Determinants of the Socioeconomic and Spatial Pattern of Undernutrition by Sex in India: A Geoadditive Semi-parametric Regression Approach

Christiane Belitz, Judith Hübner, Stephan Klasen and Stefan Lang ()
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Christiane Belitz: Ludwig-Maximilians-Universität München, Institut für Statistik
Judith Hübner: Technische Universität München, Institut für Mathematik
Stephan Klasen: University of Göttingen, Department of Economics
Stefan Lang: University of Innsbruck, Department of Statistics

A chapter in Statistical Modelling and Regression Structures, 2010, pp 155-179 from Springer

Abstract: Abstract In this paper, we use geoadditive semiparametric regression models to study the determinants of chronic undernutrition of boys and girls in India in 1998/99. A particular focus of our paper is to explain the strong regional pattern in undernutrition and sex differences in determinants of undernutrition. We find that determinants associated with competition for household resources and cultural factors are more important for the nutrition of girls than boys, while boys’ nutrition reactsmore sensitively to nutrition and medical care access. With our models we are able to explain a large portion of the spatial pattern of undernutrition of boys and girls, but significant spatial patterns remain. We are also able to fully explain the spatial pattern of sex differences in undernutrition with our empirical model.

Keywords: Spatial Effect; Semiparametric Regression; National Family Health Survey; Linear Index; Uttar Pradesh (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2413-1_9

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DOI: 10.1007/978-3-7908-2413-1_9

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