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The Consequences of Narrow Framing for Risk-Taking: A Stress Test of Myopic Loss Aversion

Authors: Schwaiger, Rene; Strucks, Markus; Zeisberger, Stefan;

The Consequences of Narrow Framing for Risk-Taking: A Stress Test of Myopic Loss Aversion

Abstract

Narrow bracketing in combination with loss aversion has been shown to reduce individual risk taking. This is known as myopic loss aversion (MLA) and has been corroborated by many studies. Recent evidence has contested this notion, indicating that MLA’s applicability is confined to highly artificial settings. Given the impact of these findings, we reevaluated the evidence on MLA with substantially higher statistical power than in almost all previous studies. We systematically modified the seminal study design by Gneezy and Potters [Gneezy U, Potters J (1997) An experiment on risk taking and evaluation periods. Quart. J. Econom. 112(2):631–645] to include five key adjustments. These involved downscaled returns, return compounding, and extended investment horizons. Our results, which are highly robust to analytical heterogeneity, consistently document the presence of MLA across all experimental conditions. This paper was accepted by John Beshears, behavioral economics and decision analysis. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2024.05720 .

Countries
Netherlands, Switzerland, Netherlands
Keywords

replication, ddc:330, G02, risk-taking, myopic loss aversion, 10003 Department of Finance, meta science, 330 Economics, D81, D14, G11, narrow framing, Institute for Management Research

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green