Robustness and ambiguity in continuous time

Lars Peter Hansen, Thomas Sargent

    Research output: Contribution to journalArticle

    Abstract

    We use statistical detection theory in a continuous-time environment to provide a new perspective on calibrating a concern about robustness or an aversion to ambiguity. A decision maker repeatedly confronts uncertainty about state transition dynamics and a prior distribution over unobserved states or parameters. Two continuous-time formulations are counterparts of two discrete-time recursive specifications of Hansen and Sargent (2007) [16]. One formulation shares features of the smooth ambiguity model of Klibanoff et al. (2005) and (2009) [24,25]. Here our statistical detection calculations guide how to adjust contributions to entropy coming from hidden states as we take a continuous-time limit.

    Original languageEnglish (US)
    Pages (from-to)1195-1223
    Number of pages29
    JournalJournal of Economic Theory
    Volume146
    Issue number3
    DOIs
    StatePublished - May 2011

    Fingerprint

    Continuous time
    Robustness
    Decision maker
    Discrete-time
    Transition dynamics
    Entropy
    Uncertainty

    Keywords

    • Ambiguity
    • Entropy
    • Hidden markov model
    • Likelihood function
    • Robustness
    • Smooth ambiguity
    • Statistical detection error

    ASJC Scopus subject areas

    • Economics and Econometrics

    Cite this

    Robustness and ambiguity in continuous time. / Hansen, Lars Peter; Sargent, Thomas.

    In: Journal of Economic Theory, Vol. 146, No. 3, 05.2011, p. 1195-1223.

    Research output: Contribution to journalArticle

    Hansen, Lars Peter ; Sargent, Thomas. / Robustness and ambiguity in continuous time. In: Journal of Economic Theory. 2011 ; Vol. 146, No. 3. pp. 1195-1223.
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