Latent variable modeling comprises a suite of methodologies that infer unobserved constructs from observable indicators, thereby enabling researchers to quantify abstract phenomena across diverse ...

We consider censored structural latent variables models where some exogenous variables are subject to additive measurement errors. We demonstrate that overidentification conditions can be exploited to ...

Self-Rated Health (SRH) is becoming one of the most popular indicator of population health. Nevertheless, a limited understanding still remains about the elements to which individuals refer when ...