Genome-wide association studies in economics and entrepreneurship research: Promises and limitations

Philipp D. Koellinger; Matthijs J.H.M. van der Loos; Patrick J.F. Groenen; A. Roy Thurik; Fernando Rivadeneira; Frank J.A. van Rooij; A. G. Uitterlinden; Albert Hofman

doi:10.1007/s11187-010-9286-3

Genome-wide association studies in economics and entrepreneurship research: Promises and limitations

Philipp D. Koellinger
, Matthijs J.H.M. van der Loos
, Patrick J.F. Groenen
, A. Roy Thurik
, Fernando Rivadeneira
, Frank J.A. van Rooij
, A. G. Uitterlinden
, Albert Hofman

Research output: Contribution to Journal › Article › Academic › peer-review

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
Pages (from-to)	1-18
Number of pages	18
Journal	Small Business Economics
Volume	35
Issue number	1
DOIs	https://doi.org/10.1007/s11187-010-9286-3
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.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth

Keywords

Entrepreneurship
Genetics
Microeconomics

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10.1007/s11187-010-9286-3

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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.",

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AU - Thurik, A. Roy

AU - Rivadeneira, Fernando

AU - van Rooij, Frank J.A.

AU - Uitterlinden, A. G.

AU - Hofman, Albert

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Genome-wide association studies in economics and entrepreneurship research: Promises and limitations

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UN SDGs

Keywords

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