Instrumental variable estimation of the causal effect of hunger early in life on health later in life
Numerous studies have evaluated the effect of nutrition early in life on health much later in life by comparing individuals born during a famine to others. Nutritional intake is typically unobserved and endogenous, whereas famines arguably provide exogenous variation in the provision of nutrition. However, living through a famine early in life does not necessarily imply a lack of nutrition during that age interval, and vice versa, and in this sense the observed difference at most provides a qualitative assessment of the average causal effect of a nutritional shortage, which is the parameter of interest. In this paper we estimate this average causal effect on health outcomes later in life, by applying instrumental variable estimation, using data with self-reported periods of hunger earlier in life, with famines as instruments. The data contain samples from European countries and include birth cohorts exposed to various famines in the 20th century. We use two-sample IV estimation to deal with imperfect recollection of conditions at very early stages of life. The estimated average causal effects often exceed famine effects by a factor three.
Year of publication: |
2012
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Authors: | van den Berg, Gerard J. ; Pinger, Pia R. ; Schoch, Johannes |
Publisher: |
Mannheim : Zentrum für Europäische Wirtschaftsforschung (ZEW) |
Subject: | nutrition | famine | ageing | developmental origins | height | blood pressure | obesity | two-sample IV |
Saved in:
freely available
Series: | ZEW Discussion Papers ; 12-019 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 688728111 [GVK] hdl:10419/56031 [Handle] RePEc:zbw:zewdip:12019 [RePEc] |
Classification: | I12 - Health Production: Nutrition, Mortality, Morbidity, Substance Abuse and Addiction, Disability, and Economic Behavior ; J11 - Demographic Trends and Forecasts ; C21 - Cross-Sectional Models; Spatial Models ; c26 |
Source: |
Persistent link: https://www.econbiz.de/10010308274