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...

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...

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...