Articles producció científicaEconomia

Brownian Signals: Information Quality

  • Datos identificativos

    Identificador:  imarina:5131420
    Autores:  Osorio, Antonio
    Resumen:
    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.
  • Otros:

    Enlace a la fuente original: https://link.springer.com/article/10.1007/s10614-017-9685-5
    Referencia de l'ítem segons les normes 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
    Referencia al articulo segun fuente origial: Computational Economics. 52 (2): 387-404
    DOI del artículo: 10.1007/s10614-017-9685-5
    Año de publicación de la revista: 2018
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Fecha de alta del registro: 2025-02-08
    Autor/es de la URV: Osório da Costa, António Miguel
    Departamento: Economia
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    Autor según el artículo: Osorio, Antonio
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Áreas temáticas: 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
    Direcció de correo del autor: antonio.osoriodacosta@urv.cat
  • Palabras clave:

    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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