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Lambert: BHPS conf July 2 009 1 ‘Escape from Poverty’ and Occupations Paul Lambert, Univ. Stirling Vernon Gayle, Univ. Stirling & ISER, Univ. Essex Paper presented to the BHPS Research Conference 9-11 July 2009, University of Essex

Paper presented to the BHPS Research Conference 9-11 July 2009, University of Essex

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‘Escape from Poverty’ and Occupations Paul Lambert, Univ. Stirling Vernon Gayle, Univ. Stirling & ISER, Univ. Essex. Paper presented to the BHPS Research Conference 9-11 July 2009, University of Essex. ‘Escape from Poverty’ and Occupations. - PowerPoint PPT Presentation

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  • Escape from Poverty and Occupations

    Paul Lambert, Univ. Stirling Vernon Gayle, Univ. Stirling & ISER, Univ. Essex

    Paper presented to the BHPS Research Conference9-11 July 2009, University of Essex

    Lambert: BHPS conf July 2009

  • Escape from Poverty and OccupationsOr, Occupational disadvantage and its relation to poverty and poverty transitions

    Why occupations matter How an occupational approach to measuring poverty could workSome preliminary results

    Lambert: BHPS conf July 2009

  • Some backgroundResearch on stratification, inequality, povertyWhole distribution, cf the most disadvantagedE.g. Poverty as < 50% median; Underclass as lacking assets; etcDirect vs indirect measures of poverty (e.g. Gordon, 2000, 2006) Absolute or relative measures

    Sociology primacy of the occupationEconomics, Social Policy: primacy of income and work-based income (e.g. UK welfare to work policies influenced by income considerations)

    Notion of a latent, underlying, socially embedded occupation as an indirect measure of poverty...?

    Lambert: BHPS conf July 2009

  • 1) Why occupations matter

    Some claims about occupations: Occupations matter more than other thingsOccupational inequality is mostly one-dimensional Occupational information resources are under-used, and this causes bad science *Quote as highlighted in Coxon and Jones (1978: 10)Nothing stamps a man as much as his occupation. Daily work determines the mode of life.. It constrains our ideas, feelings and tastes (Goblot, 1961)*

    Lambert: BHPS conf July 2009

  • (i) Occupations matter more

    Gissa job; I can do that

    From http://www.bbc.co.uk/liverpool/content/articles/2007/10/09/boys_from_the_blackstuff_feature.shtml

    Lambert: BHPS conf July 2009

  • (i) Occupations matter moreWe behave as if they doDefine our lifestylesDefine structures of social inequality

    b) LifestylesA large body of sociological evidence on the social meaning of occupations define friendships, marriage, leisure, consumption, and social reproduction itself (e.g. Devine 2004, Pettinger et al. 2005; Guveli et al. 2007; Archer 2007; Bottero et al. 2009)

    A mans work is as good a clue as any to the course of his life and to his social being and identity (Hughes, 1958)

    Lambert: BHPS conf July 2009

  • A specially selected table

    Source: BHPS 2007, currently employed adults, predictors of smoking (additional controls for age and gender)

    Lambert: BHPS conf July 2009

  • Lambert: BHPS conf July 2009

  • Lambert: BHPS conf July 2009

  • c) Occupations define structures of social inequality Occupations are convenient markers of major social inequalitiesOccupations (division of labour) are the primary driver of the structure of social inequality

    Empirical evidence..

    Reaffirms economic significance of jobs (McGovern et al, 2007; )Rejects thesis of diminished structural significance of occupations in modern society (Blossfeld et al., 2006) Highlights centrality of occupations in contours of other social divisions (e.g. immigration - Waldinger and Lichter, 2003)

    Lambert: BHPS conf July 2009

  • [Occupational not geographical inequality cf. Burrows & Crow 2006]

    Lambert: BHPS conf July 2009

  • Occupations stamp the life-course

    Lambert: BHPS conf July 2009

  • ..occupations and life-time lifestyles..

    Lambert: BHPS conf July 2009

  • Lambert: BHPS conf July 2009

  • ii) Occupational inequality is mostly one-dimensional

    Lambert: BHPS conf July 2009

  • Histograms go here

    Lambert: BHPS conf July 2009

  • iii) Occupational information resources are under-used, and this causes bad scienceDetailed occupational data is importante.g. Weeden & Grusky (2005)Handling of detailed occupational data is generally poor Re-coding to simplified categorisationsIgnoring complex data (e.g. careers; gender seg.)

