Tracey Warren (2000)
'Women in Low Status Part-Time Jobs: A Class and Gender Analysis
'
Sociological Research Online, vol. 4, no. 4,
<http://www.socresonline.org.uk/4/4/warren.html>
To cite articles published in Sociological Research Online, please reference the above information and include paragraph numbers if necessary
Received: 1/6/1999 Accepted: 28/10/1999 Published: 29/2/2000
SOC | Part-time | Full-time | All | |
Column % | ||||
Higher Level Non-Manual | ||||
I | Managers and administrators | 3 (14) | 13 (86) | 9 |
II | Professional occupations | 9 (33) | 12
(67) | 11 |
III | Associate professional and technical | 8 (30) | 13 (70) | 11 |
Lower Level Non-Manual | ||||
IV | Clerical and secretarial | 24 (34) | 33 (66) | 29 |
Manual | ||||
V | Craft and related | 2 (28) | 3 (72) | 2 |
VI | Personal and protective service | 20 (56) | 11 (44) | 15 |
VII | Sales | 18 (69) | 6 (31) | 11 |
VIII | Plant and machine operatives | 3 (26) | 6 (74) | 5 |
IX | Other | 15 (79) | 3 (21) | 8 |
N | 876 (42) | 1221 (58) | 2097 |
Box 1: Occupational and working time groups analysedPart-time
|
Prof. | Clerical | Manual | All | |
Column % | ||||
Part-time employees | ||||
Short part-time (0-15) | 21 | 24 | 41 | 33 |
(13) | (18) | (69) | (100) | |
Moderate part-time (16-23) | 39 | 53 | 36 | 41 |
(18) | (31) | (51) | (100) | |
Long part-time (24-30) | 39 | 23 | 23 | 26 |
(29) | (21) | (50) | (100) | |
Median hours | 20 | 20 | 17 | 20 |
N | 168 | 209 | 499 | 876 |
Total % | 8 | 10 | 24 | 42 |
Full-time employees | ||||
Short full-time (31-36) | 56 | 71 | 43 | 57 |
(37) | (41) | (22) | (100) | |
Long full-time (37-44) | 38 | 29 | 54 | 40 |
(37) | (24) | (39) | (100) | |
Very long full-time (45+) | 6 | 0 | 3 | 3 |
(69) | (5) | (26) | (100) | |
Median hours | 37 | 37 | 38 | 37 |
N | 467 | 399 | 355 | 1221 |
Total % | 22 | 19 | 17 | 58 |
(Percentages) | |||||||||
Part-time | Full-time | All | |||||||
Prof. | Clerical | Manual | Prof. | Clerical | Manual | Part-time | Full-time | Total | |
Day | 75 | 85 | 66 | 80 | 95 | 73 | 72 | 82 | 78 |
(7) | (11) | (20) | (23) | (23) | (16) | (39) | (61) | (100) | |
Evening/night | 9 | 4 | 14 | 1 | 0 | 5 | 10 | 2 | 5 |
(13) | (6) | (61) | (5) | (0) | (14) | (81) | (19) | (100) | |
Mixed/other | 16 | 11 | 20 | 19 | 5 | 23 | 17 | 16 | 16 |
(8) | (7) | (29) | (26) | (6) | (24) | (44) | (56) | (100) | |
N | 168 (8) | 209 (10) | 499 (24) | 467 (22) | 399 (19) | 355 (17) | 876 (42) | 1221 (58) | 2097 (100) |
Part-time | Full-time | All | |||||||
Prof. | Clerical | Manual | Prof. | Clerical | Manual | Part-time | Full-time | Total | |
Median hourly gross wage (£) | 8.7 | 4.9 | 3.6 | 8.4 | 5.6 | 3.9 | 4.2 | 5.9 | 5.1 |
Mean hourly gross wage (£) | 9.4 | 5.1 | 3.4 | 9.0 | 5.8 | 4.5 | 5.2 | 6.7 | 6.1 |
Median wage as % of overall average (%) | 171 | 96 | 71 | 165 | 110 | 76 | 82 | 117 | 100 |
N | 168 (8) | 209 (10) | 499 (24) | 467 (22) | 399 (19) | 355 (17) | 876 (42) | 1221 (58) | 2097 (100) |
Percentages | |||||||||
Part-time | Full-time | All | |||||||
Prof. | Clerical | Manual | Prof. | Clerical | Manual | Part-time | Full-time | Total | |
a) Male partner's occupations: | |||||||||
Managerial/profes/ass. prof. | 65 | 41 | 29 | 63 | 39 | 30 | 40 | 46 | 43 |
(15) | (11) | (16) | (30) | (18) | (9) | (43) | (57) | (100) | |
Clerical | 4 | 7 | 7 | 4 | 8 | 9 | 6 | 6 | 7 |
(6) | (14) | (26) | (12) | (24) | (17) | (46) | (54) | (100) | |
Manual | 31 | 52 | 64 | 33 | 54 | 61 | 54 | 48 | 50 |
(6) | (12) | (31) | (14) | (21) | (16) | (49) | (51) | (100) | |
