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Krishna Dasaratha

Personal Details

First Name:Krishna
Middle Name:
Last Name:Dasaratha
Suffix:
RePEc Short-ID:pda803
[This author has chosen not to make the email address public]
https://sites.google.com/site/krishnadasaratha/home

Affiliation

Department of Economics
Harvard University

Cambridge, Massachusetts (United States)
http://www.economics.harvard.edu/
RePEc:edi:deharus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Krishna Dasaratha, 2020. "Virus Dynamics with Behavioral Responses," Papers 2004.14533, arXiv.org, revised Sep 2023.
  2. Krishna Dasaratha, 2019. "Innovation and Strategic Network Formation," Papers 1911.06872, arXiv.org, revised Mar 2022.
  3. Krishna Dasaratha & Kevin He, 2019. "Aggregative Efficiency of Bayesian Learning in Networks," Papers 1911.10116, arXiv.org, revised Sep 2024.
  4. Krishna Dasaratha & Kevin He, 2019. "An Experiment on Network Density and Sequential Learning," Papers 1909.02220, arXiv.org, revised May 2021.
  5. Krishna Dasaratha & Benjamin Golub & Nir Hak, 2018. "Learning from Neighbors about a Changing State," Papers 1801.02042, arXiv.org, revised Nov 2022.
  6. Krishna Dasaratha & Kevin He, 2017. "Network Structure and Naive Sequential Learning," Papers 1703.02105, arXiv.org, revised May 2020.
  7. Krishna Dasaratha, 2017. "Distributions of Centrality on Networks," Papers 1709.10402, arXiv.org, revised Jun 2019.

Articles

  1. Dasaratha, Krishna, 2020. "Distributions of centrality on networks," Games and Economic Behavior, Elsevier, vol. 122(C), pages 1-27.
  2. Dasaratha, Krishna & He, Kevin, 2020. "Network structure and naive sequential learning," Theoretical Economics, Econometric Society, vol. 15(2), May.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Krishna Dasaratha, 2020. "Virus Dynamics with Behavioral Responses," Papers 2004.14533, arXiv.org, revised Sep 2023.

    Cited by:

    1. Martin F. Quaas & Jasper N. Meya & Hanna Schenk & Björn Bos & Moritz A. Drupp & Till Requate, 2020. "The Social Cost of Contacts: Theory and Evidence for the Covid-19 Pandemic in Germany," CESifo Working Paper Series 8347, CESifo.
    2. Matthew Abiodun Dada, 2020. "COVID-19 Outbreak and Behavioral Maladjustments: A Shift from a Highly Globalized World to a Strange World of Unique Isolationism," Journal of Economics and Behavioral Studies, AMH International, vol. 12(4), pages 43-58.
    3. Davide Bosco & Luca Portoghese, 2024. "Complementarity, Congestion and Information Design in Epidemics with Strategic Social Behaviour," DEM Working Papers Series 218, University of Pavia, Department of Economics and Management.
    4. Carnehl, Christoph & Fukuda, Satoshi & Kos, Nenad, 2023. "Epidemics with behavior," Journal of Economic Theory, Elsevier, vol. 207(C).
    5. Martin F Quaas & Jasper N Meya & Hanna Schenk & Björn Bos & Moritz A Drupp & Till Requate, 2021. "The social cost of contacts: Theory and evidence for the first wave of the COVID-19 pandemic in Germany," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-29, March.
    6. Alessandro Ramponi & Maria Elisabetta Tessitore, 2024. "Optimal Social and Vaccination Control in the SVIR Epidemic Model," Mathematics, MDPI, vol. 12(7), pages 1-17, March.

  2. Krishna Dasaratha, 2019. "Innovation and Strategic Network Formation," Papers 1911.06872, arXiv.org, revised Mar 2022.

    Cited by:

    1. John Higgins & Tarun Sabarwal, 2021. "Control and Spread of Contagion in Networks," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202111, University of Kansas, Department of Economics.

