A large literature has studied how peers affect behavior by exploiting the preexisting social network structure only. What if networks rewire in response to changes in the economic environment, such as a randomized intervention? We exploit a unique panel dataset that contains detailed...

Many studies have used self-reported dyadic data without exploiting the pattern of discordant answers. In this paper we propose a maximum likelihood estimator that deals with mis-reporting in a systematic way. We illustrate the methodology using dyadic data on inter-household transfers (gifts...

We study the role of social learning in the diffusion of cash crops in a resettled village economy in northeastern Brazil. We combine detailed geo-coded data on farming plots with dyadic data on social ties among settlers, and we leverage natural exogenous variation in network formation induced...

This paper uses data from the Gallup World Poll to explore the determinants of subjective well-being. The paper builds on the existing literature on the determinants of subjective well-being in three areas. First, the paper systematically examines the drivers of measures of affect as well as the...