b) Couples' earnings: | |||||||||
Median monthly gross earnings: | £ | ||||||||
Dual employee couple total | 2555 | 1987 | 1484 | 2980 | 2238 | 1834 | 1790 | 2347 | 2097 |
Woman employee | 754 | 418 | 277 | 1451 | 924 | 720 | 373 | 1001 | 721 |
Male employee partner | 1801 | 1569 | 1207 | 1529 | 1314 | 1114 | 1417 | 1346 | 1376 |
Women's earnings as % couple total | 30 | 21 | 19 | 49 | 41 | 39 | 21 | 43 | 34 |
N | 126 (10) | 149 (12) | 298 (24) | 258 (21) | 246 (20) | 163 (13) | 573 (46) | 667 (54) | 1240 (100) |
Percentages | |||||||||
Part-time | Full-time | All | |||||||
Prof. | Clerical | Manual | Prof. | Clerical | Manual | Part-time | Full-time | Total | |
a) Women's educational level | |||||||||
High | 83 | 32 | 24 | 80 | 38 | 40 | 36 | 55 | 47 |
(14) | (7) | (12) | (38) | (15) | (14) | (33) | (67) | (100) | |
Intermediate | 12 | 57 | 42 | 16 | 54 | 35 | 40 | 34 | 37 |
(3) | (16) | (27) | (10) | (28) | (16) | (45) | (55) | (100) | |
Low | 5 | 11 | 34 | 4 | 7 | 25 | 23 | 41 | 16 |
(2) | (7) | (51) | (5) | (8) | (26) | (60) | (40) | (100) | |
b) Fathers' occupation1: | |||||||||
Managerial/professional | 39 | 19 | 13 | 36 | 19 | 15 | 19 | 24 | 22 |
(16) | (10) | (15) | (34) | (15) | (10) | (41) | (59) | (100) | |
Intermediate non-manual | 7 | 7 | 4 | 8 | 8 | 3 | 5 | 7 | 6 |
(10) | (14) | (17) | (27) | (24) | (8) | (41) | (59) | (100) | |
Junior non-manual | 7 | 6 | 5 | 6 | 8 | 4 | 5 | 6 | 6 |
(10) | (11) | (23) | (21) | (25) | (10) | (44) | (56) | (100) | |
Manual | 36 | 47 | 56 | 31 | 49 | 52 | 50 | 42 | 46 |
(7) | (11) | (32) | (14) | (19) | (16) | (38) | (62) | (100) | |
Other/not in paid work | 12 | 21 | 23 | 19 | 16 | 26 | 22 | 20 | 20 |
(5) | (12) | (30) | (20) | (15) | (18) | (47) | (53) | (100) | |
c) Mothers' occupation1: | |||||||||
Managerial/professional | 5 | 4 | 3 | 6 | 4 | 4 | 3 | 5 | 4 |
(11) | (11) | (17) | (32) | (17) | (13) | (38) | (62) | (100) | |
Intermediate non-manual | 17 | 6 | 6 | 14 | 11 | 9 | 8 | 12 | 10 |
(16) | (7) | (15) | (31) | (19) | (13) | (38) | (62) | (100) | |
Junior non-manual | 23 | 23 | 20 | 23 | 27 | 21 | 21 | 24 | 23 |
(9) | (12) | (24) | (21) | (21) | (13) | (44) | (56) | (100) | |
Manual | 17 | 18 | 20 | 10 | 16 | 21 | 19 | 15 | 17 |
(9) | (12) | (32) | (13) | (17) | (18) | (53) | (47) | (100) | |
Other/not in paid work | 39 | 49 | 52 | 47 | 43 | 47 | 49 | 45 | 47 |
(7) | (9) | (29) | (23) | (17) | (15) | (45) | (55) | (100) | |
N | 168 (8) | 209 (10) | 499 (24) | 467 (22) | 399 (19) | 355 (17) | 876 (42) | 1221 (58) | 2097 (100) |
2For a debate over how 'meritocratic' is Britain see for example, Saunders (1995), Lampard (1996) and Marshall and Swift (1996).
3Even though the classic study by Willis (1977) of working class school-boys shows that a number of boys did in fact 'opt out' of school saying that they did not need an education for their future working class lives, the resulting conclusions centred around issues of exclusion and not preference. Notably, there has been no subsequent argument that working class adult men who are in low paid jobs or who are unemployed are, as a result, grateful slaves who brought it all on themselves.
4Other research has detailed the constraints which mean that women of certain minority ethnic groups work full-time rather than part-time (Dale and Holdsworth 1998; Holdsworth and Dale 1997; Reynolds 1998). Unfortunately, due to the sample size, it was not possible to split the six groups of women into different ethnic or 'racial' groups.
