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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
  • Stefan Lang
Chapter

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 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Notes

Acknowledgments

We would like to thank Monica Das Gupta, Davic Sahn, Paul Schultz, Amartya Sen, and Lisa Smitz as well as participants at workshops in Munich, Tübingen, IFPRI, and Göttingen for helpful comments and discussion. Funding from the German Research Foundation is gratefully acknowledged. We also thank the IIPS for giving us access to the district location of households.

References

  1. Agarwal, B. (1994). A field of one’s own, Cambridge University Press.Google Scholar
  2. Basu, A.M. (1992). Culture, the Status of Women, and Demographic Behavior, Oxford University Press.Google Scholar
  3. Basu, A.M. & Jeffery, R. (1996). Girl’s Schooling, Women’s Autonomy and Fertility Change in South Asia, Sage.Google Scholar
  4. Belitz, C., Brezger, A., Kneib, T. & Lang, S. (2009). BayesX Manuals.Google Scholar
  5. Belitz, C. & Lang, S. (2008). Simultaneous selection of variables and smoothing parameters in structured additive regression models. Computational Statistics and Data Analysis 53: 61–81.MATHCrossRefGoogle Scholar
  6. Brezger, A. & Lang, S. (2006). Generalized structured additive regression based on Bayesian P-splines. Computational Statistics and Data Analysis 50: 967–991.CrossRefMathSciNetGoogle Scholar
  7. Caputo, A., Foraita, R., Klasen, S. & Pigeot, I. (2003). Undernutrition in Benin : An Analysis based on Graphical Models, Social Science and Medicine 56: 1677–1691.CrossRefGoogle Scholar
  8. Dreze, J. & Sen, A. (1995). India. Economic Development and Social Opportunity, Oxford University Press.Google Scholar
  9. Dreze, J. & Sen, A. (2001): India. Development and Participation, Oxford University Press.Google Scholar
  10. Dyson, T. & Moore, M. (1983). On Kinship Structure, Female Autonomy, and Demographic Behavior in India, Population and Development Review 9: 35–57.CrossRefGoogle Scholar
  11. Fahrmeir, L., Kneib, Th. & Lang, S. (2004). Penalized additive regression for space-time data: a Bayesian perspective. Statistica Sinica 14: 715–745.MathSciNetGoogle Scholar
  12. Fahrmeir, L., Kneib, T. & Lang, S. (2009). Regression. Modelle, Methoden und Anwendungen, Springer–Verlag.Google Scholar
  13. Fahrmeir, L. & Tutz, G. (2001). Multivariate statistical modelling based on generalized linear models, Springer–Verlag, New York.MATHGoogle Scholar
  14. Filmer, D. & Pritchett, L. (1998). Estimating Wealth Effects without Expenditure Data – Tears: An Application to Educational Enrollments in States of India, World Bank Policy Research Working Paper No. 1994, Development Economics Research Group.Google Scholar
  15. International Institute for Population Sciences (1998). National Family Health Survey (NFHS-2), 1998-99, IIPS. Mumbai, India.Google Scholar
  16. International Institute for Population Sciences (2000). National Family Health Survey (NFHS-2), 1998-99, IIPS. Mumbai, India.Google Scholar
  17. Harttgen, K. & Misselhorn, M. (2006). A Mulitlevel Approach to Explain Child Mortality and Undernutrition in South Asia and Sub-Saharan Africa, Discussion paper, University of Göttingen.Google Scholar
  18. Hurvich, C.M., Simonoff, J.S. & Tsai, C.L. (1998). Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion, Journal of the Royal Statistical Society B 60: 271–293.MATHCrossRefMathSciNetGoogle Scholar
  19. Kandala, N.B., Fahrmeir, L., Klasen, S. & Priebe, J. (2008). Geo-additive models of childhood undernutrition in three Sub-Saharan African countries. Population, Space and Place, 14.Google Scholar
  20. Kandala, N.B., Lang, S., Klasen, S. & Fahrmeir, L. (2001). Semiparametric Analysis of the Socio-Demographic and Spatial Determinants of Undernutrition in Two African Countries. Research in Official Statistics 1: 81–100.Google Scholar
  21. Kandala, N.B., Lang, S. & Klasen, S. (2001). Semiparametric Analysis of Childhood Undernutrition in Developing Countries. In George, E. (ed), Monographs of Official Statistics; Bayesian methods with applications to science, policy and official statistics.Google Scholar
