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Human Capital Accumulation and the Evolution of Overconfidence
- Source :
- Games, Vol 11, Iss 46, p 46 (2020), Games, vol. 11, Games, Volume 11, Issue 4
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- This paper studies the evolution of overconfidence over a cohort&rsquo<br />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&rsquo<br />s working life. In the absence of skill depreciation, overconfidence monotonically increases over the cohort&rsquo<br />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.
- Subjects :
- Statistics and Probability
Field data
J24
Distribution (economics)
Human capital
lcsh:Technology
lcsh:Social Sciences
0502 economics and business
Overconfidence
Subjective assessments
ddc:330
D91
Econometrics
Economics
human capital
subjective assessments
050207 economics
overconfidence
D31
Working life
050208 finance
business.industry
lcsh:T
Applied Mathematics
Depreciation
05 social sciences
Financial market
Finite horizon
lcsh:H
Statistics, Probability and Uncertainty
business
Overconfidence effect
Subjects
Details
- Language :
- English
- ISSN :
- 20734336
- Volume :
- 11
- Issue :
- 46
- Database :
- OpenAIRE
- Journal :
- Games
- Accession number :
- edsair.doi.dedup.....73da3d8d97c9dec8393ddbd29c23d668