Jutta Viinikainen

Personality and Labour Market Income: Evidence from Longitudinal Data

This study contributes to the literature on how personality is rewarded in the labour market by examining the relationship between personality and labour market income. Our results suggest that adulthood extraversion is positively associated with income when education, work experience, and unemployment history, measured prospectively from longitudinal data, are controlled for. In addition, childhood constructiveness indicating active and well-controlled behaviour has a positive association with income in adulthood.

Stature and long-term labor market outcomes : Evidence using Mendelian randomization

HIGHLIGHTSTaller people have higher earnings.We use genetic instruments for height.The OLS models show that 10 cm of extra height increases earnings by 13%.The IV point estimate is lower at 9% and not statistically significant. ABSTRACT 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 10 cm 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.

Does higher education protect against obesity? Evidence using Mendelian randomization

OBJECTIVES The aim of this explorative study was to examine the effect of education on obesity using Mendelian randomization. METHODS Participants (N=2011) were from the on-going nationally representative Young Finns Study (YFS) that began in 1980 when six cohorts (aged 30, 33, 36, 39, 42 and 45 in 2007) were recruited. The average value of BMI (kg/m2) measurements in 2007 and 2011 and genetic information were linked to comprehensive register-based information on the years of education in 2007. We first used a linear regression (Ordinary Least Squares, OLS) to estimate the relationship between education and BMI. To identify a causal relationship, we exploited Mendelian randomization and used a genetic score as an instrument for education. The genetic score was based on 74 genetic variants that genome-wide association studies (GWASs) have found to be associated with the years of education. Because the genotypes are randomly assigned at conception, the instrument causes exogenous variation in the years of education and thus enables identification of causal effects. RESULTS The years of education in 2007 were associated with lower BMI in 2007/2011 (regression coefficient (b)=-0.22; 95% Confidence Intervals [CI]=-0.29, -0.14) according to the linear regression results. The results based on Mendelian randomization suggests that there may be a negative causal effect of education on BMI (b=-0.84; 95% CI=-1.77, 0.09). CONCLUSION The findings indicate that education could be a protective factor against obesity in advanced countries.

Gene-environment interactions between education and body mass: Evidence from the UK and Finland

More education is associated with a lower body mass index (BMI) and likelihood of being overweight. However, since a large proportion of the variation in body mass is due to genetic makeup, it has been hypothesized that education may moderate the genetic risk. We estimate main associations between (i) education, (ii) genetic risk, and (iii) interactions between education and genetic risk on BMI and the probability of being overweight in the UK and Finland. The estimates show that education is negatively associated with BMI and overweightness, and genetic risk is positively associated. However, the interactions between education and genetic risk are small and statistically insignificant.

The serum copper/zinc ratio in childhood and educational attainment: a population-based study

Background Micronutrients are potentially important determinants of adult outcomes such as educational attainment. Copper and zinc have known effects on several medical conditions and cognitive development. Elevated copper and depressed zinc is a common trace metal imbalance. Methods We estimate the correlation between the copper/zinc ratio (Cu/Zn) in childhood (year 1980) and educational attainment in adulthood (year 2010). We use the Young Finns Study (YFS) combined with the Finnish Linked Employer-Employee Data (FLEED). The regression models account for confounders such as other biomarkers and parental observables. Results We report a sizeable, negative correlation between Cu/Zn and educational attainment as measured by education in years, grades as well as the likelihood of completing university education. For example, a one standard deviation increase in Cu/Zn decreases the probability of university education by 4%. Conclusions The findings are consistent with a Cu/Zn effect influencing cognitive functioning early in life. Future research should explore more deeply the precise mechanisms by which Cu/Zn affects educational attainment.

Relative age at school entry, school performance and long-term labour market outcomes

This article examines the impact of relative age at school entry on school performance, educational attainment and labour market outcomes later in life. We find that the advantages of maturity at school entry are short-lived with relative age having no impact on the years of formal education, adulthood earnings or employment. Our findings are consistent with the view that assumes modest maturity effects in countries where formal education begins late and there are no ability-differentiated learning groups at initial grades.

The challenges of GxE research: A rejoinder

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Labor market performance of dropouts: the role of personality

Purpose - – The purpose of this paper is to provide evidence on labor market careers of dropouts with various levels of education. Design/methodology/approach - – The paper compares the labor market careers of dropouts and non-dropouts between ages 15 and 50 by using longitudinal data. The paper analyses how the results change when the authors control for differences in personality characteristics. Findings - – The paper finds that dropping out diminishes ones success in the labor market but this connection is reduced when the model is augmented with personality. Dropouts seem to have or lack certain personality characteristics that are associated with labor market success. These findings suggest that dropping out is either an adverse signal of non-cognitive skills and, thus, work performance and productivity, or personality characteristics are related to preferences toward career and work orientation, or both. Originality/value - – The paper analyses how the impact of dropping out on labor market outcomes changes when differences in personality characteristics are taken into account. The broad definition enables us to investigate how dropping out in general is related to labor market success.

Does education protect against depression? Evidence from the Young Finns Study using Mendelian randomization

Using participants (N = 1733) drawn from the nationally representative longitudinal Young Finns Study (YFS) we estimate the effect of education on depressive symptoms. In 2007, when the participants were between 30 and 45 years old, they reported their depressive symptoms using a revised version of Becks Depression Inventory. Education was measured using register information on the highest completed level of education in 2007, which was converted to years of education. To identify a causal relationship between education and depressive symptoms we use an instrumental variables approach (Mendelian randomization, MR) with a genetic risk score as an instrument for years of education. The genetic risk score was based on 74 genetic variants, which were associated with years of education in a genome-wide association study (GWAS). Because the genetic variants are randomly assigned at conception, they induce exogenous variation in years of education and thus identify a causal effect if the assumptions of the MR approach are met. In Ordinary Least Squares (OLS) estimation years of education in 2007 were negatively associated with depressive symptoms in 2007 (b = -0.027, 95% Confidence Interval (CI) = -0.040, -0.015). However, the results based on Mendelian randomization suggested that the effect is not causal (b = 0.017; 95% CI = -0.144, 0.178). This indicates that omitted variables correlated with education and depression may bias the linear regression coefficients and exogenous variation in education caused by differences in genetic make-up does not seem to protect against depressive symptoms.

The effect of weight on labor market outcomes: An application of genetic instrumental variables

Abstract This paper contributes to the literature on the labor market consequences of obesity by using a novel instrument: genetic risk score, which reflects the predisposition to higher body mass index (BMI) across many genetic loci. We estimate instrumental variable models of the effect of BMI on labor market outcomes using Finnish data that have many strengths, for example, BMI that is measured rather than self‐reported, and data on earnings and social income transfers that are from administrative tax records and are thus free of the problems associated with nonresponse, reporting error or top coding. The empirical results are sensitive to whether we use a narrower or broader genetic risk score, and to model specification. For example, models using the narrower genetic risk score as an instrument imply that a one‐unit increase in BMI is associated with 6.9% lower wages, 1.8% fewer years employed, and a 3 percentage point higher probability of receiving any social income transfers. However, when we use a newer, broader genetic risk score, we cannot reject the null hypothesis of no effect. Future research using genetic risk scores should examine the sensitivity of their results to the risk score used.