Abstract
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.
Original language | English |
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Pages (from-to) | 1-18 |
Number of pages | 18 |
Journal | Small Business Economics |
Volume | 35 |
Issue number | 1 |
DOIs | |
Publication status | Published - 13 May 2010 |
Funding
Acknowledgements Comments by Adam Lederer and Jonathan Beauchamp are gratefully acknowledged. For Matthijs van der Loos and Roy Thurik this note has been written in cooperation with the research program SCALES, carried out by EIM and financed by the Dutch Ministry of Economic Affairs.
Keywords
- Entrepreneurship
- Genetics
- Microeconomics