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Early voting procedures boost voter participation and have therefore been suggested as institutional remedies for the problem of unequal turnout. Scholars have, however, raised concerns that making voting more convenient may actually lead to a less representative electorate. We contribute to this debate by leveraging large-scale Swedish registry data to analyze persons expecting a child around the time of the election. Our results indicate that politically engaged high-status voters are more likely to use the opportunity to vote in advance when faced with the risk of not being able to vote on election day. Given the large number of obstacles to election-day voting that individuals face throughout life, it is therefore conceivable that efforts to make voting more convenient and less costly for citizens may in the end lead to less representative electorates.

We estimate the effect of genetic variants that are associated with differences in cognitive and non -cognitive skills on labor market and education outcomes by linking genetic data from individuals in the Swedish Twin Registry to government registry data. Genes are fixed over the life cycle and genetic differences between full siblings are random, making it possible to establish the causal effects of within -family genetic variation. We show that polygenic indices associated with cognitive skills and personality traits significantly affect income, occupation, and educational attainment. By comparing estimates that use only within -family variation to OLS estimates with and without socioeconomic controls, our results also provide indications of the degree of (residual) confounding, which can be useful for research conducted in datasets that do not contain sibling pairs. Overall, our results indicate that education and labor market outcomes are partially the result of a genetic lottery.

A core part of political research is to identify how political preferences are shaped. The nature of these questions is such that robust causal identification is often difficult to achieve, and we are not seldom stuck with observational methods that we know have limited causal validity. The purpose of this paper is to measure the magnitude of bias stemming from both measurable and unmeasurable confounders across three broad domains of individual determinants of political preferences: socio-economic factors, moral values, and psychological constructs. We leverage a unique combination of rich Swedish registry data for a large sample of identical twins, with a comprehensive battery of 34 political preference measures, and build a meta-analytical model comparing our most conservative observational (naive) estimates with discordant twin estimates. This allows us to infer the amount of bias from unobserved genetic and shared environmental factors that remains in the naive models for our predictors, while avoiding precision issues common in family-based designs. The results are sobering: in most cases, substantial bias remains in naive models. A rough heuristic is that about half of the effect size even in conservative observational estimates is composed of confounding.

Previous studies have stressed the role of a child's family environment for future political participation. This field of research has, however, overlooked that children within the same family have different experiences depending on their birth order. First-borns spend their first years of life without having to compete over their parents' attention and resources, while their younger siblings are born into potential rivalry. We examine differences in turnout depending on birth order, using unique population-wide individual level register data from Sweden and Norway that enables precise within-family estimates. We consistently find that higher birth order entails lower turnout, and that the turnout differential with respect to birth order is stronger when turnout is lower. The link between birth order and turnout holds when we use data from four other, non-Nordic countries. This birth order effect appears to be partly mediated by socio-economic position and attitudinal predispositions.

What is the effect of residing in ethnic enclaves on immigrants’ future political participation? We study a comprehensive refugee placement reform that was implemented in Sweden in the mid-1980s in combination with unique individual-level turnout data to study the causal effect of being settled in neighborhoods with a high residential concentration of coethnics on immigrants’ future probability of voting. We find little evidence that ethnic concentration per se affects voter turnout. On average, newly arrived immigrants were equally likely to vote whether they were placed in a neighborhood with many or few coethnics. Further analyses, however, indicate that the effect of ethnic concentration depends on the degree of political integration among previously settled coethnics; ethnic concentration increases turnout among the newly immigrated when they are placed with already politically integrated coethnics. These results underscore the conditions under which the political socialization of immigrant newcomers is enhanced in ethnic enclaves.

This study leverages population registry data from Sweden to examine whether immigrants who live in areas with a high concentration of ethnic minorities are more or less likely to be nominated for political office. It exploits a refugee placement program in place in Sweden during the late 1980s and early 1990s that restricted refugees' opportunities to freely choose their place of residence. The article presents evidence that immigrants who live in areas with a high ethnic density are less likely to be nominated for political office. The findings have important implications for local integration policies as well as refugee placement policies, as many countries consider local context when resettling refugees.

We use population-wide Swedish data with information on adopted children’s biological and adoptive parents to assess the importance of prebirth factors (measured by biological parents’ voting) and postbirth socialization factors (as captured by adoptive parents’ voting) for generating intergenerational associations in voter turnout. We find that both prebirth and postbirth factors explain the parent-child similarity in turnout behavior. More importantly, we show that the conditions that strengthen the social pathways to intergenerational transmission—such as youth and exposure to consistent parental behavior—at the same time weaken the biological mechanisms and vice versa. Follow-up analyses based on US and UK samples suggest that these results are externally valid. Our findings are important for understanding how political inequality is reproduced across generations.

The absence of a gendered analysis of the effect of marriage on voting is surprising given researchers’ cognizance of the heterogeneous effects of marriage on a range of other social outcomes. In this paper, we shed new light on spousal dependency by studying the gendered effect of marital disruption, in the form of divorce, on voter turnout. First, drawing on Swedish populationwide data, we use the differential timing of divorces in relation to general elections to generate more credible estimates of the causal effect of divorce on turnout. Second, although we find that both sexes are adversely affected by divorce, we show that the effect is much more pronounced for men. Specifically, the long-term effect is almost twice as large for men. Finally, we use these data to show that the gendered effect of divorce is mainly driven by asymmetrical spousal mobilization due to higher levels of turnout among women.

It is a well-established fact, from decades of research on political socialization, that the children of politically active parents are more likely to become politically active themselves. This poses a challenge for democracy, as it means that inequalities in political influence are reproduced across generations. The present study argues that this problem may be more severe than has hitherto been acknowledged. The reason for this is that previous research on the topic has focused almost exclusively on political transmission between parents and their children, whereas the role played by more distant forebears, such as grandparents, has been largely neglected. In this study, we use Swedish register data to analyze multigenerational associations in electoral participation. The empirical results clearly indicate that the traditional two-generation approach to the study of political transmission tends to underestimate intergenerational persistence in voting behavior and that this excess persistence has both genetic and social roots.

Estimates from genome-wide association studies (GWAS) of unrelated individuals capture effects of inherited variation (direct effects), demography (population stratification, assortative mating) and relatives (indirect genetic effects). Family-based GWAS designs can control for demographic and indirect genetic effects, but large-scale family datasets have been lacking. We combined data from 178,086 siblings from 19 cohorts to generate population (between-family) and within-sibship (within-family) GWAS estimates for 25 phenotypes. Within-sibship GWAS estimates were smaller than population estimates for height, educational attainment, age at first birth, number of children, cognitive ability, depressive symptoms and smoking. Some differences were observed in downstream SNP heritability, genetic correlations and Mendelian randomization analyses. For example, the within-sibship genetic correlation between educational attainment and body mass index attenuated towards zero. In contrast, analyses of most molecular phenotypes (for example, low-density lipoprotein-cholesterol) were generally consistent. We also found within-sibship evidence of polygenic adaptation on taller height. Here, we illustrate the importance of family-based GWAS data for phenotypes influenced by demographic and indirect genetic effects. Within-sibship genome-wide association analyses using data from 178,076 siblings illustrate differences between population-based and within-sibship GWAS estimates for phenotypes influenced by demographic and indirect genetic effects.