Emma Lundholm

Neoliberalization of housing in Sweden: gentrification, filtering and social polarization

During the last twenty-five years, housing policy in Sweden has radically changed. Once forming a pillar of the comprehensive welfare system, abbreviated the “Swedish model,” neoliberal housing politics have established market-governed housing provision with a minimum of state engagement. This shift has had consequences on the social geography of housing conditions. The research reported here analyzes social geographic change in Swedens three largest cities—Stockholm, Gothenburg, and Malmö—between 1986 and 2001, relating observed patterns of gentrification and filtering to cycles of accumulation and to neoliberalization of housing policies. First, we outline the neoliberalization of Swedish housing policies. We then present an empirical analysis of gentrification and filtering in the three cities, spanning two boom periods (1986–1991, 1996–2001) and a bust period (1991–1996). The data reveal social geographic polarization manifested in the growth of supergentrification and low-income filtering. The analysis also introduces the concept of ordinary gentrification, supporting the move in gentrification research toward a broad generic conception of the process. Political reforms after 2001 are summarized and we argue that these underlie the continued increase in inequality and that the social geographic polarization mapped between 1986 and 2001 has probably intensified during this decade.

Return to where? The geography of elderly return migration in Sweden

There are considerable regional differences when it comes to age composition, as rural areas are ageing more rapidly as a result of age-selective migration. Eras of urbanization and counter-urbanization are also making their mark on migration patterns from a long-term perspective. The current generation approaching retirement age in Sweden is a generation of urbanization, thereby constituting a potential for return migration, especially to some rural regions many people of this generation left decades ago. The aim of this paper is to compare rates of return migration in municipalities in Sweden in order to identify regions where return migration is particularly important, and also to identify which regions are the most attractive for return migration. The empirical study is based on Swedish register data, and the results indicate that the rate of return migration varies considerably between regions; some are more attractive for return migration, yet return migrants might be most significant in the regions that attract few other migrants. Another conclusion is that the regions that lost a greater share of this generation on account of previous migration often fail to attract return migrants.

Migration and Regional Differences in Access to Local Family Networks Among 60-year olds in Sweden

Regional variations in access to local family networks has implications for future care burdens in different regions as well as the living conditions for both older and younger generations. The geographical distance between family members is a long-term consequence of accumulated migration and non-migration undertaken by the individual as well as other family members. This study contributes to this subject through offering a description of regional disparities in the access to local family networks among 60-year olds in Sweden. Additionally, this paper aims to analyse this pattern as an outcome of long-distance migration processes. The empirical study is based on Swedish register data, with a focus on 60-year olds in Sweden, linking them to their adult children, siblings and parents as well as in-laws. The dataset includes total population, where it is possible to identify family networks in their geographical context on various geographic scales, down to a neighbourhood level. As expected, results indicate that families in metropolitan areas are the most concentrated geographically while the left behind parent, embedded in a local network in their own and older generation, is a small category in urban areas but quite common in some rural municipalities. It is also shown that access to local family networks not only varies on a broad rural–urban scale but also locally, between neighbourhoods within metropolitan areas.

Causal Effects of the Timing of Life-course Events Age at Retirement and Subsequent Health

In this article, we combine the extensive literature on the analysis of life-course trajectories as sequences with the literature on causal inference and propose a new matching approach to investigate the causal effect of the timing of life-course events on subsequent outcomes. Our matching approach takes into account pre-event confounders that are both time-independent and time-dependent as well as life-course trajectories. After matching, treated and control individuals can be compared using standard statistical tests or regression models. We apply our approach to the study of the consequences of the age at retirement on subsequent health outcomes, using a unique data set from Swedish administrative registers. Once selectivity in the timing of retirement is taken into account, effects on hospitalization are small, while early retirement has negative effects on survival. Our approach also allows for heterogeneous treatment effects. We show that the effects of early retirement differ according to preretirement income, with higher income individuals tending to benefit from early retirement, while the opposite is true for individuals with lower income.

Is spatial mobility on the rise or in decline? An order-specific analysis of the migration of young adults in Sweden

The aim of this study is to investigate spatial mobility over time. Research on ‘new mobilities’ suggests increasing movement of individuals, technology, and information. By contrast, studies of internal migration report declining spatial mobility in recent decades. Using longitudinal register data from Sweden, we calculate annual order-specific migration rates to investigate the spatial mobility of young adults over the last three decades. We standardize mobility rates for educational enrolment, educational level, family status, and place of residence to determine how much changes in individuals’ life domains explain changes in mobility. Young adults’ migration rates increased significantly in the 1990s; although all order-specific migration rates increased, first migration rates increased the most. Changes in population composition, particularly increased enrolment in higher education, accounted for much of the elevated spatial mobility in the 1990s. The analysis supports neither ever increasing mobility nor a long-term rise in rootedness among young adults in Sweden.