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Ryan Webb

Personal Details

First Name:Ryan
Middle Name:
Last Name:Webb
Suffix:
RePEc Short-ID:pwe241
[This author has chosen not to make the email address public]
http://www.ryan-webb.com
Terminal Degree:2011 Economics Department; Queen's University (from RePEc Genealogy)

Affiliation

Rotman School of Management
University of Toronto

Toronto, Canada
http://www.rotman.utoronto.ca/
RePEc:edi:smtorca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Johannes Hoelzemann & Ryan Webb & Erhao Xie, 2024. "Non-Parametric Identification and Testing of Quantal Response Equilibrium," Staff Working Papers 24-24, Bank of Canada.
  2. Kenneth I. Carlaw & Richard G. Lipsey & Ryan Webb, 2007. "Has the ICT Revolution Run its Course?," Discussion Papers dp07-18, Department of Economics, Simon Fraser University.

Articles

  1. Ryan Webb & Paul W. Glimcher & Kenway Louie, 2021. "The Normalization of Consumer Valuations: Context-Dependent Preferences from Neurobiological Constraints," Management Science, INFORMS, vol. 67(1), pages 93-125, January.
  2. Webb, Ryan & Mehta, Nitin & Levy, Ifat, 2021. "Assessing consumer demand with noisy neural measurements," Journal of Econometrics, Elsevier, vol. 222(1), pages 89-106.
  3. Stephanie M. Smith & Ian Krajbich & Ryan Webb, 2019. "Estimating the dynamic role of attention via random utility," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 97-111, August.
  4. Ryan Webb, 2019. "The (Neural) Dynamics of Stochastic Choice," Management Science, INFORMS, vol. 65(1), pages 230-255, January.

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. Kenneth I. Carlaw & Richard G. Lipsey & Ryan Webb, 2007. "Has the ICT Revolution Run its Course?," Discussion Papers dp07-18, Department of Economics, Simon Fraser University.

    Cited by:

    1. Federico Biagi, 2013. "ICT and Productivity: A Review of the Literature," JRC Working Papers on Digital Economy 2013-09, Joint Research Centre.
    2. Dov Samet & David Schmeidler, 2023. "Desirability relations in Savage’s model of decision making," Theory and Decision, Springer, vol. 94(1), pages 1-33, January.
    3. Дементьев В.Е., 2013. "Структурные Факторы Технологического Развития," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 49(4), pages 33-46, октябрь.
    4. Christiaan Hogendorn & Brett Frischmann, 2020. "Infrastructure and general purpose technologies: a technology flow framework," European Journal of Law and Economics, Springer, vol. 50(3), pages 469-488, December.
    5. Kenneth I. Carlaw & Richard G. Lipsey, 2021. "The Funding of Important Emerging and Evolving Technologies by the Public and Private Sectors," Discussion Papers dp21-04, Department of Economics, Simon Fraser University.

Articles

  1. Ryan Webb & Paul W. Glimcher & Kenway Louie, 2021. "The Normalization of Consumer Valuations: Context-Dependent Preferences from Neurobiological Constraints," Management Science, INFORMS, vol. 67(1), pages 93-125, January.

    Cited by:

    1. Benjamin Enke & Cassidy Shubatt, 2023. "Quantifying Lottery Choice Complexity," CESifo Working Paper Series 10644, CESifo.
    2. Glimcher, Paul W. & Tymula, Agnieszka A., 2023. "Expected subjective value theory (ESVT): A representation of decision under risk and certainty," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 110-128.
    3. Wan-Yu Shih & Hsiang-Yu Yu & Cheng-Chia Lee & Chien-Chen Chou & Chien Chen & Paul W. Glimcher & Shih-Wei Wu, 2023. "Electrophysiological population dynamics reveal context dependencies during decision making in human frontal cortex," Nature Communications, Nature, vol. 14(1), pages 1-24, December.
    4. Guo, Julie & Tymula, Agnieszka, 2021. "Waterfall illusion in risky choice – exposure to outcome-irrelevant gambles affects subsequent valuation of risky gambles," European Economic Review, Elsevier, vol. 139(C).
    5. Choi, S. Chan & Turut, Ozge, 2023. "National brand’s competition with premium private labels: The role of context-dependent preferences," Journal of Business Research, Elsevier, vol. 165(C).
    6. Chernulich, Aleksei, 2021. "Modelling reference dependence for repeated choices: A horse race between models of normalisation," Journal of Economic Psychology, Elsevier, vol. 87(C).

  2. Stephanie M. Smith & Ian Krajbich & Ryan Webb, 2019. "Estimating the dynamic role of attention via random utility," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 97-111, August.

    Cited by:

    1. 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.
    2. Fiedler, Susann & Hillenbrand, Adrian, 2020. "Gain-loss framing in interdependent choice," Games and Economic Behavior, Elsevier, vol. 121(C), pages 232-251.
    3. Pirrone, Angelo & Gobet, Fernand, 2021. "Is attentional discounting in value-based decision making magnitude sensitive?," LSE Research Online Documents on Economics 108608, London School of Economics and Political Science, LSE Library.
    4. 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.

  3. Ryan Webb, 2019. "The (Neural) Dynamics of Stochastic Choice," Management Science, INFORMS, vol. 65(1), pages 230-255, January.

