25 citations · 93 across the 13 of their papers we have counts for
15 papers
Attention and Social Learning
Krishna Dasaratha, Kevin He
In an incentivized laboratory experiment, we study how people account for and respond to others' incentives for paying attention. Participants learn a binary state from an attentio…
Optimal Bailouts in Diversified Financial Networks
Krishna Dasaratha, Santosh Venkatesh, Rakesh Vohra
Widespread default involves substantial deadweight costs which could be countered by injecting capital into failing firms. Injections have positive spillovers that can trigger a re…
Equity Pay In Networked Teams
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. Under equity compensation, a pr…
Learning from Viral Information
Krishna Dasaratha, Kevin He
Motivated by social media, we study an equilibrium model of agents interacting with and learning from each other's signals. Rational agents arrive sequentially, observe a signal (c…
Virus Dynamics with Behavioral Responses
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. We extend the SIR epidemiological model to…
Aggregative Efficiency of Bayesian Learning in Networks
Krishna Dasaratha, Kevin He
When individuals in a social network learn about an unknown state from private signals and neighbors' actions, the network structure often causes information loss. We consider rati…
Innovation and Strategic Network Formation
Krishna Dasaratha
We study a model of innovation with a large number of firms that create new technologies by combining several discrete ideas. These ideas are created via private investment and spr…
An Experiment on Network Density and Sequential Learning
Krishna Dasaratha, Kevin He
We conduct a sequential social-learning experiment where subjects each guess a hidden state based on private signals and the guesses of a subset of their predecessors. A network de…
Learning from Neighbors about a Changing State
Krishna Dasaratha, Benjamin Golub, Nir Hak
Agents learn about a changing state using private signals and their neighbors' past estimates of the state. We present a model in which Bayesian agents in equilibrium use neighbors…
Distributions of Centrality on Networks
Krishna Dasaratha
We provide a framework for determining the centralities of agents in a broad family of random networks. Current understanding of network centrality is largely restricted to determi…
Network Structure and Naive Sequential Learning
Krishna Dasaratha, Kevin He
We study a sequential-learning model featuring a network of naive agents with Gaussian information structures. Agents apply a heuristic rule to aggregate predecessors' actions. The…
Stern Sequences for a Family of Multidimensional Continued Fractions: TRIP-Stern Sequences
Ilya Amburg, Krishna Dasaratha, Laure Flapan +6
The Stern diatomic sequence is closely linked to continued fractions via the Gauss map on the unit interval, which in turn can be understood via systematic subdivisions of the unit…
Rational points on twisted K3 surfaces and derived equivalences
Kenneth Ascher, Krishna Dasaratha, Alexander Perry +1
Using a construction of Hassett--Várilly-Alvarado, we produce derived equivalent twisted K3 surfaces over , , and , where one has a rational p…
Cubic Irrationals and Periodicity via a Family of Multi-dimensional Continued Fraction Algorithms
Krishna Dasaratha, Laure Flapan, Thomas Garrity +5
We construct a countable family of multi-dimensional continued fraction algorithms, built out of five specific multidimensional continued fractions, and find a wide class of cubic…
A Generalized Family of Multidimensional Continued Fractions: TRIP Maps
Krishna Dasaratha, Laure Flapan, Thomas Garrity +5
Most well-known multidimensional continued fractions, including the Mönkemeyer map and the triangle map, are generated by repeatedly subdividing triangles. This paper constructs a…