Genome-wide association studies in economics and entrepreneurship research: promises and limitations
January 2010
Article
volume 35, issue 1 pp 1-18.
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The recently developed genome-wide association study (GWAS) design enables the identification of genes specifically associated with economic outcomes such as occupational and other choices. This is a promising new approach for economics research which we aim to apply to the choice for entrepreneurship. However, due to multiple testing issues, very large sample sizes are needed to differentiate between true and false positives. For a GWAS on entrepreneurship, we expect that a sample size of at least 30,000 observations is required.
Keywords
Classifications using
Journal of Economic Literature (JEL) Classification System
- J24 : Human Capital; Skills; Occupational Choice; Labor Productivity
- C10 : Econometric and Statistical Methods: General
- J26 : Retirement; Retirement Policies
- B40 : Economic Methodology: General
Automatically Extracted Terms
- study
- sample
- association
- entrepreneurship
- odds ratios
- outcome
- ratio
- effect
- behavior
- allele
- genetic
- genome-wide
- odds ratio
- sample sizes
- sample size
- economic
- table
- significance
- journal
- example
