...

We compare how well agents aggregate information in two repeated social learning environments. In the first setting agents have access to a public data set. In the second they have access to the same data, and also to the past actions of others. Despite the fact that actions contain no...