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• W1963804583 abstract "Purpose – The aim of this paper is to describe the use of sequence analysis to model trajectories of life‐course economic activity status, within a broader research agenda aimed at improving understanding of the relationship between socioeconomic position and health.Design/methodology/approach – The analysis used data on 288 participants of the Boyd Orr Stratified Sub‐Sample, comprising a combination of prospective and retrospective information on economic activity status, as well as health in early old age. Economic activity was coded as a time‐based sequence of states for each participant based on six‐month periods throughout their lives. Economic activity was classified as: pre‐labour market; full‐time employment; part‐time employment; housewife; made redundant; stopped work due to illness; retired; other unemployed; or not applicable. Optimal matching analysis was carried out to produce a matrix of distances between each sequence, which was then used as the basis for cluster analysis.Findings – The op..." @default.
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• W1963804583 date "2008-06-20" @default.
• W1963804583 modified "2023-09-23" @default.
• W1963804583 title "Modelling socioeconomic trajectories: an optimal matching approach" @default.
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• W1963804583 doi "https://doi.org/10.1108/01443330810881268" @default.
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