esrc seminar, keele university, 11 th november 2009 what migration statistics can and can’t tell...
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ESRC Seminar, Keele University, 11th November 2009
What migration statistics can and can’t tell us: implications for labour market
analysis
Anne E. Green
Tel: 024 7652 4113 [email protected]
Institute for Employment ResearchUniversity of Warwick
UK: key data sources• No single data source provides comprehensive information on
geographical mobility• No population registration system – but elsewhere failure to deregister
causes problems in measuring migration
• Survey and census sources International Passenger Survey (IPS) – measures flows of people
entering and leaving the UK Estimates of Total International Migration – estimates of immigration and
emigration Census of Population – decennial, no information on emigrants Labour Force Survey – weaker on short-term than long-term movers ad hoc local surveys – no comprehensive sampling frame
• Administrative sources National Insurance numbers registered to overseas nationals Worker Registration Scheme (covering A8 countries) – but not everyone
registers
• Local surveys How representative are they?
LGA resource guide:
Strategic importance of migration (1)Definitional issues Lack of clarity leads to confusion
UN definition: an ‘international’ migrant is someone who changes his or her country of residence for at least a year; interest in short-term migrants also
Country of birth: remains consistent for each individual
Nationality: more fluid – individuals can change nationality and UK nationals can hold more than one nationality
Legislative and policy framework
Sets context for legal migration to UK
EU freedom of movement: cross-border mobility for EU citizens
Tightening of controls at borders of EU
Points Based System (PBS): to manage migration from outside the EEA – previously work permits
Other routes: Asylum route; Students; Family reunion; Illegal migration
Blurring between different types of mobilityShort-term international mobility is an increasingly important aspect of workers’ mobility alongside conventional ‘permanent’ relocation
High Type of production-related move
Circulation - Daily
Commuting
Long distance (weekly) commuting
Circulation – at least one (usually several) overnight stays
SHORT-TERM
ASSIGNMENTS / MOBILITY
Fre
quen
cy o
f m
ove
men
t
Permanent Relocation
Labour Migration (intra- and inter-
organisational moves)
Low
Duration of move
High
Strategic importance of migration (2)International migration to and from the UK,
1997-2006 (source: ONS, TIM)
600,000
400,000
200,000
0
200,000
400,000
600,000
800,000
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
inward
outward
net inward
Strategic importance of migration (3) Migrant workers and the labour market
Recent focus of attention on A8 migrants
Labour market impacts: positive or negative
Consensus to date: migrant workers complement the local labour force rather than substitute for it
Employers and migrants as ‘gainers’ from migration
Uneven sectoral distribution of migrant workers
Uneven occupational distribution
Role of changing economic conditions – downturn in in-flows of A8 migrants
Impacts on cohesion: ‘recessionary racism’
Key sources of information and intelligence (1)
Introduction No single data source provides comprehensive
information on migration at national, regional and local levels – hence need to refer to a variety of sources and triangulate the findings
Official data provide a consistent overview across local areas
Local surveys and records fill gaps in knowledge – but inconsistencies across local areas because of use of different methodologies
Qualitative intelligence from local stakeholders supplements information from other sources
Key sources (2)Generic issues
Establishing migrant definitions and the coverage of data sources
Stocks and flows Stocks: number of
migrants in a local area at a particular snapshot in time
Flows: moves ‘in’ and ‘out’; ‘gross’ and ‘net’
Better information on in-flows than on out-flows
Residence and workplace issues
Are data on a residence- or a workplace- basis? (interpret alongside trends for neighbouring areas)Ongoing developments in data sources
Changes in policy, legislation, migration, recording systems
New developments – e.g. e-borders, UKSA report
Who is measured in counts of migrant stocks?
