Making Decisions Under Model Misspecification.

We use decision theory to confront uncertainty that is sufficiently broad to incorporate "models as approximations." We presume the existence of a featured collection of what we call "structured models" that have explicit substantive motivations. The decision-maker confronts uncertainty through the...

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Publicado en:	Review of Economic Studies Vol. 93; no. 2; pp. 892 - 926
Autores principales:	Cerreia-Vioglio, Simone, Hansen, Lars Peter, Maccheroni, Fabio, Marinacci, Massimo
Formato:	Artículo
Publicado:	Oxford University Press / USA Mar2026
Materias:	Decision theory Approximation error Bayesian analysis Scientific models Robust optimization Uncertainty (Information theory)
Acceso en línea:	Ver este registro en EBSCOhost