We build a model of social capital in networks based on repeated interactions. The strength of a relationship in part derives from the value of transactions it enables in the future. We show that shocks can be amplified through a network multiplier, because trust withdrawal that constrains...

double-counting.

This paper builds a theory of trust based on informal contract enforcement in social networks. In our model, network connections between individuals can be used as social collateral to secure informal borrowing. We de…ne network-based trust as the highest amount one agent can borrow from...

We seed noisy information to members of a real-world social network to study how information diffusion and information aggregation jointly shape social learning. Our environment features substantial social learning. We show that learning occurs via diffusion which is highly imperfect: signals...

We seed noisy information to members of a real-world social network to study how information diffusion and information aggregation jointly shape social learning. Our environment features substantial social learning. We show that learning occurs via diffusion which is highly imperfect: signals...

We seed noisy information to members of a real-world social network to study how information diffusion and information aggregation jointly shape social learning. Our environment features substantial social learning. We show that learning occurs via diffusion which is highly imperfect: signals...

This paper builds a theory of informal contract enforcement in social networks. In our model, relationships between individuals generate social collateral that can be used to control moral hazard when agents interact in a borrowing relationship. We define trust between two agents as the maximum...

This paper builds a theory of trust based on informal contract enforcement in social networks. In our model, network connections between individuals can be used as social collateral to secure informal borrowing. We define network-based trust as the largest amount one agent can borrow from...

We build a model of informal risk-sharing among agents organized in a social network. A connection between individuals serves as collateral that can be used to enforce insurance payments. We characterize incentive compatible risk-sharing arrangements for any network structure, and develop two...