Title: Sample of Anonymised Records: User Meeting
1Sample of Anonymised Records User
Meeting Propensity to migrate by ethnic group
1991 2001 Paul Norman 1, John Stillwell 2
Serena Hussain 2 School of Geography, University
of Leeds 1 ESRC RES-163-25-0032 2 ESRC
RES-163-25-0028
2- Internal migration of Britain's ethnic
populations - John Stillwell Serena Hussain
- Understand how migration intensities and
patterns vary between ethnic groups at various
geographical levels in 2001 and what changes can
be identified between 1991 2001 - What happens when international migrants settle?
Ethnic group population trends projections for
UK local areas under alternative scenarios - Phil Rees, Paul Norman Peter Boden
- Investigate trends in migration propensities by
ethnic group need age-specific migration rates
for projections
3- Research questions
- Do propensities to migrate vary by ethnic group,
age, sex at the national level and for
sub-national areas? - How do spatial patterns of internal ethnic group
migration vary with spatial distribution of
ethnic populations and immigration at LAD scale,
2000-01? - What are the characteristics of the origins and
destinations of ethnic group migrants in 2000-01
at ward level? - What other factors influence migration
propensities? - Have there been any changes between 1991 2001?
4- Specification
- Stillwell Hussain have commissioned tables from
ONS, one of which is for flows at LAD scale in
England Wales - Ethnic groups consistent with ethnic group data
in SMS - Reasonable geographical detail but lacks
information on - sex other factors is only for 2000-01
5- Specification
- Data sources 1991 2001 Individual Licensed SAR
- Study population household communal
establishment residents in England Wales,
excluding recent immigrants - Close as possible to the ethnic group and age
detail from the commissioned table, plus sex,
migrant status and region (GOR) - Derive variables consistent for 1991 2001 that
the literature shows to be related to the
propensity to migrate - Social Class
- Educational achievement (degree)
- Tenure (owners, public renters, private
renters, communal) - Employment status (active, unemployed, other)
- Health (reported limiting long-term illness)
6Deriving variables Ethnicity
7- Deriving variables Social Class
- Available in 1991, emulated in 2001 using NS-SEC
-
-
- Age (0-15 16-19 20-24 25-29 30-44 45-59
60) - Migrant status (year before census) (y/n)
- Educational achievement (degree)
- Tenure (owners, public renters, private renters)
- Employment status (active, unemployed, other)
- Health (reported limiting long-term illness)
8Deriving variables Government Office
Region Available in 2001 SAR, needs estimating
for 1991
1991 areap
2001 GOR
Link to GOR via Centroid
GOR added to 1991 individual records using
areap link
9Contextual information 1991 economic depression,
high unemployment 2001 economically buoyant, low
unemployment Regional migration rates, different
pattern
10- Modelling migration logistic regression
- Outcome variable
- Dichotomous categorical outcome Did / Did not
migrate - Model predictions to lie between 0 1
- Explanatory variables
- Categorical or continuous
- Model outputs
- Odds of event compared with a base or
reference level - Can be expressed as probabilities
- Dale A, Fieldhouse E, Holdsworth C (2000)
Analyzing Census Microdata. Arnold London - Series of models developed
- Simple then adding in various factors
- Interactions explored
11Modelling migration probabilities (model
n) Influences on migration (year before census)
continued
12Modelling migration probabilities (model
n) Influences on migration (year before census)
continued
13Modelling migration probabilities (model
n) Influences on migration (year before census)
continued
14Modelling migration probabilities (model n)
15- Modelling summary
- Ethnicity
- South Asian groups less likely to migrate than
White group - White group propensities higher in 2001 than
1991 - Chinese, Black Other groups higher odds of
migration in 1991, but less difference from White
group by 2001 - Other factors consistent with literature
- Government Office Region complex picture
16- Using the model outputs
- Modelled migration probabilities by ethnic group
- For forecasting scenario models
- Estimate single year of age trends
- Corroborate from other sources
17- SARs goods less than goods
- SARs, lt goods
- Inconsistencies between 1991 2001 extracts,
e.g. variable definitions, geography different
decisions by UKs NSAs - Delays for 2001 release, loss of momentum
- For 2011 need continuity from previous censuses
- Loss of variable detail down to lowest in
common? - SARs microdata a great resource
- Large sample size
- Extraction of study population of interest
- Derivation of variables versatile
crosstabulations - Comparisons between 1991 2001 then 2011
- Modelling techniques