We develop a theoretical model in which technology adoption decisions are based on the information received from others about the quality of a new technology and on their risk attitudes. We test the predictions of this model using a randomized field experiment in Bangladesh. We show that the...

We develop a theoretical model in which technology adoption decisions are based on the information received from others about the quality of a new technology and on their risk attitudes. We test the predictions of this model using a randomized field experiment in Bangladesh. We show that the...

We develop a theoretical model in which technology adoption decisions are based on the information received from others about the quality of a new technology and on their risk attitudes. We test the predictions of this model using a randomized field experiment in Bangladesh. We show that the...

We survey the literature on the economic consequences of the structure of social networks. We develop a taxonomy of "macro" and "micro" characteristics of social interaction networks and discuss both the theoretical and empirical findings concerning the role of those characteristics in...

We survey the literature on the economic consequences of the structure of social networks. We develop a taxonomy of 'macro' and 'micro' characteristics of social interaction networks and discuss both the theoretical and empirical findings concerning the role of those characteristics in...

We develop a model of competing diffusions of goods on a social network. There are two types of goods and individuals: mass-market (more prevalent) and niche-market. We start with a general threshold rule and show that multiple equilibria prevail. Then, when everyone uses a single friend...

We develop a theoretical model in which farmers' adoption decisions are based on their degree of risk aversion and on the information about the quality of a new technology received from other farmers. To test the predictions of this model, we run a field experiment in Bangladesh. We show that...