Articles producció científicaEconomia

Brownian Signals: Information Quality

  • Identification data

    Identifier:  imarina:5131420
    Authors:  Osorio, Antonio
    Abstract:
    This paper examines different Brownian information structures over varying time intervals. We focus on the non-limit case, and on the trade-offs between information quality and quantity when making a decision whether to cooperate or defect in a prisoners' dilemma game. In the best-case scenario, the information quality gains are strong enough so that agents can substitute information quantity with information quality. In the second best-case scenario, the information quality gains are weak and must be compensated for with additional information quantity. In this case, information quality improves but not quickly enough to dispense with the use of information quantity. For sufficiently large time intervals, information degrades and monitoring becomes mostly based on information quantity. The results depend crucially on the particular information structure and on the rate at which information quality improves or decays with respect to the discounting incentives.
  • Others:

    Link to the original source: https://link.springer.com/article/10.1007/s10614-017-9685-5
    APA: Osorio, Antonio (2018). Brownian Signals: Information Quality, Quantity and Timing in Repeated Games. Computational Economics, 52(2), 387-404. DOI: 10.1007/s10614-017-9685-5
    Paper original source: Computational Economics. 52 (2): 387-404
    Article's DOI: 10.1007/s10614-017-9685-5
    Journal publication year: 2018
    Entity: Universitat Rovira i Virgili
    Paper version: info:eu-repo/semantics/publishedVersion
    Record's date: 2025-02-08
    URV's Author/s: Osório da Costa, António Miguel
    Department: Economia
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: Journal Publications
    Author, as appears in the article.: Osorio, Antonio
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Thematic Areas: Mathematics, interdisciplinary applications, Matemática / probabilidade e estatística, Management, Interdisciplinar, Engenharias iv, Economics, econometrics and finance (miscellaneous), Economics, Economia, Computer science applications, Ciencias sociales, Ciência da computação, Administração pública e de empresas, ciências contábeis e turismo
    Author's mail: antonio.osoriodacosta@urv.cat
  • Keywords:

    Strategies
    Repeated games
    Information quantity
    Information quality
    Game theory
    Frequent monitoring
    Continuous-time
    Computer Science Applications
    Economics
    Econometrics and Finance (Miscellaneous)
    Management
    Mathematics
    Interdisciplinary Applications
    Matemática / probabilidade e estatística
    Interdisciplinar
    Engenharias iv
    Economia
    Ciencias sociales
    Ciência da computação
    Administração pública e de empresas
    ciências contábeis e turismo
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