Food security, poverty, and nutrition policy analysis : statistical methods and applications /
edited by Suresh C. Babu and Prabuddha Sanyal.
- Burlington, Mass. : Academic Press, 2009.
- xix, 409 p. : ill., map ; 24 cm.
"This book is largely motivated by and based on three decades of food and nutrition policy research at the International Food Policy Research Institute. In the mid-nineties, the data based statistical methods were combined with selected case studies from IFPRI research on food and nutrition security issues to form a training manual ... This [is[ a substantially revised version of the manual ..." - - Preface Includes bibliographical references (p. [381]-396) and index. Contents Section I: Food security policy analysis - - 1. Introduction to food security : concepts and measurement - - 2. Implications of technological change, post-harvest technology and technology adoption for improved food security : application of t-statistics - - 3. Effects of commercialization of agriculture (shift from traditional crop to cash crop) on food consumption and nutrition : application of chi-square statistic - - 4. Effects of technology adoption and gender of household head : the issue, its importance in food security : application of Cramer's V and phi coefficient - - 5. Changes in food consumption patterns : the issue and its importance to food security : application of factor analysis - - Section II: Nutrition policy analysis - - 7. Impact of maternal education and care on preschoolers nutrition : application of two-way ANOVA - - 8. Indicators and causal factors of nutrition : application of correlation analysis - - 9. Effects of individual, household and community indicators on child's nutritional status : application of simple linear regression - - 10. Maternal education and community characteristics as indicators of nutritional status of children : application of multivariate regression - - Section III: Special topics on poverty, nutrition, and food policy analysis - - 11. Predicting child nutritional status using related socioeconomic variables : application of discriminant function analysis - - 12. Measurement and determinants of poverty : application of logistic regression models.