Food Security, Poverty and Nutrition Policy Analysis: Statistical Methods and Applications
Autor Suresh Babu, Shailendra Gajananen Limba Engleză Hardback – 21 sep 2021
Finally, program evaluation methods which can be directly applied to the data on food security, nutrition, poverty indicators and causal factors are included. This unique, real-world data takes the reader through a "hands-on" approach toward econometric practice whereby they can also test the effects of policy and program interventions. Further, this is the first book to explore actual data with STATA and R statistical packages that also provides a line-by-line guide to the programming and interpretation of results.
- Provides a fully revised and updated tome on the latest technology, assessment advances and policy insights surrounding food security
- Combines case-studies with data-based analysis
- Includes self-contained, downloadable datasets, statistical appendices, computer programs, and interpretations of the results for policy applications
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Specificații
ISBN-13: 9780128204771
ISBN-10: 012820477X
Pagini: 786
Dimensiuni: 152 x 229 x 45 mm
Greutate: 1.21 kg
Ediția:3
Editura: ELSEVIER SCIENCE
ISBN-10: 012820477X
Pagini: 786
Dimensiuni: 152 x 229 x 45 mm
Greutate: 1.21 kg
Ediția:3
Editura: ELSEVIER SCIENCE
Cuprins
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: 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 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