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Krishna Dasaratha

Krishna Dasaratha

· Assistant Professor

Boston University · Economics

Active 2012–2026

h-index9
Citations213
Papers5121 last 5y
Funding$159k1 active

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Krishna Dasaratha is an Assistant Professor of Economics at Boston University. His research is primarily in microeconomic theory with a focus on social and economic networks, including diffusion processes, social learning, and network formation. He received his PhD in economics from Harvard University in March 2021. His work involves studying the mechanisms and dynamics of social and economic networks, contributing to a deeper understanding of how information and behaviors spread within these networks.

Research topics

  • Computer science
  • Mathematics
  • Artificial intelligence
  • Combinatorics
  • Machine learning

Selected publications

  • Learning from Neighbours about a Changing State

    The Review of Economic Studies · 2022-11-15 · 16 citations

    article1st authorCorresponding

    Abstract Agents learn about a changing state using private signals and their neighbours’ past estimates of the state. We present a model in which Bayesian agents in equilibrium use neighbours’ estimates simply by taking weighted sums with time-invariant weights. The dynamics thus parallel those of the tractable DeGroot model of learning in networks, but arise as an equilibrium outcome rather than a behavioural assumption. We examine whether information aggregation is nearly optimal as neighbourh…

    PublisherDOI

  • Equity Pay in Networked Teams

    2023-07-07 · 5 citations

    article1st authorCorresponding

    Equity compensation is widely used to motivate members of a team, such as a startup, to work toward a common goal. A natural question, about which little is known, is how the structure of collaborations should influence the design of equity compensation. We analyze this problem in a standard quadratic-payoffs network game model of production with heterogeneous complementarities. Each member of the team chooses a level of costly effort. This effort makes a "standalone" contribution to the firm's…

    PublisherDOI

  • Aggregative Efficiency of Bayesian Learning in Networks

    SSRN Electronic Journal · 2021-01-01 · 3 citations

    articleOpen access1st authorCorresponding
    PublisherDOI

  • Virus dynamics with behavioral responses

    Journal of Economic Theory · 2023-09-25 · 2 citations

    preprintOpen access1st authorCorresponding
    PublisherOA PDFDOI

  • Equity Pay in Networked Teams

    SSRN Electronic Journal · 2023-01-01 · 2 citations

    articleOpen access1st authorCorresponding
    PublisherDOI

Recent grants

Frequent coauthors

  • Benjamin Golub

    12 shared

  • Laure Flapan

    9 shared

  • Nicholas Neumann-Chun

    9 shared

  • Sarah Peluse

    9 shared

  • Chansoo Lee

    9 shared

  • Kevin He

    University of Pennsylvania

    9 shared

  • Cornelia Mihaila

    Saint Michael's College

    9 shared

  • Nir Hak

    Uber AI (United States)

    8 shared

Education

  • Ph.D.

    Harvard University

    2021

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