Artikel
Human capital accumulation and the evolution of overconfidence
This paper studies the evolution of overconfidence over a cohort's working life. To do this, the paper incorporates subjective assessments into a continuous time human capital accumulation model with a finite horizon. The main finding is that the processes of human capital accumulation, skill depreciation, and subjective assessments imply that overconfidence first increases and then decreases over the cohort's working life. In the absence of skill depreciation, overconfidence monotonically increases over the cohort's working life. The model generates four additional testable predictions. First, everything else equal, overconfidence peaks earlier in activities where skill depreciation is higher. Second, overconfidence is lower in activities where the distribution of income is more dispersed. Third, for a minority of individuals, overconfidence decreases over their working life. Fourth, overconfidence is lower with a higher market discount rate. The paper provides two applications of the model. It shows the model can help make sense of field data on overconfidence, experience, and trading activity in financial markets. The model can also explain experimental data on the evolution of overconfidence among poker and chess players.
- Sprache
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Englisch
- Erschienen in
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Journal: Games ; ISSN: 2073-4336 ; Volume: 11 ; Year: 2020 ; Issue: 4 ; Pages: 1-19 ; Basel: MDPI
- Klassifikation
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Wirtschaft
Personal Income, Wealth, and Their Distributions
Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making‡
Human Capital; Skills; Occupational Choice; Labor Productivity
- Thema
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human capital
overconfidence
subjective assessments
- Ereignis
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Geistige Schöpfung
- (wer)
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Santos-Pinto, Luis
- Ereignis
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Veröffentlichung
- (wer)
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MDPI
- (wo)
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Basel
- (wann)
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2020
- DOI
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doi:10.3390/g11040046
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:44 MEZ
Datenpartner
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Objekttyp
- Artikel
Beteiligte
- Santos-Pinto, Luis
- MDPI
Entstanden
- 2020