  3. Krishna Dasaratha & Kevin He, 2019. "Aggregative Efficiency of Bayesian Learning in Networks," Papers 1911.10116, arXiv.org, revised Sep 2024.

    Cited by:

    1. Frick, Mira & Iijima, Ryota & Ishii, Yuhta, 2022. "Learning Efficiency of Multi-Agent Information Structures," CEPR Discussion Papers 16877, C.E.P.R. Discussion Papers.
    2. Pablo Durán-Santomil & Luís Otero-González, 2022. "Capital Allocation Methods under Solvency II: A Comparative Analysis," Mathematics, MDPI, vol. 10(3), pages 1-14, January.
    3. Bikhchandani, Sushil & Hirshleifer, David & Tamuz, Omer & Welch, Ivo, 2021. "Information Cascades and Social Learning," MPRA Paper 107927, University Library of Munich, Germany.

  4. Krishna Dasaratha & Kevin He, 2019. "An Experiment on Network Density and Sequential Learning," Papers 1909.02220, arXiv.org, revised May 2021.

    Cited by:

    1. Krishna Dasaratha & Kevin He, 2017. "Network Structure and Naive Sequential Learning," Papers 1703.02105, arXiv.org, revised May 2020.
    2. Mueller-Frank, Manuel, 2024. "As strong as the weakest node: The impact of misinformation in social networks," Journal of Economic Theory, Elsevier, vol. 215(C).

  5. Krishna Dasaratha & Benjamin Golub & Nir Hak, 2018. "Learning from Neighbors about a Changing State," Papers 1801.02042, arXiv.org, revised Nov 2022.

    Cited by:

    1. Raphael L'evy & Marcin Pk{e}ski & Nicolas Vieille, 2022. "Stationary social learning in a changing environment," Papers 2201.02122, arXiv.org.
    2. Sebastiano Della Lena, 2019. "Non-Bayesian Social Learning and the Spread of Misinformation in Networks," Working Papers 2019:09, Department of Economics, University of Venice "Ca' Foscari".
    3. Ilai Bistritz & Nasimeh Heydaribeni & Achilleas Anastasopoulos, 2019. "Do Informational Cascades Happen with Non-myopic Agents?," Papers 1905.01327, arXiv.org, revised Jul 2022.
    4. Wanying Huang & Philipp Strack & Omer Tamuz, 2021. "Learning in Repeated Interactions on Networks," Papers 2112.14265, arXiv.org, revised Jul 2024.

  6. Krishna Dasaratha & Kevin He, 2017. "Network Structure and Naive Sequential Learning," Papers 1703.02105, arXiv.org, revised May 2020.

    Cited by:

    1. Mira Frick & Ryota Iijima & Yuhta Ishii, 2020. "Belief Convergence under Misspecified Learning: A Martingale Approach," Cowles Foundation Discussion Papers 2235R2, Cowles Foundation for Research in Economics, Yale University, revised Dec 2021.
    2. Enrique Urbano Arellano & Xinyang Wang, 2023. "Social Learning of General Rules," Papers 2310.15861, arXiv.org.
    3. Mira Frick & Ryota Iijima & Yuhta Ishii, 2019. "Misinterpreting Others and the Fragility of Social Learning," Cowles Foundation Discussion Papers 2160R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2020.
    4. Li, Wei & Tan, Xu, 2020. "Locally Bayesian learning in networks," Theoretical Economics, Econometric Society, vol. 15(1), January.
    5. Elchanan Mossel & Manuel Mueller-Frank & Allan Sly & Omer Tamuz, 2012. "Social learning equilibria," Papers 1207.5895, arXiv.org, revised Sep 2019.
    6. Mueller-Frank, Manuel, 2024. "As strong as the weakest node: The impact of misinformation in social networks," Journal of Economic Theory, Elsevier, vol. 215(C).
    7. Mira Frick & Ryota Iijima & Yuhta Ishii, 2020. "Belief Convergence under Misspecified Learning: A Martingale Approach," Cowles Foundation Discussion Papers 2235R3, Cowles Foundation for Research in Economics, Yale University, revised Apr 2022.
    8. Sadler, Evan, 2020. "Innovation adoption and collective experimentation," Games and Economic Behavior, Elsevier, vol. 120(C), pages 121-131.
    9. Dasaratha, Krishna & He, Kevin, 2021. "An experiment on network density and sequential learning," Games and Economic Behavior, Elsevier, vol. 128(C), pages 182-192.
    10. Kevin He & Jonathan Libgober, 2021. "Evolutionarily Stable (Mis)specifications:Theory and Applications," PIER Working Paper Archive 21-020, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    11. Mira Frick & Ryota Iijima & Yuhta Ishii, 2020. "Stability and Robustness in Misspecified Learning Models," Cowles Foundation Discussion Papers 2235, Cowles Foundation for Research in Economics, Yale University.
    12. Simon Board & Moritz Meyer‐ter‐Vehn, 2021. "Learning Dynamics in Social Networks," Econometrica, Econometric Society, vol. 89(6), pages 2601-2635, November.

  7. Krishna Dasaratha, 2017. "Distributions of Centrality on Networks," Papers 1709.10402, arXiv.org, revised Jun 2019.

    Cited by:

    1. Francis Bloch & Matthew O. Jackson & Pietro Tebaldi, 2023. "Centrality measures in networks," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 61(2), pages 413-453, August.
    2. Promit K. Chaudhuri & Sudipta Sarangi & Hector Tzavellas, 2023. "Games Under Network Uncertainty," Papers 2305.03124, arXiv.org, revised Jul 2023.
    3. Philip Solimine & Luke Boosey, 2021. "Strategic formation of collaborative networks," Papers 2109.14204, arXiv.org, revised Apr 2024.
    4. Ding, Sihua, 2022. "Link investment substitutability: A factor influencing network formation," Games and Economic Behavior, Elsevier, vol. 136(C), pages 340-359.

Articles

  1. Dasaratha, Krishna, 2020. "Distributions of centrality on networks," Games and Economic Behavior, Elsevier, vol. 122(C), pages 1-27.
    See citations under working paper version above.
  2. Dasaratha, Krishna & He, Kevin, 2020. "Network structure and naive sequential learning," Theoretical Economics, Econometric Society, vol. 15(2), May.
    See citations under working paper version above.Sorry, no citations of articles recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 7 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-GTH: Game Theory (4) 2017-03-12 2018-01-22 2019-12-02 2019-12-09. Author is listed
  2. NEP-NET: Network Economics (4) 2017-03-12 2017-10-08 2019-09-16 2019-12-02. Author is listed
  3. NEP-MIC: Microeconomics (3) 2017-03-12 2018-01-22 2019-12-09. Author is listed
  4. NEP-URE: Urban and Real Estate Economics (3) 2017-03-12 2017-10-08 2019-09-16. Author is listed
  5. NEP-BEC: Business Economics (1) 2019-12-02
  6. NEP-CDM: Collective Decision-Making (1) 2019-12-02
  7. NEP-CSE: Economics of Strategic Management (1) 2019-12-02
  8. NEP-EVO: Evolutionary Economics (1) 2020-05-11
  9. NEP-EXP: Experimental Economics (1) 2019-09-16
  10. NEP-GEN: Gender (1) 2020-05-11
  11. NEP-HEA: Health Economics (1) 2020-05-11
  12. NEP-INO: Innovation (1) 2019-12-02
  13. NEP-SBM: Small Business Management (1) 2019-12-02
  14. NEP-SOC: Social Norms and Social Capital (1) 2017-10-08
  15. NEP-TID: Technology and Industrial Dynamics (1) 2019-12-02

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