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Partnership formation and dissolution over the life course: applying sequence analysis and event history analysis in the study of recurrent events

Author

Listed:
  • Helske, Satu
  • Steele, Fiona
  • Kokko, Katja
  • Räikkönen, Eija
  • Eerola, Mervi

Abstract

We present two types of approach to the analysis of recurrent events for discretely measured data, and show how these methods can complement each other when analysing co-residential partnership histories. Sequence analysis is a descriptive tool that gives an overall picture of the data and helps to find typical and atypical patterns in histories. Event history analysis is used to make conclusions about the effects of covariates on the timing and duration of the partnerships. As a substantive question, we studied how family background and childhood socio-emotional characteristics were related to later partnership formation and stability in a Finnish cohort born in 1959. We found that high self-control of emotions at age 8 was related to a lower risk of partnership dissolution and for women a lower probability of repartnering. Child-centred parenting practices during childhood were related to a lower risk of dissolution for women. Socially active boys were faster at forming partnerships as men.

Suggested Citation

  • Helske, Satu & Steele, Fiona & Kokko, Katja & Räikkönen, Eija & Eerola, Mervi, 2015. "Partnership formation and dissolution over the life course: applying sequence analysis and event history analysis in the study of recurrent events," LSE Research Online Documents on Economics 62244, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:62244
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    File URL: http://eprints.lse.ac.uk/62244/
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    partnership formation; partnership dissolution; sequence analysis; event history analysis; recurrent events; RES-576-25-0032;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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