no code implementations • 28 Aug 2023 • Krishna Dasaratha, Benjamin Golub, Anant Shah
A group of agents each exert effort to produce a joint output, with the complementarities between their efforts represented by a (weighted) network.
no code implementations • 3 Oct 2022 • Krishna Dasaratha, Kevin He
We study learning on social media with an equilibrium model of users interacting with shared news stories.
no code implementations • 30 Apr 2020 • Krishna Dasaratha
Motivated by epidemics such as COVID-19, we study the spread of a contagious disease when behavior responds to the disease's prevalence.
no code implementations • 22 Nov 2019 • Krishna Dasaratha, Kevin He
In a class of networks where agents move in generations and observe the previous generation, we quantify the information loss with an aggregative efficiency index.
no code implementations • 15 Nov 2019 • Krishna Dasaratha
These intermediaries can facilitate a high-innovation equilibrium by transmitting ideas from one private firm to another.
no code implementations • 5 Sep 2019 • Krishna Dasaratha, Kevin He
A network determines the observable predecessors, and we compare subjects' accuracy on sparse and dense networks.
no code implementations • 6 Jan 2018 • Krishna Dasaratha, Benjamin Golub, Nir Hak
The dynamics thus parallel those of the tractable DeGroot model of learning in networks, but arise as an equilibrium outcome rather than a behavioral assumption.
