An exploration of childhood antecedents of female adult malaise in two British birth cohorts: combining Bayesian model averaging and recursive partitioning

Hobcraft, John and Sigle-Rushton, Wendy ORCID: 0000-0002-8450-960X (2005) An exploration of childhood antecedents of female adult malaise in two British birth cohorts: combining Bayesian model averaging and recursive partitioning. CASEpaper (95). Centre for Analysis of Social Exclusion, London, UK.

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Abstract

We use information from two prospective British birth cohort studies to explore the antecedents of adult malaise, an indicator of incipient depression. These studies include a wealth of information on childhood circumstances, behaviour, test scores and family background, measured several times during childhood. We are concerned both with incorporating model uncertainty and using a person-centred approach. We explore associations in both cohorts using two separate approaches: Bayesian model averaging (BMA) and recursive trees. The first approach permits us to assess model uncertainty, necessary because many childhood antecedents are highly correlated. BMA also aims to produce more robust results for extrapolation to other data sets through averaging over the range of plausible models. The second approach is concerned with partitioning the sample, through a series of binary splits, into groups of people who are as alike as possible. One advantage is that the approach is person-centred in that it retains real groups of respondents. We compare and contrast the insights obtained from the two approaches and use the results from each to inform the other and thus refine our understanding further. Moreover, we explore the claimed added robustness for extrapolation by using a split-sample for the 1970 cohort. The consistency of results across methods and cohorts is discussed throughout.

Item Type:	Monograph (Discussion Paper)
Official URL:	http://sticerd.lse.ac.uk/case
Additional Information:	© 2005 John Hobcraft and Wendy Sigle-Rushton
Divisions:	Social Policy Centre for Analysis of Social Exclusion
Subjects:	H Social Sciences > HB Economic Theory
JEL classification:	I - Health, Education, and Welfare > I1 - Health > I10 - General C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C14 - Semiparametric and Nonparametric Methods C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C11 - Bayesian Analysis
Date Deposited:	01 Jul 2008 12:01
Last Modified:	11 Dec 2024 18:43
URI:	http://eprints.lse.ac.uk/id/eprint/6269

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