Food security, poverty, and nutrition policy analysis : statistical methods and applications / edited by Suresh C. Babu and Prabuddha Sanyal.

"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 book [is] a substantially revised version of the manual ..."--Preface.

Includes bibliographical references (pages 381-396) and index.

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-statistic -- 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 one-way ANOVA -- 6. Impact of market access on 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 -- 13. Classifying households on food security and poverty dimensions : application of K-mean cluster analysis -- 14. Household care as a determinant of nutritional status : application of instrumental variable estimation -- 15. Achieving an ideal diet : modeling with linear programming -- 16. Food and nutrition program evaluation.

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- Statistic -- 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 commercialization of agriculture or 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 one-way ANOVA -- 6. Impact of market access on 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. Female 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 socio-economic variables - application of discriminant function analysis -- 12. Measurement and determinants of poverty - application of logistic regression models -- 13. Classifying households on food security and poverty dimensions - application of K-mean cluster analysis -- 14. Household care as a determinant of nutritional status - application of instrumental variable estimation -- 15. Achieving an ideal diet - modeling with linear programming -- Technical appendices -- Statistical tables.

Description based on print version record.