Using the ONS Longitudinal Study to contextualise cross-sectional results: An example from the study...

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Using the ONS Longitudinal Study to contextualise cross- sectional results: An example from the study of occupational sex segregation by ethnic group by L. Blackwell and D. Guinea-Martin

Transcript of Using the ONS Longitudinal Study to contextualise cross-sectional results: An example from the study...

Page 1: Using the ONS Longitudinal Study to contextualise cross-sectional results: An example from the study of occupational sex segregation by ethnic group by.

Using the ONS Longitudinal Study to contextualise cross-sectional results: An example from the study of occupational sex segregation by ethnic group

by L. Blackwell and D. Guinea-Martin

Page 2: Using the ONS Longitudinal Study to contextualise cross-sectional results: An example from the study of occupational sex segregation by ethnic group by.

Introduction

• Definitions • Occupational segregation by sex and ethnicity in the 1991

Census• Data used• Methods

- Comparability and context: longitudinal evidence• 1991 and 2001 compared• Changing patterns of concentration

CAVEAT: WORK IN PROGRESS

Acknowledgement: Bob Blackburn, Cambridge University

Page 3: Using the ONS Longitudinal Study to contextualise cross-sectional results: An example from the study of occupational sex segregation by ethnic group by.

Definition

• Occupational segregation describes the tendency for different groups in the population (women and men, ethnic groups, full- and part-timers) to work in different occupations.

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Analysis of occupational sex segregation by ethnic group in the 1991 Census

• Do gender and ethnicity combine to create cumulative disadvantage in employment?

• What role does women’s part-time work play?

• Blackwell, L (2003) ‘Gender and ethnicity at work: occupational segregation and disadvantage in the 1991 British Census’, Sociology Vol 37(4):713-731.

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Results from 1991 Census analysis

• Most minority ethnic groups were less sex segregated than white people

• There was more ethnic variation in men’s employment than in women’s

• In every ethnic group, women part-timers were more sex segregated than women full-timers

• Associations between part-time work, occupational segregation and disadvantage did not hold for all ethnic groups. Some minority ethnic groups were advantaged relative to white people and Bangladeshi women in employment were less disadvantaged than co-ethnic men

• Suggests ‘cumulative disadvantage’ of sex and ethnicity is too simplistic

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Data used (1)

Census Longitudinal Study

1971

1981

1991

2001

+ events

+ events

+ events

+ events

1991

2001

10 % x-section

100 % x-section

1 %

linked

1991

2001

n = 60,000

1996

LFS

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Comparability of ethnic classification: longitudinal evidence (Simpson & Akinwale 2005)

2001 groups left out:• White/B.Caribbean• White/B. African• White/Asian• Other mixed

1991/2001 groups

left out:• Other Black• Other Asian• Other Ethnic Group

91

93.4

91.9

91

77.4

77.2

99.5

0 10 20 30 40 50 60 70 80 90 100

White

B.Caribbean

B.African

Indian

Pakistani

Bangladeshi

Chinese

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Comparability between Standard Occupational Classifications used in the 1991 and 2001 Censuses

• Gini scores based at Minor Group Level.

• Why Minor Group Level? Finest classification with least zeros.

• Why finest?

Broad classifications ‘average out’ segregation.

Levels SOC90 SOC2000

Major Group 9 9

Sub-Major Group 22 25

Minor Group 77 81

Unit Group 371 353

Page 9: Using the ONS Longitudinal Study to contextualise cross-sectional results: An example from the study of occupational sex segregation by ethnic group by.

Ethnic differences in economic activity for men aged 16 to 64 (Source: 100 per cent 2001 Census data)

Ethnic differences in economic activity for men aged 16 to 64 (Source: 100 per cent 2001 Census data)

0.00 10.00 20.00 30.00 40.00 50.00 60.00 70.00 80.00 90.00 100.00

White

Black Caribbean

Black African

Indian

Pakistani

Bangladeshi

Chinese

% Employed % Unemployed

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Ethnic differences in economic activity for women aged 16 to 59 (Source: 100 per cent 2001 Census data)

Ethnic differences in economic activity for women aged 16 to 59 (Source: 100 per cent 2001 Census data)

0.00 10.00 20.00 30.00 40.00 50.00 60.00 70.00 80.00 90.00 100.00

White

Black Caribbean

Black African

Indian

Pakistani

Bangladeshi

Chinese

% Employed % Unemployed

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Ethnic variation in economic activity over time: 1991/01 economic activity of males aged 26-65 in 2001 by 2001 ethnic group (Source: ONS Longitudinal Study)

70.8

56.7

49.2

62.1

44.9

40.5

63.1

22.3

32.1

36.3

28.6

34.4

32.1

27.3

6.9

11.1

14.5

9.2

20.7

27.3

9.6

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

White

Black Caribbean

Black African

Indian

Pakistani

Bangladeshi

Chinese

In work at both Censuses In work at one Census Not in work at either

Page 12: Using the ONS Longitudinal Study to contextualise cross-sectional results: An example from the study of occupational sex segregation by ethnic group by.

