Consequences of measurement error for inference in cross-lagged panel design : the example of the reciprocal causal relationship between subjective health and socio-economic status
Journal of the royal statistical society series a-statistics in society, 2016, Vol. 179, No. 2, pp. 607-628
KRÖGER, Hannes, HOFFMANN, Rasmus, PAKPAHAN, Eduwin, Consequences of measurement error for inference in cross-lagged panel design : the example of the reciprocal causal relationship between subjective health and socio-economic status, Journal of the royal statistical society series a-statistics in society, 2016, Vol. 179, No. 2, pp. 607-628 - https://hdl.handle.net/1814/61513
Retrieved from Cadmus, EUI Research Repository
We discuss the problem of random measurement error in two variables when using a cross-lagged panel design. We apply the problem to the question of the causal direction between socio-economic status and subjective health, known also as health selection versus social causation. We plot the bias of the ratio between the social causation and the health selection coefficient as a function of the degree of measurement error in subjective health and socio-economic status for different scenarios which might occur in practice. Using simulated data we give an example of a Bayesian model for the treatment of measurement error that relies on external information about the degree of measurement error.
Cadmus permanent link: https://hdl.handle.net/1814/61513
Full-text via DOI: 10.1111/rssa.12129
ISSN: 0964-1998; 1467-985X
Keyword(s): Bias Cross-lagged panel design Health selection Integrated nested Laplace approximation Measurement error Social causation Nested Laplace Approximations Self-Rated Health Life-Course Selection Epidemiology Models Bias Perspectives Reliability Pathways
Grant number: FP7/313532/EU
Sponsorship and Funder information:
The research was funded by European Research Council grant 313532.
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