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Exploring social mobility with latent trajectory groups

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  • Patrick Sturgis
  • Louise Sullivan

Abstract

Summary. We present a new methodological approach to the study of social mobility. We use a latent class growth analysis framework to identify five qualitatively distinct social class trajectory groups between 1980 and 2000 for male respondents to the 1970 British Cohort Study. We model the antecedents of trajectory group membership via multinomial logistic regression. Non‐response, which is a considerable problem in long‐term panels and cohort studies, is handled via direct maximum likelihood estimation, which is consistent and efficient when data are missing at random. Our results suggest a combination of meritocratic and ascriptive influences on the probability of membership in the different trajectory groups.

Suggested Citation

  • Patrick Sturgis & Louise Sullivan, 2008. "Exploring social mobility with latent trajectory groups," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(1), pages 65-88, January.
    • Handle: RePEc:bla:jorssa:v:171:y:2008:i:1:p:65-88
    DOI: 10.1111/j.1467-985X.2007.00516.x
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    References listed on IDEAS

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    1. Bobby L. Jones & Daniel S. Nagin & Kathryn Roeder, 2001. "A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories," Sociological Methods & Research, , vol. 29(3), pages 374-393, February.
    2. Bengt Muthén & Kerby Shedden, 1999. "Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm," Biometrics, The International Biometric Society, vol. 55(2), pages 463-469, June.
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    Cited by:

    1. Adrian Byrne & Natalie Shlomo & Tarani Chandola, 2023. "Multilevel modelling approach to analysing life course socioeconomic status and understanding missingness," Review of Evolutionary Political Economy, Springer, vol. 4(2), pages 275-297, July.
    2. Doruk, Ömer Tuğsal & Pastore, Francesco & Yavuz, Hasan Bilgehan, 2024. "Intergenerational occupational mobility in Latin American economies: An empirical approach," Economic Systems, Elsevier, vol. 48(1).
    3. Paul Atkinson & Catherine Porter & Ian Gregory & Brian Francis, 2017. "Spatial modelling of rural infant mortality and occupation in 19th-century Britain," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 36(44), pages 1337-1360.

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