    For more and more (and more) on this see www.dames.org.uk Lambert et al (2007)

    Lambert: BHPS conf July 2009

  • Lambert: BHPS conf July 2009

  • 2) How an occupational approach to measuring poverty could work Notion of a latent, underlying, socially embedded occupation as an indirect measure of poverty...?CAMSIS scales: relative social advantage typically associated with incumbents of occupational positions over lifetime (Stewart et al, 1980) Non-working have latent occupations easily measured by socially significant links (e.g. household sharing; career; parents) ..this may not be the same as current objective conditions...

    Apparently straightforward decision to make defining a threshold level of the average social advantage typically associated with incumbents of the occupational position

    Lambert: BHPS conf July 2009

  • Lambert: BHPS conf July 2009

  • All jobs, male scale: threshold=38.51 Occupational unit groups with > 90 in BHPS sampleRemember that these jobs scores are cross-classified by employment status

  • Lambert: BHPS conf July 2009

  • Female jobs, female scale: threshold = 38.45Occupational unit groups with > 50 females in BHPS sample

  • Assigning occupations to all: parsimonious cross-sectional strategy..?Modified Household dominance approachUse the most advantaged occupation within the household, prioritising ft work (e.g. Erikson, 1984), and recognising gender of occupation-holderFor students, parental jobs may be used

    For those in household without job..Retrospective questions on last main job Parental jobs used for those aged < 30?Possible weighting factor for unemployment dur.?

    Lambert: BHPS conf July 2009

  • Valid data on occupations (BHPS wave 17, excluding NI)

  • No occupational data - BHPS wave 17 (2007)

    Lambert: BHPS conf July 2009

  • Correlations between measures, BHPS, w17 individuals. These low correlations reflect people making 1 poverty threshold and not another

    Lambert: BHPS conf July 2009

  • Selected correlations with binary poverty indicatorsBHPS wave 17 excluding NI, N=12448

  • 3) Some preliminary results

    Lambert: BHPS conf July 2009

  • ..preliminary results..

    Lambert: BHPS conf July 2009

  • (Model shows coefficient B and t statistics for logit models predicting whether individuals are in poverty by alternative measures. BHPS waves 9-17 with HW standard error adjustment. Additional controls for age, gender).

    Lambert: BHPS conf July 2009

  • (Model shows coefficient B and t statistics for random effects logit models (xtlogit) predicting whether individuals leave poverty given they were in the previous year, by alternative measures. BHPS waves 9-17. Additional controls for age, gender).

    Lambert: BHPS conf July 2009

  • Lambert: BHPS conf July 2009

  • 4) Conclusions Escape from social disadvantage and occupationsOccupational measures as feasible indirect indicators of relative poverty/disadvantage for the whole population Reduce demographic/life-stage influence cf. income measuresMeasurement challengesReflecting current circumstances [vulnerability to poverty, Gordon 2006] Other alternative measures (e.g. using Unemployment data)The concept of povertyImplicitly absolute concept? Implicitly longitudinal (a thing to escape), but is this over-optimistic?Measurement & social science disciplines [Grusky & Kanbur 2007]What determines social disadvantage/poverty?Disadvantage is more stable than income-based measures showEducation and social background matters more than is recognisedFamily status / demographics matter lessWelfare to work is flawed?

    Lambert: BHPS conf July 2009

  • The bottom lineThere are a core of people who experience social disadvantage which is often longer term & fairly stableWe ought to identify and provide welfare support to the disadvantaged

    If we use income based poverty indicators we often identify the wrong people..and make poor policy decisions..E.g. of the UKs Working Families Tax Credits

    Occupational data might be parsimoniously used as an alternative indicator of social disadvantage

    Lambert: BHPS conf July 2009

  • Data sources University of Essex, & Institute for Social and Economic Research. (2009). British Household Panel Survey: Waves 1-17, 1991-2008 [computer file], 5th Edition. Colchester, Essex: UK Data Archive [distributor], March 2009, SN 5151.

