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Structural analyses of occupational homogamy

Structural analyses of occupational homogamy. Paul Lambert (University of Stirling, UK) Dave Griffiths (University of Stirling, UK) Mark Tranmer (University of Manchester, UK) 14 November 2011, SOFI, Stockholm ‘Social Networks and Occupational Structure’ www.camsis.stir.ac.uk/sonocs.

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Structural analyses of occupational homogamy

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  1. Structural analyses of occupational homogamy Paul Lambert (University of Stirling, UK) Dave Griffiths (University of Stirling, UK) Mark Tranmer (University of Manchester, UK) 14 November 2011, SOFI, Stockholm ‘Social Networks and Occupational Structure’ www.camsis.stir.ac.uk/sonocs

  2. Three ways of analysing social connections between occupations… • Social Network Analysis • Social Interaction Distance analysis • Random Effects (Multilevel) Modelling

  3. 1) Social Network Analysis Network analysis to look for influential channels of social connections between occs. (camsis.stir.ac.uk/sonocs)

  4. Hypothetical network: 469 US OUGs & micro-classes Medical and dental technicians Medical professionals (Four different isolated components with internal links within microclass but no external links) ‘Pseudo-diagonal’ or ‘situs’ Green: prof.; Blue: routine non-mnl; Red: manual; Yellow: primary; Green: military Dental hygienists (further isolated components)

  5. <-Hypothetical Actual composition of occupational networks in USA in 2000: links reflect stratification as much as they do microclasses and psds

  6. Red to violet for low to high CAMSIS (grouped into 7). Structures similar to CAMSIS scales. Using Kamada-Kawai algorithm and no manual adjustment (expect removing some occs with no ties/relations) Romania, 2002 Philippines, 2000 Venezuela, 2001

  7. 2) Social Interaction Distance Analysis(www.camsis.stir.ac.uk : correspondence analysis; RC-II association models) A large cross-tabulation of pairs of occupations is modelled; dimension scores help predict frequency of occurrences in cells; scaled dimension scores are then presented as CAMSIS scale scores.

  8. Using CAMSIS approaches, www.camsis.stir.ac.uk • First dimension of SID scales is usually ‘social stratification’ • We’d interpret it as the contour of social reproduction • Gradational, but ‘lumpy’ for operational reasons (occ.s) • ‘Specificity’ (many scales!) • Dimensions: • 1 main one • numerous subsidiary patterns • Boundaries: • None(?)

  9. Dimensions=1; Boundaries= none; or maybe 1 in Ro? Griffiths/Lambert, RC28, April 2011

  10. Griffiths/Lambert, RC28, April 2011

  11. 3) Multilevel modelling • In general, can analyse Individual level data (i) with clustering in higher level units (j) (occupations; person groups)

  12. MLM’s on social network data? • We could analyse some other process/outcome • Own job = f(x), i(spouse’s job)

  13. Or analyse the counts of occurrences of links themselves? Y=# of links; Hocc at level 2, wocc at level 1. (Philippines) (ICC’s around 1 – 10%)

  14. BHPS own, family & friends’ jobs (xtmixed, j=370 occs, y=spouse link)

  15. Appendices

  16. French occupational codes

  17. ICC examples analysing occurrences..

  18. Linear outcomes regression

  19. Logit model

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