164
Views
1
CrossRef citations to date
0
Altmetric
Articles

An economic agent in my brain? A critical analysis of multiple-self models in neuroeconomics

Pages 329-348 | Received 14 Nov 2013, Accepted 18 Dec 2015, Published online: 28 Apr 2016
 

Abstract

Neuroeconomic multiple-self models describe individuals’ choices as the equilibrium of the interaction amongst neural sites modelled as economic agents. This approach aims at explaining some inter-temporal inconsistency problems and the rejection of unfair offers in ultimatum games. However, the experiments on these models do not provide replicable results. The standard view interprets this problem as due to inadequate econometric techniques. Conversely, this paper shows that the non-replicability problem arises from a conundrum of multiple-self models’ (MSMs) theory. It illustrates how the assumption of neuroeconomic agents is deduced from the revealed preferences theory applied to the neuro-level. Therefore, the paper shows how experiments on MSMs cannot test the assumption of neuroeconomic agents but only the empirical hypotheses that derive from it. This entails that the assumption of neuroeconomic agents is a tautology, which might generate hypotheses that do not robustly identify the neural correlates of behaviour.

JEL Classifications:

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 173.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.