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Prediction based on entrepreneurship-prone personality profiles: sometimes worse than the toss of a coin

Authors
  • Konon, Alexander
  • Kritikos, Alexander S.
Type
Published Article
Journal
Small Business Economics
Publisher
Springer US
Publication Date
Nov 10, 2018
Volume
53
Issue
1
Pages
1–20
Identifiers
DOI: 10.1007/s11187-018-0111-8
Source
Springer Nature
Keywords
License
Yellow

Abstract

The human personality predicts a wide range of activities and occupational choices—from musical sophistication to entrepreneurial careers. However, which method should be applied if information on personality traits is used for prediction and advice? In psychological research, group profiles are widely employed. In this contribution, we examine the performance of profiles using the example of career prediction and advice, involving a comparison of average trait scores of successful entrepreneurs with the traits of potential entrepreneurs. Based on a simple theoretical model estimated with GSOEP data and analyzed with Monte Carlo methods, we show, for the first time, that the choice of the comparison method matters substantially. We reveal that under certain conditions the performance of average profiles is inferior to the tossing of a coin. Alternative methods, such as directly estimating success probabilities, deliver better performance and are more robust.

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