We use the Young Finns Study (N=∼2000) on the measured height linked to 
register-based long-term labor market outcomes. The data contain six age cohorts 
(ages 3, 6, 9, 12, 15 and 18, in 1980) with the average age of 31.7, in 2001, 
and with the female share of 54.7. We find that taller people earn higher 
earnings according to the ordinary least squares (OLS) estimation. The OLS 
models show that 10cm of extra height is associated with 13% higher earnings. We 
use Mendelian randomization, with the genetic score as an instrumental variable 
(IV) for height to account for potential confounders that are related to 
socioeconomic background, early life conditions and parental investments, which 
are otherwise very difficult to fully account for when using covariates in 
observational studies. The IV point estimate is much lower and not statistically 
significant, suggesting that the OLS estimation provides an upward biased 
estimate for the height premium. Our results show the potential value of using 
genetic information to gain new insights into the determinants of long-term 
labor market success.