Irini Moustaki: Modelling intergenerational exchanges of help using models for multivariate longitudinal data in the presence of zero excess @ CREATE Lab, 196 Mercer St., 8th Floor

05/28/2019 1:00 pm – 05/28/2019 2:00 pm Modelling intergenerational exchanges of help using models for multivariate longitudinal data in the presence of zero excess Irini Moustaki Department of Statistics, London School of Economics & Political Science Multivariate longitudinal data occur often real data applications. Models with latent variables have been developed to account for time and item dependencies in different ways based on the research questions of interest. In this talk we will discuss results from the modeling dyadic data that provide information on intergenerational exchanges of help in the UK. We use longitudinal data from three waves of the UK Household Longitudinal Survey, to study and explain associations between exchanges of support from the respondent to their parents and to their children. The data resemble the structure of dyadic data, they are collected across time and they are also multivariate because constructs of interest are measured by multiple indicators. Support is measured by a set of binary indicators of different kinds of help. We propose two different joint models of bidirectional exchanges with support given and support received treated as a multivariate response, and covariances between responses measuring the extent of reciprocation between generations. Moreover, joint modeling of longitudinal data allows for the possibility that reciprocation may occur contemporaneously or may be postponed until the donor is in need of help or the recipient is in a position to reciprocate.