5Proxy respondents, where another person provided their details, are excluded.
6See Hakim (1998b) on the problems with this definition of part-time work, and also Warren and Walters (1998).
7That non-manual full-timers were more likely to be 'managers and administrators' than part-timers supports Crompton and Harris's (1998a) argument that managerial occupations have restricted the introduction of part-time employment for women much more so than professional occupations.
8The 1999 Budget allowed women earning below the NIC but at least £30 a week to be entitled to Maternity Allowance (DSS 1999a) and future changes to NICs are outlined in DSS (1999b).
9This also supports the idea that even though they do not face disadvantage in working part-time, many women from minority ethnic groups face a different hours disadvantage in the labour market than white women. Although there were only a small number of women from minority ethnic groups in the sample of employees, these women were over-concentrated in full-time manual jobs. Other research using Census data (Dale and Holdsworth 1998) found that Indian, Bangladeshi and Pakistani female employees were over-concentrated in semi-skilled factory work whilst qualitative studies (Reynolds 1998) have shown that working class African-Caribbean women work very long full-time hours.
10Wage disadvantage can be the result of differences in, for example, the age or level of education between the part-time and the full-time samples. A standard OLS wage regression confirmed that, even after controlling for such supply factors, for female employees there was still a disadvantage associated with working part-time rather than full-time.
11This is not to suggest that the incomes of both partners are distributed equally throughout the household, and that women have equal access to their male partner's earnings (see Glendenning and Millar 1991).
12A regression model was constructed with part-time/full-time as the dependent variable for the sample of female employees. This variable was regressed against a number of independent variables such as age, marital status, motherhood and so forth (in addition, a number of labour market indicators of high part-time employment were also incorporated such as whether the firm was a small private sector firm, whether the occupation was woman-dominated and so on to combine both supply and demand effects in one model). The results indicated that a relationship still existed between working part-time and education, after controlling for these other factors.
13Whilst data from Wave E of the BHPS are the focus of this paper, this question about parents' occupations was asked of the respondents in Wave A.
14For example, of the women with low education, 82% of the daughters of manual fathers were also manual workers compared with 47% of women whose fathers were in managerial/professional posts. Of the women with high levels of education, 65% of the daughters of professional fathers were in professional/managerial jobs, compared with 45% of manual workers' daughters.
(Percentages) | |||||||||||
Part-time | Full-time | All | |||||||||
Column % | Prof. | Clerical | Manual | Prof. | Clerical | Manual | Part-time | Full-time | Total | ||
a) Age: | |||||||||||
18-24 | 5 | 5 | 7 | 10 | 24 | 26 | 6 | 19 | 14 | ||
25-34 | 27 | 26 | 25 | 37 | 32 | 26 | 26 | 32 | 29 | ||
35-44 | 34 | 37 | 29 | 28 | 18 | 23 | 32 | 23 | 27 | ||
45-54 | 28 | 26 | 29 | 22 | 23 | 20 | 28 | 22 | 25 | ||
55-59 | 6 | 5 | 9 | 3 | 3 | 5 | 8 | 4 | 5 | ||
b) Marital status: | |||||||||||
Married | 79 | 82 | 74 | 51 | 50 | 43 | 77 | 49 | 61 | ||
Living as couple | 8 | 5 | 7 | 14 | 20 | 21 | 7 | 17 | 14 | ||
Widowed/separated/divorced | 5 | 8 | 12 | 13 | 9 | 11 | 9 | 11 | 10 | ||
Single | 8 | 5 | 7 | 22 | 21 | 25 | 7 | 23 | 16 | ||
c) Number of dependent1 children | |||||||||||
0 | 39 | 37 | 43 | 74 | 81 | 76 | 45 | 77 | 62 | ||
1 | 22 | 27 | 25 | 14 | 12 | 13 | 25 | 13 | 18 | ||
2 | 30 | 29 | 23 | 9 | 6 | 10 | 26 | 8 | 16 | ||
3+ | 9 | 7 | 9 | 3 | 1 | 1 | 9 | 2 | 5 | ||
d) Age of youngest dependent child2 | |||||||||||
0-4 | 43 | 37 | 30 | 28 | 27 | 26 | 34 | 27 | 32 | ||
5-11 | 42 | 43 | 43 | 38 | 33 | 31 | 43 | 34 | 40 | ||
12-18 | 15 | 20 | 27 | 34 | 40 | 44 | 23 | 39 | 29 | ||
N | 168 (8) | 209 (10) | 499 (24) | 467 (22) | 399 (19) | 355 (17) | 876 (42) | 1221 (58) | 2097 (100) |
High Higher degree First degree Teaching Other higher Nursing | Intermediate A level O level | Low Commercial, no O level CSE grade 2-5 Apprenticeship Other None |
This follows the International Standard Classification of Education (ISCED), where secondary and above level education is divided into second level (stage one and stage two) and third level or university/equivalent education (OECD 1996).
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