    Cited by:

    1. Carlos Alós-Ferrer & Ernst Fehr & Nick Netzer, 2018. "Time will tell: recovering preferences when choices are noisy," ECON - Working Papers 306, Department of Economics - University of Zurich, revised Jun 2020.
    2. Linda Q. Yu & Jason Dana & Joseph W. Kable, 2022. "Individuals with ventromedial frontal damage display unstable but transitive preferences during decision making," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    3. Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Aldo Rustichini, 2020. "Multinomial logit processes and preference discovery: inside and outside the black box," Papers 2004.13376, arXiv.org, revised Jan 2021.
    4. Duffy, Sean & Smith, John, 2020. "An economist and a psychologist form a line: What can imperfect perception of length tell us about stochastic choice?," MPRA Paper 99417, University Library of Munich, Germany.
    5. Strittmatter, Anthony & Sunde, Uwe & Zegners, Dainis, 2022. "Speed, Quality, and the Optimal Timing of Complex Decisions: Field Evidence," Rationality and Competition Discussion Paper Series 317, CRC TRR 190 Rationality and Competition.
    6. Shen Li & Yuyang Zhang & Zhaolin Ren & Claire Liang & Na Li & Julie A. Shah, 2024. "Enhancing Preference-based Linear Bandits via Human Response Time," Papers 2409.05798, arXiv.org, revised Oct 2024.
    7. Schotter, Andrew & Trevino, Isabel, 2014. "Is response time predictive of choice? An experimental study of threshold strategies," Discussion Papers, Research Unit: Economics of Change SP II 2014-305, WZB Berlin Social Science Center.
    8. Jose Apesteguia & Miguel A Ballester, 2021. "Separating Predicted Randomness from Residual Behavior," Journal of the European Economic Association, European Economic Association, vol. 19(2), pages 1041-1076.
    9. Carlos Alós-Ferrer & Johannes Buckenmaier, 2018. "Cognitive sophistication and deliberation times," ECON - Working Papers 292, Department of Economics - University of Zurich, revised Apr 2019.
    10. Webb, Ryan & Mehta, Nitin & Levy, Ifat, 2021. "Assessing consumer demand with noisy neural measurements," Journal of Econometrics, Elsevier, vol. 222(1), pages 89-106.
    11. Emerson Melo, 2021. "Learning In Random Utility Models Via Online Decision Problems," CAEPR Working Papers 2022-003 Classification-D, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    12. Hirmas, Alejandro & Engelmann, Jan B., 2023. "Impulsiveness moderates the effects of exogenous attention on the sensitivity to gains and losses in risky lotteries," Journal of Economic Psychology, Elsevier, vol. 95(C).
    13. Aleksandr Alekseev, 2018. "Using Response Times to Measure Ability on a Cognitive Task," Working Papers 18-16, Chapman University, Economic Science Institute.
    14. V. I. Yukalov, 2021. "A Resolution of St. Petersburg Paradox," Papers 2111.14635, arXiv.org.
    15. D. Pennesi, 2016. "Intertemporal discrete choice," Working Papers wp1061, Dipartimento Scienze Economiche, Universita' di Bologna.
    16. Carlos Alós-Ferrer & Michele Garagnani, 2019. "Strength of preference and decisions under risk," ECON - Working Papers 330, Department of Economics - University of Zurich, revised Feb 2022.
    17. Mogens Fosgerau & Emerson Melo & André de Palma & Matthew Shum, 2017. "Discrete Choice and Rational Inattention: a General Equivalence Result," Discussion Papers 17-26, University of Copenhagen. Department of Economics.
    18. Michel Wedel & Rik Pieters & Ralf Lans, 2023. "Modeling Eye Movements During Decision Making: A Review," Psychometrika, Springer;The Psychometric Society, vol. 88(2), pages 697-729, June.
    19. D. Pennesi, 2016. "Deciding fast and slow," Working Papers wp1082, Dipartimento Scienze Economiche, Universita' di Bologna.
    20. Yukalov, V.I., 2021. "A resolution of St. Petersburg paradox," Journal of Mathematical Economics, Elsevier, vol. 97(C).
    21. Taro Ohdoko & Satoru Komatsu, 2023. "Integrating a Pareto-Distributed Scale into the Mixed Logit Model: A Mathematical Concept," Mathematics, MDPI, vol. 11(23), pages 1-22, November.
    22. Brocas, Isabelle & Carrillo, Juan D., 2021. "Value computation and modulation: A neuroeconomic theory of self-control as constrained optimization," Journal of Economic Theory, Elsevier, vol. 198(C).
    23. Ryan Webb & Paul W. Glimcher & Kenway Louie, 2021. "The Normalization of Consumer Valuations: Context-Dependent Preferences from Neurobiological Constraints," Management Science, INFORMS, vol. 67(1), pages 93-125, January.
    24. Pirrone, Angelo & Gobet, Fernand, 2021. "Is attentional discounting in value-based decision making magnitude sensitive?," LSE Research Online Documents on Economics 108608, London School of Economics and Political Science, LSE Library.
    25. 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.
    26. Fedor Sandomirskiy & Omer Tamuz, 2023. "Decomposable Stochastic Choice," Papers 2312.04827, arXiv.org, revised May 2024.
    27. Carlo Baldassi & Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Marco Pirazzini, 2020. "A Behavioral Characterization of the Drift Diffusion Model and Its Multialternative Extension for Choice Under Time Pressure," Management Science, INFORMS, vol. 66(11), pages 5075-5093, November.
    28. Chernulich, Aleksei, 2021. "Modelling reference dependence for repeated choices: A horse race between models of normalisation," Journal of Economic Psychology, Elsevier, vol. 87(C).
    29. Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci, 2020. "Multinomial logit processes and preference discovery: outside and inside the black box," Working Papers 663, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.

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 2 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-DCM: Discrete Choice Models (1) 2024-07-15
  2. NEP-ECM: Econometrics (1) 2024-07-15
  3. NEP-ICT: Information and Communication Technologies (1) 2007-12-01
  4. NEP-UPT: Utility Models and Prospect Theory (1) 2024-07-15

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