The intergenerational transmission of health in the United States: A latent variables analysis

Abstract Social scientists have long documented that many components of socioeconomic status such as income and education have strong ties across generations. However, health status, arguably a more critical component of welfare, has largely been ignored. We fill this void by providing the first estimates of the Intergenerational Health Association (IHA) that are explicitly based on a nonlinear latent variable model. We develop an estimation procedure for a nonlinear model with categorical outcomes in which the latent index is a mixed linear model and contains covariates that might not vary within cross‐sectional units. Adjusting for only age and gender, we estimate an IHA of 0.3 indic...

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