As-If Behavioral Economics: Neoclassical Economics in Disguise?

By Nathan Berg, Gerd Gigerenzer. 2010

329 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/446defa3516001b8f7bec164cd6a56a82098b8af

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In General Decision Sciences

Citations in the corpus

From Libertarian Paternalism to Nudging—and Beyond (2015, background): “As some authors have suggested, this might be a consequence of the reliance of nudges on as-if models, and the neglect of underlying mental processes (Berg and Gigerenzer 2010; Grüne-Yanoff et al. 2014).”
Organizational Control Systems and Pay-for-Performance in the Public Service (2013, methodology): “On the other hand, this model takes psychological reality into account to a limited extent (Berg & Gigerenzer, 2010; Tomer, 2007).”
Dual Process Theories in Behavioral Economics and Neuroeconomics: a Critical Review (2019, background): “A recurring criticism in Berg and Gigerenzer (2010) (see also Gigerenzer 2015) against behavioral economics is the failure of researchers to provide genuine out-of-sample predictions.”
Procrastination's Impact in the Workplace and the Workplace's Impact on Procrastination (2013, neutral): “For example, Berg and Gigerenzer (2010) argue that irrational behavior, which would include procrastination, has no established impact, stating that ‘Notably missing is investigation of whether people who deviate from axiomatic rationality face economically significant losses’ (p.”
A Review of Nudges: Definitions, Justifications, Effectiveness (2020, neutral): “2 See Berg and Gigerenzer (2010), Hausman (2012), Rebonato (2012, 2014), Heilmann (2014), Barton and GrüneYanoff (2015), Gigerenzer (2015), Guala andMittone (2015), Le Grand andNew (2015),Whitman and Rizzo (2015), Hausman (2016, 2018), Sugden (2018), Rizzo and Whitman (2019), Scoccia (2019), and Han”
The Bias Bias in Behavioral Economics (2018, positive): “The alternative is to use formal models of heuristics that can be tested; to test these models in prediction, not by data fitting after the fact; and to test multiple models competitively, as opposed to testing a single model against chance (Berg and Gigerenzer, 2010; Gigerenzer et al., 2011).”