    General Register Office for Scotland, 2001 Census: Standard Area Statistics (Scotland) [computer file]. ESRC/JISC Census Programme, Census Dissemination Unit, Mimas (University of Manchester)Halpin, B. (2006). British Household Panel Survey Combined Work-Life History Data, 1990-2005 [computer file]. 5th ed. Colchester, Essex: Institute for Social and Economic Research, [original data producer(s)]. UK Data Archive [distributor], November 2006. SN: 3954. .Minnesota Population Center. (2008). Integrated Public Use Microdata Series - International: Version 4.0. Minneapolis: University of Minnesota.Office for National Statistics. Social and Vital Statistics Division and Northern Ireland Statistics and Research Agency. Central Survey Unit, Quarterly Labour Force Survey, January - March, 2008 [computer file]. 2nd Edition. Colchester, Essex: UK Data Archive [distributor], October 2008. SN: 5851. Prandy, K., & Bottero, W. (1998). The use of marriage data to measure the social order in nineteenth-century Britain. Sociological Research Online, 3(1), U43-U54.

    Lambert: BHPS conf July 2009

  • ReferencesArcher, M. S. (2007). Making Our Way Through the World: Human Reflexivity and Social Mobility. Cambridge: Cambridge University Press.Blossfeld, H. P., Mills, M., & Bernardi, F. (Eds.). (2006). Globalization, Uncertainty and Men's Careers: An International Comparison. Cheltenham: Edward Elgar.Bottero, W., Lambert, P. S., Prandy, K., & McTaggart, S. (2009). Occupational Structures: The Stratification Space of Social Interaction. In K. Robson & C. Sanders (Eds.), Quantifying Theory: Pierre Bourdieu (pp. 141-150). Amsterdam: Springer Netherlands.Burrows, R., & Crow, G. (2006). Geodemographics, Software and Class. Sociology, 40(5), 793-812.Coxon, A. P. M., & Jones, C. L. (1978). The Images of Occupational Prestige: A Study in Social Cognition. London: MacMillan Press.Devine, F. (2004). Class Practices: How parents help their children get good jobs. Cambridge: Cambridge University Press.Erikson, R. (1984). Social Class of Men, Women and Families. Sociology, 18(4), 500-514.Goblot, E. (1961). Class and Occupation. In T. Parsons (Ed.), Theories of Society. New York: Free Press.Gordon, D., Pantazis, C., & Townsend, P. (2000). Absolute and overall poverty: A European history and proposal for measurement. In D. Gordon & P. Townsend (Eds.), Breadline Europe : The measurement of poverty (pp. 79-106). Bristol: The Policy Press.Gordon, D. (2006). The concept and measurement of poverty. In C. Pantazis, D. Gordon & R. Levitas (Eds.), Poverty and Social Exclusion in Britain: The Millenium Survey. Bristol: The Policy Press.Guveli, A., Need, A., & De Graaf, N. D. (2007). Socio-political, cultural and economic preferences and behaviour of the social and cultural specialists and the technocrats. Social class or education? . Social Indicators Research, 81(3), 597-631.Hughes, E. C. (1958). Men and their Work. Glencoe, Ill.: Free Press.Lambert, P. S., Tan, K. L. L., Turner, K. J., Gayle, V., Prandy, K., & Sinnott, R. O. (2007). Data Curation Standards and Social Science Occupational Information Resources. International Journal of Digital Curation, 2(1), 73-91.McGovern, P., Hill, S., Mills, C., & White, M. (2007). Market, Class and Employment. Oxford: Oxford University Press.Pettinger, L., Parry, J., Taylor, R., & Glucksmann, M. (Eds.). (2005). A New Sociology of Work? London:: Blackwell.Stewart, A., Prandy, K., & Blackburn, R. M. (1980). Social Stratification and Occupations. London: MacMillan.Tsakloglou, P., & Papadopoulos, F. (2003). Poverty, material deprivation and multi-dimensional disadvantage during four life stages: Evidence from the ECHP. In M. Barnes, C. Heady, S. Middleton, J. Millar, F. Papadopoulos, G. Room & P. Tsakloglou (Eds.), Poverty and Social Exclusion in Europe. Cheltenham: Edward Elgar.Waldinger, R., & Lichter, M. I. (2003). How the Other Half Works: Immigration and the Social Organization of Labor. Berkeley: University of California Press.Weeden, K. A., & Grusky, D. B. (2005). The Case for a New Class Map. American Journal of Sociology, 111(1), 141-212.