Title |
Gain and Loss Learning Differentially Contribute to Life Financial Outcomes
|
---|---|
Published in |
PLOS ONE, September 2011
|
DOI | 10.1371/journal.pone.0024390 |
Pubmed ID | |
Authors |
Brian Knutson, Gregory R. Samanez-Larkin, Camelia M. Kuhnen |
Abstract |
Emerging findings imply that distinct neurobehavioral systems process gains and losses. This study investigated whether individual differences in gain learning and loss learning might contribute to different life financial outcomes (i.e., assets versus debt). In a community sample of healthy adults (nā=ā75), rapid learners had smaller debt-to-asset ratios overall. More specific analyses, however, revealed that those who learned rapidly about gains had more assets, while those who learned rapidly about losses had less debt. These distinct associations remained strong even after controlling for potential cognitive (e.g., intelligence, memory, and risk preferences) and socioeconomic (e.g., age, sex, ethnicity, income, education) confounds. Self-reported measures of assets and debt were additionally validated with credit report data in a subset of subjects. These findings support the notion that different gain and loss learning systems may exert a cumulative influence on distinct life financial outcomes. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Chile | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 5% |
Germany | 2 | 2% |
Switzerland | 1 | <1% |
Singapore | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 94 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 30 | 29% |
Researcher | 20 | 19% |
Student > Master | 11 | 11% |
Student > Bachelor | 7 | 7% |
Professor > Associate Professor | 6 | 6% |
Other | 18 | 17% |
Unknown | 12 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 43 | 41% |
Neuroscience | 13 | 13% |
Economics, Econometrics and Finance | 8 | 8% |
Social Sciences | 7 | 7% |
Agricultural and Biological Sciences | 6 | 6% |
Other | 15 | 14% |
Unknown | 12 | 12% |