Much research has highlighted the significance of neighborhood effects on individual-level choices and outcomes. But it has proven difficult to disentangle the influence of those that an individual shares a residential space with from that of other peers, such as work colleagues and family members. Neighbors, work colleagues, and family members constitute different sources of information. The decision to accept or refuse a vaccine is intensely personal and involves the processing of information about phenomena likely to be unfamiliar to most individuals. To examine the information effect of different peer groups we use microlevel data on COVID-19 vaccination in Sweden. We investigate the extent to which an individual's decision not to get vaccinated is influenced by the presence of other unvaccinated individuals in their household, workplace, or residential neighborhood. Our findings reveal that workplace peers tend to be most strongly connected to the decision not to get vaccinated. We also find that the role of neighborhood peers tends to be overestimated when we do not control for peers at home and at work.

The Swedish COVID-19 strategy aimed to protect vulnerable groups through targeted measures, categorizing individuals aged 70 and above as high-risk. This study examines the impact of such group-based risk assessments on subjective health and virus-related concerns among older adults.We analyzed survey data from the SOM Institute for 68- to 71-year-olds in 2019 (N = 684) and 2020 (N = 726). Using ordered logit regression, we compared perceived health and virus-related concerns between individuals just below (68–69 years) and just above (70–71 years) the high-risk age threshold, controlling for demographic factors.In 2020, 70-year-olds reported significantly lower perceived health compared to their 69-year-old peers, a difference not observed in 2019. Furthermore, 70-year-olds exhibited significantly higher virus-related concerns than their slightly younger counterparts. These patterns persisted when expanding the analysis to include individuals aged 68 and 71.ConclusionOur findings suggest that the Swedish COVID-19 strategy, while aimed at protecting individuals aged 70 and over, may have inadvertently increased perceived vulnerability and health concerns within this group. Conversely, those just below the high-risk age threshold reported better health and lower virus-related concerns, highlighting potential unintended psychological consequences of age-based risk communication.

This paper investigates neighbourhood characteristics related to an individual’s likelihood of getting the first COVID-19 vaccination and implementing official recommendations for the three-shot vaccination regime. We use full population-geocoded microdata for Sweden to measure important individual-level attributes and the marginalisation of their residential communities in terms of ethnicity, education and income. The findings show that the likelihood of getting vaccinated and obtaining all three recommended vaccine doses decrease for individuals residing in neighbourhoods with larger shares of marginalised residents. The effects also appear to be more pronounced if the individual themself belongs to a marginalised group.

The COVID-19 pandemic has highlighted a debate about whether marginalized communities suffered the disproportionate brunt of the pandemic's mortality. Empirical studies addressing this question typically suffer from statistical uncertainties and potential biases associated with uneven and incomplete reporting. We use geo-coded micro-level data for the entire population of Sweden to analyze how local neighborhood characteristics affect the likelihood of dying with COVID-19 at individual level, given the individual's overall risk of death. We control for several individual and regional characteristics to compare the results in specific communities to overall death patterns in Sweden during 2020. When accounting for the probability to die of any cause, we find that individuals residing in socioeconomically disadvantaged neighborhoods were not more likely to die with COVID-19 than individuals residing elsewhere. Importantly, we do find that individuals show a generally higher probability of death in these neighborhoods. Nevertheless, ethnicity is an important explanatory factor for COVID-19 deaths for foreign-born individuals, especially from East Africa, who are more likely to pass away regardless of residential neighborhood.

In this paper we examine the relationships between subjective well-being, age, and geography before (2019) and during (2020) the COVID-19 pandemic. Utilizing survey data, subjective well-being is examined through measures on i) perceived life satisfaction, and ii) self-reported health status. Given that elderly individuals, aged 70 and above, were at greater risk of becoming seriously ill from the virus, we conduct further analyses with a special focus on this group of individuals. Our analyses show that older individuals have higher life satisfaction than other age groups - both before the pandemic and during the pandemic. On the other hand, older individuals report worse health conditions, and the difference in self-reported health status between elderly and younger people is even greater during the pandemic. In terms of geography, we find that elderly people living in larger cities have significantly lower levels of life satisfaction than those living in small agglomerations or rural areas - but report significantly higher health status - especially during the pandemic.