• The most mobile groups are the most difficult to capture in statistical data sources and shorter duration moves are more difficult to capture than longer duration ones
x
x
Time
x
x
x
y
y
y
y
y
X = start of moveY = end of move
Individuals
T1 T2 T3
Time
x
x
x
y
y
y
y
y
X = start of moveY = end of move
Individuals
T1 T2 T3
A
B
C
D
E
Individuals’ contribution to a stock estimate of short-term moves
Key sources (3)ONS statistics on international migration
IPS - International Passenger Survey
Only source measuring people entering and leaving the UK
does not include all migrants (e.g. excludes most asylum seekers)
only a sample interviewed based on initial intentions no sub-regional data
Total International Migration (TIM)
Use of IPS to derive estimates of long-term immigration and emigration nationally
used in production of local mid year population estimates
International Migration and Population Statistics Programme (imps) –new methods for allocation of international migrants
Key sources (4)‘Official’ Census and Survey sources
Census of Population comprehensive coverage
and disaggregation to micro areas
decennial captures migration in the
year before the Census country of birth
2011: new questions on: month/year of entry to UK intended length of stay citizenship English language ability
LFS / APS detailed quarterly data –
including country of birth, when came to UK, nationality, economic activity, employment
difficult to cover the most mobile elements of the population in a survey
has been used to estimate the regional labour market impact of new migration upon employment and wages
Median wage growth in migrant dense occupations in the East Midlands (LFS 2001-06)
-1 0 1 2 3 4 5 6 7 8 9
ICT Professionals
Health Professionals
Architects, Town Planners, Surveyors
Public Service Professionals
Health Associate Professionals
Metal Forming, Welding And Related Trades
Healthcare And Related Personal Services
Customer Service Occupations
Process Operatives
Assemblers And Routine Operatives
Transport Drivers And Operatives
Mobile Machine Drivers And Operatives
Elementary Process Plant Occupations
Elementary Personal Services Occupations
Elementary Cleaning Occupations
Elementary Security Occupations
Professional Other Operative and elementary occupations
Employment growth in migrants dense industries in the East Midlands (LFS 2001-06)
-30 -20 -10 0 10 20 30 40 50 60 70
Food, beverage manufacture
Textile manufacture
Clothing, fur manufacture
Rubber, plastic products manufacture
Other non-metallic products manufacture
Radio, TV, communication eqt. manufacture
Other transport eqt. manufacture
Wholesale trade
Hotels, restaurants
Transport by land
Auxiliary transport activities
Other business activities
Health, social Work
Activities of membership organisations
employment growth (percent per annum)
UK-born migrant
WM: Migrant dense sectors & occupations:
increasing migrant density → segmentation
Migrant dense industries Manufacturing Hotels & restaurants Transport Health & social workEmployment change: Manufacturing – overall
employment decline decreasing employment for UK
nationals, increasing employment for migrants
Hotels & restaurants, Health & social work - growth in employment for UK nationals and migrants, but faster growth for migrants
Vulnerability of migrant dense sectors
and occupations Health professionals Health Associate occupations Healthcare, related personal service Assemblers, routine operatives Elementary cleaning occupations Process operativesEmployment change:
• Health and related occupations - growth in employment for UK nationals and migrants, but faster growth for migrants
• Process, plant & machine operatives and elementary occupations - decreasing employment for UK nationals, increasing employment for migrants
Key sources (5)Administrative sources (1)
General Provide up-to-date
information at local level Coverage of each source
depends on regulations and practices associated with it
Do not identify when a person leaves the UK
National Insurance Numbers (NINos) allocated to overseas nationals
NINo generally required by an individual looking to work or claim benefits
Disaggregation by gender, age and nationality (all) to local authority level
Good proxy for arrivals and economically active
NINo Registrations to Overseas Nationals entering the UK: EAST MIDLANDS
by world area of origin
0
5
10
15
20
25
30
35
40
45
2002 2007
thou
sand
s
Unknown
Australasia & Oceania
Americas
Asia & Middle East
Africa
Other European
EU Accession
EU15
Key sources (6)Administrative sources (2)
Worker Registration Scheme (WRS)
Covers A8 migrants Self-employed are not
required to register Disaggregation by
nationality, age, gender, wage rate, ‘sector’ and ‘occupation’ (non standard), planned duration of stay, dependants
No requirement for workers to deregister
Largely workplace based
Work Permits and the PBS Permits specific to a
particular individual in a particular job
Employer applies for permit
Work permit data disaggregated by gender, age, nationality, ‘sector’ and ‘occupation’ (non standard)
