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Аркадий Коновалов
(Arkady Konovalov)

Personal Details

First Name:Arkady
Middle Name:
Last Name:Konovalov
Suffix:
RePEc Short-ID:pko330
[This author has chosen not to make the email address public]

Affiliation

Department of Economics
Ohio State University

Columbus, Ohio (United States)
http://economics.osu.edu/
RePEc:edi:deohsus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Arkady Konovalov & Ian Krajbich, 2016. "Revealed Indifference: Using Response Times to Infer Preferences," Working Papers 16-01, Ohio State University, Department of Economics.

Articles

  1. Arkady Konovalov & Ian Krajbich, 2020. "Mouse tracking reveals structure knowledge in the absence of model-based choice," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
  2. Konovalov, Arkady & Krajbich, Ian, 2019. "Revealed strength of preference: Inference from response times," Judgment and Decision Making, Cambridge University Press, vol. 14(4), pages 381-394, July.
  3. Arkady Konovalov & Ian Krajbich, 2016. "Gaze data reveal distinct choice processes underlying model-based and model-free reinforcement learning," Nature Communications, Nature, vol. 7(1), pages 1-11, November.

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. Arkady Konovalov & Ian Krajbich, 2016. "Revealed Indifference: Using Response Times to Infer Preferences," Working Papers 16-01, Ohio State University, Department of Economics.

    Cited by:

    1. Clithero, John A., 2018. "Response times in economics: Looking through the lens of sequential sampling models," Journal of Economic Psychology, Elsevier, vol. 69(C), pages 61-86.
    2. Uwe Sunde & Dainis Zegners & Anthony Strittmatter, 2022. "Speed, Quality, and the Optimal Timing of Complex Decisions: Field Evidence," Papers 2201.10808, arXiv.org.
    3. Steiner, Jakub & Jehiel, Philippe, 2017. "On Second Thoughts, Selective Memory, and Resulting Behavioral Biases," CEPR Discussion Papers 12546, C.E.P.R. Discussion Papers.
    4. Carlos Alós-Ferrer & Ernst Fehr & Nick Netzer, 2021. "Time Will Tell: Recovering Preferences When Choices Are Noisy," Journal of Political Economy, University of Chicago Press, vol. 129(6), pages 1828-1877.
    5. Irenaeus Wolff & Dominik Bauer, 2018. "Elusive Beliefs: Why Uncertainty Leads to Stochastic Choice and Errors," TWI Research Paper Series 111, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    6. Niu, Xiaofei & Li, Jianbiao, 2019. "How Time Constraint Affects the Disposition Effect?," EconStor Preprints 194618, ZBW - Leibniz Information Centre for Economics.
    7. Efendić, Emir & Van de Calseyde, Philippe P.F.M. & Evans, Anthony M., 2020. "Slow response times undermine trust in algorithmic (but not human) predictions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 157(C), pages 103-114.
    8. David J. Cooper & Ian Krajbich & Charles N. Noussair, 2019. "Choice-Process Data in Experimental Economics," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 1-13, August.

Articles

  1. Arkady Konovalov & Ian Krajbich, 2016. "Gaze data reveal distinct choice processes underlying model-based and model-free reinforcement learning," Nature Communications, Nature, vol. 7(1), pages 1-11, November.

    Cited by:

    1. Geoffrey Fisher, 2023. "Measuring the Factors Influencing Purchasing Decisions: Evidence From Cursor Tracking and Cognitive Modeling," Management Science, INFORMS, vol. 69(8), pages 4558-4578, August.
    2. Fisher, Geoffrey, 2021. "A multiattribute attentional drift diffusion model," Organizational Behavior and Human Decision Processes, Elsevier, vol. 165(C), pages 167-182.
    3. Tarikere T. Niranjan & Narendra K. Ghosalya & Srinagesh Gavirneni, 2022. "Crying Wolf and a Knowing Wink: A Behavioral Study of Order Inflation and Discounting in Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1071-1088, March.
    4. Molter, Felix & Thomas, Armin W. & Heekeren, Hauke R. & Mohr, Peter N. C., 2019. "GLAMbox: A Python toolbox for investigating the association between gaze allocation and decision behaviour," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(12), pages 1-23.
    5. Amasino, Dianna R. & Dolgin, Jack & Huettel, Scott A., 2023. "Eyes on the account size: Interactions between attention and budget in consumer choice," Journal of Economic Psychology, Elsevier, vol. 97(C).
    6. Johann Lussange & Ivan Lazarevich & Sacha Bourgeois-Gironde & Stefano Palminteri & Boris Gutkin, 2021. "Modelling Stock Markets by Multi-agent Reinforcement Learning," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 113-147, January.
    7. Felix Molter & Armin W Thomas & Hauke R Heekeren & Peter N C Mohr, 2019. "GLAMbox: A Python toolbox for investigating the association between gaze allocation and decision behaviour," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-23, December.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper 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-DCM: Discrete Choice Models (1) 2016-04-09. Author is listed
  2. NEP-EXP: Experimental Economics (1) 2016-04-09. Author is listed
  3. NEP-NEU: Neuroeconomics (1) 2016-04-09. Author is listed
  4. NEP-UPT: Utility Models and Prospect Theory (1) 2016-04-09. Author is listed

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