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Cited by 607

The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.

Impatience and Uncertainty: Experimental Decisions Predict Adolescents' Field Behavior

Sutter, Matthias, Kocher, Martin G, Glätzle-Rützler, Daniela, Trautmann, Stefan T·2013·American Economic Review
DOI 10.1257/aer.103.1.510
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Abstract

We study risk attitudes, ambiguity attitudes, and time preferences of 661 children and adolescents, aged ten to eighteen years, in an incentivized experiment and relate experimental choices to field behavior. Experimental measures of impatience are found to be significant predictors of health-related field behavior, saving decisions, and conduct at school. In particular, more impatient children and adolescents are more likely to spend money on alcohol and cigarettes, have a higher body mass index, are less likely to save money, and show worse conduct at school. Experimental measures for risk and ambiguity attitudes are only weak predictors of field behavior.

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Metadata

Authors
Sutter, M., Kocher, M. G., Glätzle-Rützler, D., & Trautmann, S. T.
Venue
American Economic Review
Publisher
American Economic Association
Published
2013-02-01
Volume
103
Issue
1
Pages
510-531
ISSN
0002-8282 (ISSN-L)
DOI
10.1257/aer.103.1.510
OpenAlex
W3121795415
Cited by
607
References
102
FWCI
30.38
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Impatience and Uncertainty: Experimental Decisions Predict Adolescents' Field Behavior. https://app.cochat.ai/papers/10.1257/aer.103.1.510
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Sutter, M., Kocher, M. G., Glätzle-Rützler, D., & Trautmann, S. T. (2013). Impatience and Uncertainty: Experimental Decisions Predict Adolescents' Field Behavior. American Economic Review. https://doi.org/10.1257/aer.103.1.510

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.