TY - JOUR
T1 - Genome-wide association studies in economics and entrepreneurship research
T2 - Promises and limitations
AU - Koellinger, Philipp D.
AU - van der Loos, Matthijs J.H.M.
AU - Groenen, Patrick J.F.
AU - Thurik, A. Roy
AU - Rivadeneira, Fernando
AU - van Rooij, Frank J.A.
AU - Uitterlinden, A. G.
AU - Hofman, Albert
PY - 2010/5/13
Y1 - 2010/5/13
N2 - 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.
AB - 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.
KW - Entrepreneurship
KW - Genetics
KW - Microeconomics
UR - http://www.scopus.com/inward/record.url?scp=74949144694&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=74949144694&partnerID=8YFLogxK
U2 - 10.1007/s11187-010-9286-3
DO - 10.1007/s11187-010-9286-3
M3 - Article
AN - SCOPUS:74949144694
VL - 35
SP - 1
EP - 18
JO - Small Business Economics
JF - Small Business Economics
SN - 0921-898X
IS - 1
ER -