  22. Klasen, S. (2008). Poverty, undernutrition, and child mortality: Some inter-regional puzzles and their implications for research and policy, Journal of Economic Inequality 6: 89–115.CrossRefGoogle Scholar
  23. Klasen, S. & Moradi, A. (2000). The Nutritional Status of Elites in India, Kenya and Zambia: An appropriate guide for developing reference standards for undernutrition?, Sonderforschungsbereich 386: Discussion Paper No. 217. Google Scholar
  24. Klasen, S. & Wink, C. (2002). A Turning Point in Gender Bias in Mortality? An Update on the Number of Missing Women, Population and Development Review 28: 285–312.CrossRefGoogle Scholar
  25. Klasen, S. & Wink, C. (2003). Missing Women: Revisiting the Debate, Feminist Economics 9: 263–299.CrossRefGoogle Scholar
  26. Lang, S. & Brezger, A. (2004). Bayesian P-splines. Journal of Computational and Graphical Statistics 13: 183–212.CrossRefMathSciNetGoogle Scholar
  27. Mishra, V.K., Lahiri, S. & Luther, N.Y. (1999). Child Nutrition in India. National Family Health Survey Subject Reports Number 14, International Institute for Population Sciences.Google Scholar
  28. Murthi, M., Guio, A.C., & Dreze, J. (1995). Mortality, Fertility, and Gender Bias in India: a District-Level Analysis. Population and Development Review, 21: 745–782.CrossRefGoogle Scholar
  29. de Onis, M., de Frongillo, E.A. & Blossner, M. (2000). Is malnutrition declining? An analysis of changes in levels of child malnutrition since 1980. Bulletin ot the World Health Organisation 78.Google Scholar
  30. Osmani, S.R. (1990). Nutrition and the Economics of Food: Implications of Some Recent Controversies. in Dreze, J. & Sen, A. (eds), The Political Economy of Hunger, Springer–Verlag, 10–13.Google Scholar
  31. Pelletier, D. (1994). The relationship between child anthropometry and mortality in developing countries, Journal of Nutrition 124: 2047S–2081S.Google Scholar
  32. Ruppert, D., Wand, M.P. & Carroll, R.J. (2003). Semiparametric Regression. Cambridge University Press.Google Scholar
  33. Sen, A. (1998). Development as Freedom, Knopf, New York.Google Scholar
  34. Sen, A. (2003). Missing Women-revisited, British Medical Journal, 327: 1297.CrossRefGoogle Scholar
  35. Sen, A. (2005). The argumentative Indian, Allyn Lane, London.Google Scholar
  36. Smith, L.C., Ramakrishnan, U., Haddad, L., Martorell, R. & Ndiaye, A. (2003). The Importance of Women’s Status for Child Nutrition in Developing Countries, IFPRI Research Report No. 131, International Food Policy Research Institute. Washington DC, USA.Google Scholar
  37. Smith, L.C. & Haddad, L. (1999). Explaining Child Malnutrition in Developing Countries: A Cross-Country Analysis, FCND Discussion Paper No. 60, Food Consumption and Nutrition Division, International Food Policy Research Institute, USA.Google Scholar
  38. Svedberg, P. (2002). Hunger in India- Facts and Challenges, Little Magazine.Google Scholar
  39. UNICEF (1998). The State of the World’s Children. Focus on Nutrition, Oxford University Press.Google Scholar
  40. WHO (2002). Global Database on Child Growth and Malnutrition, WHO, Department of Nutrition for Health and Development.Google Scholar
  41. WHO (2006). WHO Child Growth Standards based on length/height, weight, and age, Acta Paediatrica Supplement 450: 76–85.Google Scholar
  42. World Bank (2001). Engendering Development, The World Bank, Washington DC.Google Scholar
  43. Wood, S.N. (2006). Generalized Additive Models: An Introduction with R, Chapman & Hall.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Christiane Belitz
    • 1
  • Judith Hübner
    • 2
  • Stephan Klasen
    • 3
  • Stefan Lang
    • 4
  1. 1.Institut für StatistikLudwig-Maximilians-Universität MünchenMünchenGermany
  2. 2.Institut für MathematikTechnische Universität MünchenMünchenGermany
  3. 3.Department of EconomicsUniversity of GöttingenGöttingenGermany
  4. 4.Department of StatisticsUniversity of InnsbruckInnsbruckAustria

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