Workplace based PBS – 5 tiers (no data as
yet)
WRS, 2004-2006 Work permits, 2005
Key sources (7)Registration and use of local services (1)
Introduction Measurements of
‘migration’ using such sources vary according to:
Remit of the service provided
Propensity of migrants to make use of that service
Registering with a GP Patient Data Registration
System (PRDS) New registrations are
given a flag 4 status if the previous address is outside the UK; this is ‘lost’ with subsequent registrations
Age and gender recorded Includes children Whether and when
migrants register
Key sources (8)
Pupil Census data Count of pupils in
maintained schools in England
Unique Pupil Number (UPN) – details of age, gender, ethnicity, first language, full postcode
Provides indication of settlement patterns of migrants with children (using a proxy of first language other than English)
Local surveys Supplement official
statistics and administrative sources
Can provide information and intelligence on migrants’
motivations, intentions, aspirations
experience of living and working in UK
use and need for services
Key sources (10) Issues in undertaking local surveys
No comprehensive sampling frame How to recruit the sample – various methods may not be representative of the population subject to (unknown) sampling error patterns and tendencies shown may vary over time Survey methodology – different biases: face-to-face interviews Web surveys self-completion questionnaires Focus groups Diaries and blogs Longitudinal approaches
Key sources (11) Other sources of local intelligence
Local authorities Trade Unions Employment agencies and
other labour market intermediaries
Employers and Chambers of Commerce
Libraries Migrants’ food shops Citizens Advice Bureaux Churches and other faith-
based organisations Private landlords, housing
associations, estate agents
Churches and other faith-based organisations
Private landlords, housing associations, estate agents
Community groups and organisations serving new arrivals and more established migrants
Police, community wardens Fire Service Colleges Schools Hospitals, health centres Transport providers
Using migration data (1)
Generic issues: how the data were
collected (data collection methodology)
why the data were collected (rationale for data collection)
how information is recorded
Key questions: who is covered / not
covered by the data set? when does the
information relate to? where are individuals
recorded? what is the context for
data collection (e.g. legal requirement, administrative process, voluntary registration)
Using migration data (2) Bringing data together
Example of Herefordshire ‘official’ survey and administrative sources SAWS data Agricultural Census annual surveys of farmers Housing section of local authority,
Homelessness Team
What ‘official’ and administrative sources can tell us
Economic position Sector Occupation Calculations of migrant
density Labour market
segmentation Earnings GVA contribution
Migrants’ position vis-à-vis non-migrants
Country of birth Nationality Date of entry to UK Age Gender Household characteristics
Trends over time
What ‘official’ and administrative sources can’t tell us
Motivations of migrants Insights into process ‘Lived experience’ of
migrants Limited information on
illegal working / vulnerability / exploitation
English language ability (but in 2011 Census)
Limited longitudinal perspective (5 quarters of LFS/APS)
Limited information on emigration
Issue of short-term movements
Limited information on demand side (i.e. from employers – although NESS provides context)
How jobs were obtained
Migrant workers in the West Midlands:Migrants’ motivations Employers’ motivations
Overwhelmingly economic
• Most important reason for migration was to work/ find a job/ earn money:
62% of sample 75% of those not working prior
to coming to the UK
“Money is the most important thing. But not only of course.”
Other reasons all less important: learning English study join family
Exploration
Careers across boundaries
To address labour shortages –
• 28% - a migrant worker was the most suitable applicant
• 20% - migrant workers are more willing to do this type of work
• 16% - migrant workers work harder
• 14% - people from the UK are not interested in doing this type of work
• 13% - overall lack of applicants
Mainly employed to meet ‘steady demand throughout the year’ (64%)
Employers’ descriptors of migrant workers:(evidence from the South East)
better-workers do-a-good-job extra-hours flexible friendly
get-on-with-the-job good-skills
good-workers
hard-workers
loyal respect-for-the-job
skilled-workers skills
very-hard-workers
willing-to-learn willing-to-work
willing-to-work-longer-hours
work-harder
BUT drawbacks of qualitative / local studies … and other issues
Limited information on broader labour market context
Constraints on size of surveys – issues of generalising from a limited number of cases
How representative?
• Shortcomings in ‘official’ and administrative statistics also
• Access to administrative data becoming more problematic
• Free movement – why count?
• Value of mixed methods