Scales, levels and processes: Studying spatial patterns of British census variables

Manley, David; Flowerdew, Robin; Steel, David G

doi:10.1016/j.compenvurbsys.2005.08.005

Cited by 82 publications

(76 citation statements)

References 6 publications

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“…The most appropriate definition of neighbourhoods in studies of neighbourhood choice is highly contested (see discussions by Galster, 2001;Kearns and Parkinson, 2001;Manley et al, 2006). Several different spatial levels have been used to identify neighbourhoods in the literature but the most common are census tracts, postal codes, or equivalent administrative divisions.…”

Section: Methodsmentioning

confidence: 99%

Neighbourhood Choice and Neighbourhood Reproduction

2011

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Abstract. Although we know a lot about why households choose certain dwellings, we know relatively little about the mechanisms behind their choice of neighbourhood. Most studies of neighbourhood choice only focus on one or two dimensions of neighbourhoods: typically poverty and ethnicity. This paper argues that neighbourhoods have multiple dimensions and that models of neighbourhood choice should take these dimensions into account. We propose the use of a conditional logit model. From this approach we can gain insight into the interaction between individual and neighbourhood characteristics which lead to the choice of a particular neighbourhood over alternative destinations. We use Swedish register data to model neighbourhood choice for all households which moved in the city of Uppsala between 1997 and 2006. Our results show that neighbourhood sorting is a highly structured process where households are very likely to choose neighbourhoods where the neighbourhood population matches their own characteristics. We find that income is the most important driver of the sorting process, although ethnicity and other demographic and socio-economic characteristics play important roles as well.

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Section: Methodsmentioning

confidence: 99%

Neighbourhood Choice and Neighbourhood Reproduction

2011

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“…There is much debate on what is the best way to define 'neighbourhoods' using administrative data (Kearns & Parkinson, 2001;Galster, 2001;Manley et al, 2006). Several studies have compared outcomes for different geographical scales and found significant differences (See Buck, 2001;Bolster et al, 2007;Graham et al, 2009).…”

Section: ---Table 1 About Here Please ---mentioning

confidence: 99%

The effect of neighbourhood housing tenure mix on labour market outcomes: a longitudinal investigation of neighbourhood effects

Ham¹,

Manley²

2009

Journal of Economic Geography

138

114

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This paper investigates the effect of different levels of neighbourhood housing tenure mix on transitions from unemployment to employment and the probability of staying in employment for those with a job. We used individual level data from the Scottish Longitudinal Study (SLS), a 5.3% sample of the Scottish population, covering a 10 year period. We found a strong negative correlation between living in deprived neighbourhoods and labour market outcomes (getting or keeping a job). We found a small, but significant, positive correlation between living in mixed tenure (40-80% social housing) streets and transitions from unemployment to employment. In the conclusion we discuss the extent to which we think these results can be interpreted as 'neighbourhood effects' or selection effects.

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“…The second issue is scale. Many of the causal mechanisms suggested to be behind neighbourhood effects will operate at specifi c scales which may vary between localities and over time (see Kwan, 2012;Manley et al, 2006). It may even be the case that any one mechanism may operate at different scales in different contexts.…”

Section: Ten Challenges For Neighbourhood Effects Researchmentioning

confidence: 99%