• search hit 14 of 171
Back to Result List

Gender differences in investment reactions to irrelevant information

  • Economic agents often irrationally base their decision-making on irrelevant information. This research analyzes whether men and women react to futile information about past outcomes. For this purpose, we run a laboratory experiment (Study 1) and use field data (Study 2). In both studies, the behavior of men is consistent with falsely assumed negative autocorrelation, often referred to as gambler’s fallacy Women’s behavior aligns with falsely assumed positive autocorrelation, a notion of the hot hand fallacy. On the aggregate, the two fallacies cancel out. Even when individuals are, on average, rational, the biases in the decision-making of subgroups might cause inefficient outcomes. In a mediation analysis, we find that a) the agents stated perceived probabilities of future outcomes are not blurred by irrelevant information and b) about 40 % of the observed biases are driven by differences in the perceived attractiveness of available choices caused by the irrelevant information.

Download full text files

  • cepa67.pdfeng
    (771KB)

    SHA-512:c438e2cf8fcee8521ff552435e91931f38da0ee8ba6da4152e811dc165b714695581b4df45b12219fd2e8d22876c65ec21385e18765dd938acd603962a5f588a

Export metadata

Additional Services

Search Google Scholar Statistics
Metadaten
Author details:Maximilian Späth, Daniel Goller
URN:urn:nbn:de:kobv:517-opus4-606351
DOI:https://doi.org/10.25932/publishup-60635
ISSN:2628-653X
Title of parent work (English):CEPA Discussion Papers
Publication series (Volume number):CEPA Discussion Papers (67)
Publication type:Working Paper
Language:English
Date of first publication:2023/09/19
Publication year:2023
Publishing institution:Universität Potsdam
Release date:2023/09/19
Tag:gambler’s fallac; gender; hot hand fallacy; irrelevant information
Issue:67
Number of pages:25, 4
RVK - Regensburg classification:QC 010, QC 020
Organizational units:Zentrale und wissenschaftliche Einrichtungen / Center for Economic Policy Analysis (CEPA)
Wirtschafts- und Sozialwissenschaftliche Fakultät / Wirtschaftswissenschaften / Fachgruppe Volkswirtschaftslehre
DDC classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
JEL classification:C Mathematical and Quantitative Methods / C9 Design of Experiments / C91 Laboratory, Individual Behavior
D Microeconomics / D8 Information, Knowledge, and Uncertainty / D81 Criteria for Decision-Making under Risk and Uncertainty
J Labor and Demographic Economics / J1 Demographic Economics / J16 Economics of Gender; Non-labor Discrimination
Peer review:Nicht referiert
License (German):License LogoKeine öffentliche Lizenz: Unter Urheberrechtsschutz
Accept ✔
This website uses technically necessary session cookies. By continuing to use the website, you agree to this. You can find our privacy policy here.