Models as Speech Acts: The Telling Case of Financial Models
Nicolas Brisset ()
No 2017-25, GREDEG Working Papers from Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France
Abstract:
This paper intends to bring Austinian themes into methodological discussion about models. Using Austinian vocabulary, I argue that models perform actions in and outside of the academic field. This multiplicity of fields induces a variety of felicity conditions and types of performed actions. If for example, an inference from a model is judged according to some epistemological criteria in the scientific field, the representation of the world which the model carries, will not be judged by the same criteria outside the scientific field. A model can be considered as a standard in a strict scientific framework, while not being used as part of public policies, or vice versa. However, we focus on the dynamics between different fields.
Keywords: Economic models; financial models; pragmatics of economic modeling; speech act; performativity (search for similar items in EconPapers)
JEL-codes: B26 B41 (search for similar items in EconPapers)
Pages: 45 pages
Date: 2017-09
New Economics Papers: this item is included in nep-hme
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Forthcoming in Journal of Economic Methodology
Downloads: (external link)
http://195.220.190.85/GREDEG-WP-2017-25.pdf First version (application/pdf)
Related works:
Journal Article: Models as speech acts: the telling case of financial models (2018) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gre:wpaper:2017-25
Access Statistics for this paper
More papers in GREDEG Working Papers from Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France Contact information at EDIRC.
Bibliographic data for series maintained by Patrice Bougette ().