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Modeling within-household associations in household panel studies

Steele, Fiona and Clarke, Paul S and Kuha, Jouni (2019) 'Modeling within-household associations in household panel studies.' The Annals of Applied Statistics, 13 (1). 367 - 392. ISSN 1932-6157

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Abstract

Household panel data provide valuable information about the extent of similarity in coresidents' attitudes and behaviours. However, existing analysis approaches do not allow for the complex association structures that arise due to changes in household composition over time. We propose a flexible marginal modeling approach where the changing correlation structure between individuals is modeled directly and the parameters estimated using second-order generalized estimating equations (GEE2). A key component of our correlation model specification is the 'superhousehold', a form of social network in which pairs of observations from different individuals are connected (directly or indirectly) by coresidence. These superhouseholds partition observations into clusters with nonstandard and highly variable correlation structures. We thus conduct a simulation study to evaluate the accuracy and stability of GEE2 for these models. Our approach is then applied in an analysis of individuals' attitudes towards gender roles using British Household Panel Survey data. We find strong evidence of between-individual correlation before, during and after coresidence, with large differences among spouses, parent-child, other family, and unrelated pairs. Our results suggest that these dependencies are due to a combination of non-random sorting and causal effects of coresidence.

Item Type: Article
Uncontrolled Keywords: Household effects; household correlation; longitudinal households; homophily; multiple membership multilevel model; marginal model; generalised estimating equations
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HA Statistics
Divisions: Faculty of Social Sciences > Institute for Social and Economic Research
Depositing User: Elements
Date Deposited: 06 Sep 2018 09:19
Last Modified: 14 Jan 2020 14:15
URI: http://repository.essex.ac.uk/id/eprint/22184

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