Food Security, Poverty and Nutrition Policy Analysis: Statistical Methods and Applications, Third Edition combines statistical data analysis and computer literacy, applying the results to develop policy alternatives through a series of statistical methods for real world food insecurity, malnutrition and poverty problems. The book presents the latest uses of statistical methods for policy analysis using the open source statistical environment R, in addition to having the original Stata files and applications. A new chapter on obesity brings in new datasets for analysis to effectively demonstrate the use of such data for addressing policy issues.
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.
1. Introduction - p. Page ix 2. List of Illustrations - p. Page xxi 3. List of Tables - p. Page xxii 4. Chapter 1 : Introduction to food security: concepts and measurement - p. Page xxii 5. Chapter 2 : Implications of technological change, postharvest technology, and technology adoption for improved food security—application of t-statistic - p. Page 26 6. Chapter 3 : Effects of commercialization of agriculture (shift from traditional crop to cash crop) on food consumption and nutrition—application of chi-square statistic - p. Page 66 7. Chapter 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 - p. Page 104 8. Chapter 5 : Changes in food consumption patterns: its importance to food security—application of one-way ANOVA - p. Page 132 9. Chapter 6 : Impact of market access on food security—application of factor analysis - p. Page 168 10. Chapter 7 : Impact of maternal education and care on preschoolers' nutrition—application of two-way ANOVA - p. Page 218 11. Chapter 8 : Indicators and causal factors of nutrition—application of correlation analysis - p. Page 258 12. Chapter 9 : Effects of individual, household, and community indicators on child's nutritional status—application of simple linear regression - p. Page 294 13. Chapter 10 : Maternal education and community characteristics as indicators of nutritional status of children—application of multivariate regression - p. Page 334 14. Chapter 11 : Predicting child nutritional status using related socioeconomic variables—application of discriminant function analysis - p. Page 378 15. Chapter 12 : Measurement and determinants of poverty—application of logistic regression models - p. Page 432 16. Chapter 13 : Classifying households on food security and poverty dimensions—application of K-Means cluster analysis - p. Page 492 17. Chapter 14 : Household care as a determinant of nutritional status—application of instrumental variable estimation - p. Page 526 18. Chapter 15 : Achieving an ideal diet—modeling with linear programming - p. Page 555 19. Chapter 16 : Food and nutrition program evaluation - p. Page 573 20. Chapter 17 : Multidimensional poverty and policy - p. Page 597 21. Appendix 1 : Introduction to software access and use - p. Page 615 22. Appendix 2 : Software information - p. Page 620 23. Appendix 3 : SPSS/PC+ environment and commands - p. Page 622 24. Appendix 4 : Data handling - p. Page 631 25. Appendix 5 : SPSS programming basics - p. Page 639 26. Appendix 6 : STATA—a basic tutorial - p. Page 653 27. Appendix 7 : Anthropometric indicators—computation and use - p. Page 662 28. Appendix 8 : Elements of matrix algebra - p. Page 668 29. Appendix 9 : Some preliminary statistical concepts - p. Page 673 30. Appendix 10 : Instrumental variable estimation - p. Page 677 31. Appendix 11 : Statistical tables - p. Page 684 32. References - p. Page 692 33. Index - p. Page 692
Food Security, Poverty and Nutrition Policy Analysis: Statistical Methods and Applications, Third Edition combines statistical data analysis and computer literacy, applying the results to develop policy alternatives through a series of statistical methods for real world food insecurity, malnutrition and poverty problems. The book presents the latest uses of statistical methods for policy analysis using the open source statistical environment R, in addition to having the original Stata files and applications. A new chapter on obesity brings in new datasets for analysis to effectively demonstrate the use of such data for addressing policy issues.
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.
1. Introduction - p. Page ix 2. List of Illustrations - p. Page xxi 3. List of Tables - p. Page xxii 4. Chapter 1 : Introduction to food security: concepts and measurement - p. Page xxii 5. Chapter 2 : Implications of technological change, postharvest technology, and technology adoption for improved food security—application of t-statistic - p. Page 26 6. Chapter 3 : Effects of commercialization of agriculture (shift from traditional crop to cash crop) on food consumption and nutrition—application of chi-square statistic - p. Page 66 7. Chapter 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 - p. Page 104 8. Chapter 5 : Changes in food consumption patterns: its importance to food security—application of one-way ANOVA - p. Page 132 9. Chapter 6 : Impact of market access on food security—application of factor analysis - p. Page 168 10. Chapter 7 : Impact of maternal education and care on preschoolers' nutrition—application of two-way ANOVA - p. Page 218 11. Chapter 8 : Indicators and causal factors of nutrition—application of correlation analysis - p. Page 258 12. Chapter 9 : Effects of individual, household, and community indicators on child's nutritional status—application of simple linear regression - p. Page 294 13. Chapter 10 : Maternal education and community characteristics as indicators of nutritional status of children—application of multivariate regression - p. Page 334 14. Chapter 11 : Predicting child nutritional status using related socioeconomic variables—application of discriminant function analysis - p. Page 378 15. Chapter 12 : Measurement and determinants of poverty—application of logistic regression models - p. Page 432 16. Chapter 13 : Classifying households on food security and poverty dimensions—application of K-Means cluster analysis - p. Page 492 17. Chapter 14 : Household care as a determinant of nutritional status—application of instrumental variable estimation - p. Page 526 18. Chapter 15 : Achieving an ideal diet—modeling with linear programming - p. Page 555 19. Chapter 16 : Food and nutrition program evaluation - p. Page 573 20. Chapter 17 : Multidimensional poverty and policy - p. Page 597 21. Appendix 1 : Introduction to software access and use - p. Page 615 22. Appendix 2 : Software information - p. Page 620 23. Appendix 3 : SPSS/PC+ environment and commands - p. Page 622 24. Appendix 4 : Data handling - p. Page 631 25. Appendix 5 : SPSS programming basics - p. Page 639 26. Appendix 6 : STATA—a basic tutorial - p. Page 653 27. Appendix 7 : Anthropometric indicators—computation and use - p. Page 662 28. Appendix 8 : Elements of matrix algebra - p. Page 668 29. Appendix 9 : Some preliminary statistical concepts - p. Page 673 30. Appendix 10 : Instrumental variable estimation - p. Page 677 31. Appendix 11 : Statistical tables - p. Page 684 32. References - p. Page 692 33. Index - p. Page 692