Urban 'third places' foster informal interactions and face-to-face contact that is critical to the development of new innovations and start-up businesses. Our research utilises extensive microdata in combination with telephone interviews with over 200 start-up companies in Stockholm, Sweden. Our findings indicate that access to third places has a significant impact on the number of new high-tech start-ups (both by entrepreneur place of residence and work) in their vicinity. This suggests that third places play a demonstrable role in innovation and economic growth.

We investigate whether an individual's information milieu-an individual's residential neighborhood and co-workers-affects the decision to get a COVID-19 vaccine. The decision to accept or refuse a vaccine is intensely personal and involves the processing of information about phenomena likely to be unfamiliar to most individuals. One can thus expect an interplay between an individual's level of education and skills and the information processing of others whom with whom she can interact and whose decision she can probe and observe. Using individual-level data for adults in Sweden, we can identify the proportion of an individual's neighborhood and workplace who are unvaccinated as indicators of possible peer effects. We find that individuals with low levels of educational attainment and occupational skills are more likely to be unvaccinated when exposed to other unvaccinated individuals at work and in the residential neighborhood. The peer effects in each of these information milieus further increases the likelihood of not getting vaccinated-with the two acting as information channels that reinforce one another.

Rural-urban migration theory suggests that one gains economically by moving from a rural to an urban area. The popular juxtaposing notion is: "If you stay, you lose." But given the rapid increase in housing costs in bigger cities, are losses from staying in rural areas still necessarily the rule? If so, how big is the economic loss for those who stay in rural regions? Using Swedish micro data, we focus on the income effects of rural-urban migration among young individuals. We find that staying in a rural region is negatively related to an individual's income levels, but the loss is mostly insignificant. After controlling for housing costs, it is even beneficial for many people to stay in their rural areas, except for the most highly educated individuals who can benefit by moving to an urban area.

Power couples, defined as pairs of highly educated partners, tend to cluster in cities to take advantage of more developed labor markets, better jobs, and higher wages. This research examines to what extent being a partner in a power couple brings additional wage income benefits. We examine what the effects of power couple partnering is on wage income. Furthermore, we examine how the results are affected by gender and place of residence. To determine this, the research uses detailed Swedish micro data on power couples 23-39 years of age over the period 2007-2016. Our analysis finds positive and significant results from being in a power couple on wage income after controlling for individual, workplace, and geographical characteristics. This is the case for both men and women in power couple households without children, but for women only when children are present. For power couples in denser urban areas, we find a positive effect for men in power couples with or without children. We suggest this effect is due to a more equal "balance of power" between partners in highly educated power couples located in bigger cities, where norms and values may favor a relatively greater sharing of household duties between men and women, and where men face a different competitive situation in the labor market.

This paper examines the geographic factors that are associated with the spread of COVID-19 during the first wave in Sweden. We focus particularly on the role of place-based factors versus factors associated with the spread or diffusion of COVID-19 across places. Sweden is a useful case study to examine the interplay of these factors because it did not impose mandatory lockdowns and because there were essentially no regional differences in the pandemic policies or strategies during the first wave of COVID-19. We examine the role of place-based factors like density, age structures and different socioeconomic factors on the geographic variation of COVID-19 cases and on deaths, across both municipalities and neighborhoods. Our findings show that factors associated with diffusion matter more than place-based factors in the geographic incidence of COVID-19 in Sweden. The most significant factor of all is proximity to places with higher levels of infections. COVID-19 is also higher in places that were hit earliest in the outbreak. Of place-based factors, the geographic variation in COVID-19 is most significantly related to the presence of high-risk nursing homes, and only modestly associated with factors like density, population size, income and other socioeconomic characteristics of places.