Multiscale Measures of Population: Within- and between-City Variation in Exposure to the Sociospatial Context

Petrović, Ana; Ham, Maarten van; Manley, David

doi:10.1080/24694452.2017.1411245

Cited by 55 publications

(71 citation statements)

References 76 publications

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“…The census tract is the most widely used approximation of residential neighborhoods in American scholarship (see Sampson 2002) and is consistent with prior studies linking residential area characteristics to the individual survey responses of NLSY participants (Vogel and South 2016). Of course, administrative boundaries do not perfectly map on to resident perceptions of their "neighborhood" (e.g., Basta et al 2010) and the level at which neighborhood characteristics are measured can have non-trivial consequences for the observed association between neighborhood features and the outcomes of interest (e.g., Hipp 2007;Petrovic et al 2018;Vogel 2016). Second, data collection for the NLSY 97 began approximately 20 years ago.…”

Section: Discussionsupporting

confidence: 73%

The Consequences of Spatial Inequality for Adolescent Residential Mobility

Vogel

Zwiers

2018

Social Sciences

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A large body of literature suggests that neighborhood socioeconomic disadvantage is positively associated with out-mobility. However, prior research has been limited by (1) the inability to account for endogenous factors that both funnel families into deprived neighborhoods and increase their likelihood of moving out, and (2) the failure to consider how the spatial distribution of socioeconomic deprivation in the broader community conditions the effect of local deprivation on mobility. This paper attends to this gap in the literature by examining how changes in socioeconomic disadvantage between sending and receiving neighborhoods and the spatial patterning of deprivation in the areas surrounding destination neighborhoods influence future mobility among a representative sample of American adolescents. We employ a modeling strategy that allows us to examine the unique and separable effects of local and extralocal neighborhood disadvantage while simultaneously holding constant time-invariant factors that place some youth at a greater likelihood of experiencing a residential move. We find that moves to more impoverished neighborhoods decrease the likelihood of subsequent mobility and that this effect is most pronounced among respondents who move to neighborhoods surrounded by other similarly deprived neighborhoods. In this sense, geographical pockets of disadvantage strengthen the mobility-hampering effect of neighborhood deprivation on future mobility.

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Section: Discussionsupporting

confidence: 73%

The Consequences of Spatial Inequality for Adolescent Residential Mobility

Vogel

Zwiers

2018

Social Sciences

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“…Although the usage of administrative areas in neighbourhood effect studies has been critiqued [51], we argue that SAMS areas capture the physical structure of the surrounding environment sufficiently well, and are often used in similar research and maintaining this approach allows our results to be comparable. More importantly, bespoke neighbourhoods (see [24]) are inappropriate here because we need fixed neighbourhood boundaries to be able to construct a control group (the contextual sibling pairs, described later). Our neighbourhood variable of interest is the share of low income individuals in each neighbourhood.…”

Section: Methodsmentioning

confidence: 99%

“…Most of these studies find evidence of neighbourhood effects (there are however also examples of studies finding no effects at all; see [19, 20, 21]). Studies have also found neighbourhood effects to vary by individual characteristics [22, 23], spatial scale [24, 25] and length of exposure to certain neighbourhood types [23, 26, 27].…”

Section: Neighbourhood and Family Effectsmentioning

confidence: 99%

Using sibling data to explore the impact of neighbourhood histories and childhood family context on income from work

2019

Self Cite

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Previous research has reported evidence of intergenerational transmissions of neighbourhood status and social and economic outcomes later in life. Research also shows neighbourhood effects on adult incomes of both childhood and adult neighbourhood experiences. However, these estimates of neighbourhood effects may be biased because confounding factors originating from the childhood family context. It is likely that part of the neighbourhood effects observed for adults, are actually lingering effects of the family in which someone grew up. This study uses a sibling design to disentangle family and neighbourhood effects on income, with contextual sibling pairs used as a control group. The sibling design helps us to separate the effects of childhood family and neighbourhood context from adult neighbourhood experiences. Using data from Swedish population registers, including the full Swedish population, we show that the neighbourhood effect on income from both childhood and adult neighbourhood experiences, is biased upwards by the influence of the childhood family context. Ultimately, we conclude that there is a neighbourhood effect on income from adult neighbourhood experiences, but that the childhood neighbourhood effect is actually a childhood family context effect. We find that there is a long lasting effect of the family context on income later in life, and that this effect is strong regardless the individual neighbourhood pathway later in life.

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“…A study by Petrović et al . () that examined a wide range of bespoke neighbourhoods based on distance found both more variation and greater complexity in the spatial patterns of ethnic exposure. Andersson and Malmberg () investigated neighbourhood effects on educational attainment using multiple units with fixed population sizes.…”

Section: Literaturementioning

confidence: 99%

Residential Segregation in the Amsterdam Metropolitan Region: A Longitudinal Analysis Using Scalable Individualised Neighbourhoods

Sleutjes

Ooijevaar

Valk

2019

Tijd voor Econ & Soc Geog

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This paper studies residential segregation in the Amsterdam Metropolitan Area and makes three contributions to the recent debates on segregation. First, both ethnic and socio‐economic segregation are studied by comparing isolation index scores for both individual indicators and their interactions. Second, neighbourhoods are defined as scalable individualised units, which allows for comparisons across spatial scales. Third, the paper adopts a longitudinal approach by covering three different time points, which enables us to get a grip on segregation trends. The results indicate that there are notable differences in segregation levels and trends between the applied segregation indicators. Ethnic segregation remained largely stable over the 2003–14 period, whereas the indicators of socio‐economic segregation have slightly changed, but all in different directions. Only for tertiary education segregation has increased over the entire period. The Dutch welfare system, the well‐dispersed and socially‐mixed social housing sector and gentrification help to explain these developments.

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Multiscale Measures of Population: Within- and between-City Variation in Exposure to the Sociospatial Context

Cited by 55 publications

References 76 publications

The Consequences of Spatial Inequality for Adolescent Residential Mobility

The Consequences of Spatial Inequality for Adolescent Residential Mobility

Using sibling data to explore the impact of neighbourhood histories and childhood family context on income from work

Residential Segregation in the Amsterdam Metropolitan Region: A Longitudinal Analysis Using Scalable Individualised Neighbourhoods

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