Publication: Tall Claims : Mortality Selection and the Height of Children in India
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Date
2011
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1873-6130 (Electronic)
1570-677X (Linking)
Published
2011
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Data from three rounds of nationally representative health surveys in India (1992/93, 1998/99 and 2005/06) are used to assess the impact of selective mortality on children's anthropometrics. The nutritional status of the child population was simulated under the counterfactual scenario that all children who died in the first three years of life were alive at the time of measurement. The simulations demonstrate that the difference in anthropometrics due to selective mortality would be large only if there were very large differences in anthropometrics between the children who died and those who survived. Differences of this size are not substantiated by the research on the degree of association between mortality and malnutrition. The study shows that although mortality risk is higher among malnourished children, selective mortality has only a minor impact on the measured nutritional status of children stratified by gender.
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Publication Tall Claims : Mortality Selection and the Height of Children(2011-10-01)Data from three rounds of nationally representative health surveys in India are used to assess the impact of selective mortality on children s anthropometrics. The nutritional status of the child population was simulated under the counterfactual scenario that all children who died in the first three years of life were alive at the time of measurement. The simulations demonstrate that the difference in anthropometrics due to selective mortality would be large only if there were very large differences in anthropometrics between the children who died and those who survived. Differences of this size are not substantiated by the research on the degree of association between mortality and malnutrition. The study shows that although mortality risk is higher among malnourished children, selective mortality has only a minor impact on the measured nutritional status of children or on that status distinguished by gender.Publication Month of Birth and Children’s Health in India(2009-01-01)The authors use data from three waves of the India National Family Health Survey to explore the relationship between the month of birth and the health outcomes of young children in India. They find that children born during the monsoon months have lower anthropometric scores compared with children born during the fall and winter months. The authors propose and test four hypotheses that could explain such a correlation. The results emphasize the importance of seasonal variations in affecting environmental conditions at the time of birth and determining the health outcomes of young children in India. Policy interventions that affect these conditions could effectively impact the health and achievement of these children, in a manner similar to nutrition and micronutrient supplementation programs.Publication The Effect of Height on Earnings(World Bank, Washington, DC, 2017-11)This study investigates the degree to which the association of height and earnings in Pakistan is independent of other cognitive and socioemotional skills. While taller workers are regularly observed to earn more, they commonly have higher cognitive ability. Thus, there is debate concerning the independent contribution of stature. The study explores the relationship between height and earnings when a measure of cognitive ability -- performance on Raven's matrices -- and an index of socioemotional capacity are included. The study finds that there is only modest attenuation of the coefficient of height—treated as endogenous or exogenous—when these additional indicators of human capital are included.Publication Assessing Sector Performance and Inequality in Education : Streamlined Analysis with ADePT Software(World Bank, 2011-06-30)This book gathers in one volume all the information related to Automated DEC [Development Economics - Vice Presidency at the World Bank] Poverty Tables (ADePT) Edu, the software platform created by the World Bank for reporting and analyzing education indicators and education inequality. It includes a primer on the availability of education data, an operating manual for using the ADePT software, a technical explanation of all the education indicators ADePT generates, and an overview of global education inequality using ADePT Edu. Chapter one is an introduction to ADePT Edu. It describes its origin and intended use and familiarizes readers with educational statistics. Chapter two is intended for users unfamiliar with the different datasets that contain education statistics and household-level data that contain information on education. Chapter three is a step-by-step technical guide for potential users. In addition to identifying the hardware and operating system requirements, it provides graphic examples of each of the steps needed to install and operate the software. Chapter four describes the outputs of ADePT and the definitions of all the indicators it generates. Chapter five provides a global and regional overview of education inequality, using ADePT Edu outputs obtained from household survey data. It analyzes inequality in school participation, progression, and attainment. Chapter 5 also illustrates how ADePT Edu can be used to readily analyze data from any household survey, a feature that makes this software unique. 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