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  1. Functionalism and the role of psychology in economics.Christopher Clarke - 2020 - Journal of Economic Methodology 27 (4):292-310.
    Should economics study the psychological basis of agents' choice behaviour? I show how this question is multifaceted and profoundly ambiguous. There is no sharp distinction between "mentalist'' answers to this question and rival "behavioural'' answers. What's more, clarifying this point raises problems for mentalists of the "functionalist'' variety (Dietrich and List, 2016). Firstly, functionalist hypotheses collapse into hypotheses about input--output dispositions, I show, unless one places some unwelcome restrictions on what counts as a cognitive variable. Secondly, functionalist hypotheses make some (...)
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  • Preferences and Positivist Methodology in Economics.Christopher Clarke - 2016 - Philosophy of Science 83 (2):192-212.
    I distinguish several doctrines that economic methodologists have found attractive, all of which have a positivist flavour. One of these is the doctrine that preference assignments in economics are just shorthand descriptions of agents' choice behaviour. Although most of these doctrines are problematic, the latter doctrine about preference assignments is a respectable one, I argue. It doesn't entail any of the problematic doctrines, and indeed it is warranted independently of them.
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  • On the Interpretation of Decision Theory.Samir Okasha - 2016 - Economics and Philosophy 32 (3):409-433.
    Abstract:This paper explores the contrast between mentalistic and behaviouristic interpretations of decision theory. The former regards credences and utilities as psychologically real, while the latter regards them as mere representations of an agent's preferences. Philosophers typically adopt the former interpretation, economists the latter. It is argued that the mentalistic interpretation is preferable if our aim is to use decision theory for descriptive purposes, but if our aim is normative then the behaviouristic interpretation cannot be dispensed with.
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  • Controversies around Neuroeconomics: Empirical, Methodological and Philosophical Issues.Daniel Serra - 2023 - Revue de Philosophie Économique 23 (2):135-193.
    À la fin des années 1990, plusieurs tendances convergentes en économie, psychologie et neuroscience ont préparé le terrain pour la naissance d’un nouveau champ scientifique qualifié de « neuroéconomie ». Comme pour toute discipline émergente – pensons par exemple à l’économie mathématique, l’économétrie ou l’économie expérimentale en d’autres temps – la neuroéconomie est plutôt controversée en économie. Elle soulève un grand nombre de questions d’ordre empirique, méthodologique et philosophiques donnant lieu à des débats et controverses que l’article identifie et discute (...)
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  • Triangulation across the lab, the scanner and the field: the case of social preferences.Jaakko Kuorikoski & Caterina Marchionni - 2016 - European Journal for Philosophy of Science 6 (3):361-376.
    This paper deals with the evidential value of neuroeconomic experiments for the triangulation of economically relevant phenomena. We examine the case of social preferences, which involves bringing together evidence from behavioural experiments, neuroeconomic experiments, and observational studies from other social sciences. We present an account of triangulation and identify the conditions under which neuroeconomic evidence is diverse in the way required for successful triangulation. We also show that the successful triangulation of phenomena does not necessarily afford additional confirmation to general (...)
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  • Evidential Diversity and the Triangulation of Phenomena.Jaakko Kuorikoski & Caterina Marchionni - 2016 - Philosophy of Science 83 (2):227-247.
    The article argues for the epistemic rationale of triangulation, namely, the use of multiple and independent sources of evidence. It claims that triangulation is to be understood as causal reasoning from data to phenomenon, and it rationalizes its epistemic value in terms of controlling for likely errors and biases of particular data-generating procedures. This perspective is employed to address objections against triangulation concerning the fallibility and scope of the inference, as well as problems of independence, incomparability, and discordance of evidence. (...)
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