Disentangling age, period, and cohort effects in explaining health trends is crucial to assess future prevalences of health disorders. The identification problem -- age, period, and cohort effects are perfectly linearly related -- is tackled by modeling cohort and period effects using lifetime...

The paper focuses on changes in the prevalence of disability at older ages in the Netherlands during the nineteen-nineties. Disability is characterized by two self-reported indicators of mild and severe disability and two self-reported and objectivemeasures of functional limitations. Age,...

The paper presents an approach which thoroughly assesses the role of early life and contemporaneous macro-conditions in explaining health at older ages. In particular, we investigate the role of exposure to infectious diseases and economic conditions during infancy and childhood, as well as the...

The paper presents an approach which thoroughly assesses the role of early life and contemporaneous macro-conditions in explaining health at older ages. In particular, we investigate the role of exposure to infectious diseases and economic conditions during infancy and childhood, as well as the...

The paper presents an approach which thoroughly assesses the role of early life and contemporaneous macro-conditions in explaining health at older ages. In particular, we investigate the role of exposure to infectious diseases and economic conditions during infancy and childhood, as well as the...

Disentangling age, period, and cohort effects in explaining health trends is crucial to assess future prevalences of health disorders. The identification problem - age, period, and cohort effects are perfectly linearly related - is tackled by modeling cohort and period effects using lifetime...

The paper presents an approach which thoroughly assesses the role of early life and contemporaneous macro-conditions in explaining health at older ages. In particular, we investigate the role of exposure to infectious diseases and economic conditions during infancy and childhood, as well as the...

Disentangling age, period, and cohort effects in explaining health trends is crucial to assess future prevalences of health disorders. The identification problem -- age, period, and cohort effects are perfectly linearly related -- is tackled by modeling cohort and period effects using lifetime...