By design, the Bitcoin protocol has a low throughput. The Lightning Network (LN) is a layer-two solution built to increase throughput by cryptographically securing commitments to transactions and only occasionally converting cumulative balances into on-chain transactions. LN channels enable...

Networks may rewire in response to interventions. We propose a measure of the total treatment effect for those situations where an intervention may affect the network structure. To build this measure, we develop a treatment response model allowing for dynamic peer effects. We illustrate our...

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...

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...

Social interactions determine many economic behaviors, but information on social ties does not exist in most publicly available and widely used datasets. We present results on the identification of social networks from observational panel data that contains no information on social ties between...

Social interactions determine many economic behaviors, but information on social ties does not exist in most publicly available and widely used datasets. We present results on the identification of social networks from observational panel data that contains no information on social ties between...

The BoltzmannGibbs distribution is currently widely used in economic modeling. One of the applications is integrated with the DSGE (Dynamic Stochastic General Equilibrium) model. However, a question that arises concerns whether the BoltzmannGibbs distribution can be directly applied, without...

We study learning and influence in a setting where agents communicate according to an arbitrary social network and naïvely update their beliefs by repeatedly taking weighted averages of their neighbors' opinions. A focus is on conditions under which beliefs of all agents in large societies...

This paper reports results from a laboratory experiment on network formation among heterogeneous agents. The experimental design extends the Bala-Goyal (2000) model of network formation with decay and two-way flow of benefits by allowing for agents with lower linking costs or higher benefits to...

Modeling the evolution of networks is central to our understanding of modern large communication systems, such as theWorld-Wide-Web, as well as economic and social networks. The research on social and economic networks is truly interdisciplinary and the number of modeling strategies and concepts...