Exploring the implications of changing census output geographies for the measurement of residential segregation: the example of Northern Ireland 1991-2001

One problem in analysing social and demographic change through time by using census data arises from differences in the size and shape of the geographical units that are used to output data between different years. Failure to correct for changing output geographies may lead to unknown and possibly l...

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Vydané v:Journal of the Royal Statistical Society. Series A, Statistics in society Ročník 174; číslo 1; s. 1 - 16
Hlavní autori: Shuttleworth, I. G., Lloyd, C. D., Martin, D. J.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford, UK Blackwell Publishing Ltd 2011
Blackwell Publishing
Blackwell
Royal Statistical Society
Oxford University Press
Edícia:Journal of the Royal Statistical Society Series A
Predmet:
Applications
Calculus of variations and optimal control
Census analysis
Census data
Census of Population
Censuses
Christianity
Data
Demographic change
Demographics
Estimation bias
Exact sciences and technology
General topics
Geography
Human geography
Indexes
Longitudinal studies
Mathematical analysis
Mathematics
Measurement
Methodology
Modifiable areal unit problem
Northern Ireland
Output geographies
Population censuses
Population dynamics
Population geography
Population size
Population structure
Probability and statistics
Protestantism
Residential segregation
Sampling theory, sample surveys
Sciences and techniques of general use
Segregation
Spatial statistics
Statistical analysis
Statistics
United Kingdom
United Kingdom > UK
Northern Ireland
Output geographies
Residential segregation
Multivariate analysis
Spatial statistics
Learning
Statistical method
Census
Sampling theory
Correlation analysis
Modifiable areal unit problem
Sample survey
Census analysis
Biased estimation
ISSN:0964-1998, 1467-985X
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Popis
Shrnutí:One problem in analysing social and demographic change through time by using census data arises from differences in the size and shape of the geographical units that are used to output data between different years. Failure to correct for changing output geographies may lead to unknown and possibly large biases when comparing results through time between different censuses. The paper addresses this issue by using the example of residential segregation in Northern Ireland. It has two main objectives. Firstly, by compiling 2001 Northern Ireland census data on 1991 census output geographies it assesses the sensitivity of indices of residential segregation to these changes in geographical units. Secondly, it suggests a method by which census analysts can assess how sensitive their results are to changing output geographies when they cannot correct for these changes and must work with the data ‘as they are'. A subsidiary aim is to contribute to the evidence base on residential segregation in Northern Ireland. The paper finds that indices of residential segregation are insensitive to changes in output geographies between 1991 and 2001. The reason suggested for this is that the units in each zonal geography are smaller than the spatial scale over which population counts are positively auto-correlated. The use of spatially weighted segregation indices is advanced as a generalizable means of learning about the geographical patterning of population in different censuses. It is argued that these insights combined with knowledge of the size of geographical units used in each census can help researchers elsewhere to judge how sensitive their results might be to changing census output geographies through time.
Bibliografia:http://dx.doi.org/10.1111/j.1467-985X.2010.00647.x
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ObjectType-Feature-1
content type line 14
ObjectType-Article-2
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ISSN:0964-1998
1467-985X
DOI:10.1111/j.1467-985X.2010.00647.x