Ethnic variation in economic activity over time:1991/01 economic activity of males aged 26-65 in 2001 by 2001 ethnic group (Source: ONS Longitudinal Study)

49.1

48.7

39.6

40.4

12.2

7.9

40.1

33.6

33.9

37.2

36.7

21.8

15.7

38.2

17.3

17.4

23.2

22.9

66.0

76.5

21.7

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

White

Black Caribbean

Black African

Indian

Pakistani

Bangladeshi

Chinese

In work at both Censuses In work at one Census Not in work at either

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Demography and presence over time

White people in the LS 2001 Male/ Female

25000 20000 15000 10000 5000 0 5000 10000 15000 20000 25000

25 to 29

30 to 34

35 to 39

40 to 44

45 to 49

50 to 54

55 to 59

60 to 64

2001 Age

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Demography and presence over time

White people in the LS 2001 (1991)Male/ Female

25000 20000 15000 10000 5000 0 5000 10000 15000 20000 25000

25 to 29

30 to 34

35 to 39

40 to 44

45 to 49

50 to 54

55 to 59

60 to 64

2001 Age

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Demography and presence over time

Chinese people in the LS (2001) Male/Female

-150 -100 -50 0 50 100 150

25 to 29

30 to 34

35 to 39

40 to 44

45 to 49

50 to 54

55 to 59

60 to 64

2001 Age

Page 16: Using the ONS Longitudinal Study to contextualise cross-sectional results: An example from the study of occupational sex segregation by ethnic group by.

Demography and presence over time

Chinese people in the LS 2001 (1991)Male/Female

-150 -100 -50 0 50 100 150

25 to 29

30 to 34

35 to 39

40 to 44

45 to 49

50 to 54

55 to 59

60 to 64

2001 Age

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Demography and presence over time

Bangladeshi people in the LS 2001Male/ Female

250 200 150 100 50 0 50 100 150 200 250

25 to 29

30 to 34

35 to 39

40 to 44

45 to 49

50 to 54

55 to 59

60 to 64

2001 Age

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Demography and presence over time

Bangladeshi people in the LS 2001 (1991)Male/ Female

250 200 150 100 50 0 50 100 150 200 250

25 to 29

30 to 34

35 to 39

40 to 44

45 to 49

50 to 54

55 to 59

60 to 64

2001 Age

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Measuring segregation: The Gini index Segregation Curve, England and Wales, 1991 & 2001

0

10

20

30

40

50

60

70

80

90

100

0 10 20 30 40 50 60 70 80 90 100

Cumulative proportion men

Cu

mu

lati

ve

pro

po

rtio

n w

om

en

1991 Integration 2001

Per cent female

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Occupational sex segregation over time (standardised Gini indices)

1971 1981 1991 1996 2001 2001 (CO70) (CO80) (SOC90) (SOC90) (SOC2000) (SOC90)

Census - - 0.78 - 0.69 -

LFS - - 0.76 0.75 0.72

ONS LS 0.81 0.80 0.77 - 0.70 0.72 (no person imput.)

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Occupational sex segregation by ethnic group 1991 & 2001 (standardised Gini indices)

1991 2001 Ethnic group

Index Rank Index Rank Difference

White 0.78 2 0.70 1 -0.08

Indian 0.61 5 0.54 5 -0.07

Pakistani 0.67 4 0.63 4 -0.04

Bangladeshi 0.76 3 0.69 2 -0.07

B. Caribbean 0.80 1 0.69 2 -0.11

B. African 0.61 5 0.54 5 -0.07

Chinese 0.51 7 0.48 7 -0.03

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Discussion

• Decline in occupational sex segregation is consistent with other findings (Elliott & Gerova 2005, Hakim 1992+, Blackburn and Jarman 2005 )

• Consistency of decline across ethnic groups suggests structural change, given the flux in the minority ethnic labour force

• This is supported by an examination of occupational concentration, considering the 5 most common occupations for each group and how they changed between 1991 and 2001

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Next steps

• Further cross-sectional work: analysis of segregation of full- and part-timers, manual/non-manual, UK- and non UK-born

• LS-based case studies of particular ethnic and occupational groups: Bangladeshi vs Chinese, sewers and first/second generation Indian, Pakistani and Bangladeshi workers.

• LS modelling of transition to work by ethnic groups.• LS-based comparison of SOC90 and SOC2000.