2010
DOI: 10.1016/j.jdeveco.2009.01.002
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How responsive is body weight to transitory income changes? Evidence from rural Tanzania

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 38 publications
(28 citation statements)
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“…Beegle, Dehejia, Gatti, and Krutikova (2008), in a study using longitudinal data in rural Tanzania, showed child labor to result in loss of schooling and marrying at a younger age. Evidence from rural Tanzania also points to large impacts of transitory income changes on body weight, especially of female children (Bengtsson, 2010).…”
Section: Policy Implicationsmentioning
confidence: 99%
“…Beegle, Dehejia, Gatti, and Krutikova (2008), in a study using longitudinal data in rural Tanzania, showed child labor to result in loss of schooling and marrying at a younger age. Evidence from rural Tanzania also points to large impacts of transitory income changes on body weight, especially of female children (Bengtsson, 2010).…”
Section: Policy Implicationsmentioning
confidence: 99%
“…To benchmark her results, Hidrobo (2014) refers to results from a study by Alderman et al (2006), who find that a drought in Zimbabwe is associated with a 0.58 decrease in children's height for age z-score. Finally, using rainfall variation in rural Tanzania as a proxy for income changes, Bengtsson (2010) finds that a transitory 10 percent drop in household income reduces the contemporary body weight of young children by 0.4 kg for girls and 0.2 kg for boys.…”
Section: Discussionmentioning
confidence: 99%
“…Their results for Sub Saharan Africa include Kenya, South Africa, and Mozambique indicating a (large) income elasticity ranging from 0.08 in South Africa to 0.41 in Kenya when estimating by 2SLS, but using weight-for-age z-scores instead of underweight. Similarly, Bengtsson (2010) finds that in Tanzania child weight, particularly of female children, is sensitive to income changes. The authors find that a 10% decrease in income result in a 0.5 kg decrease in the body weight of females up to age 4.…”
Section: Indirect Effects: Child Healthmentioning
confidence: 99%