Food Security, Poverty and Nutrition Policy Analysis

Statistical Methods and Applications

Suresh Babu, Shailendra Gajanan

• Publisher: Academic Press
• Year: 2021
• eBook ISBN: 9780128204832
• Edition: 3
• Topic: Technology & Engineering
• Subtopic: Administrative Law
• Index: Technology & Engineering

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. - 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

Table of contents

• Cover
• Front Matter
• Table of Contents
• Copyright
• Dedication
• Praises from around the world for the third edition
• Preface
• Introduction
• List of Illustrations
• List of Tables
• Chapter 1 : Introduction to food security: concepts and measurement
• Chapter 2 : Implications of technological change, postharvest technology, and technology adoption for improved food security—application of t-statistic
• Chapter 3 : Effects of commercialization of agriculture (shift from traditional crop to cash crop) on food consumption and nutrition—application of chi-square statistic
• 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
• Chapter 5 : Changes in food consumption patterns: its importance to food security—application of one-way ANOVA
• Chapter 6 : Impact of market access on food security—application of factor analysis
• Chapter 7 : Impact of maternal education and care on preschoolers' nutrition—application of two-way ANOVA
• Chapter 8 : Indicators and causal factors of nutrition—application of correlation analysis
• Chapter 9 : Effects of individual, household, and community indicators on child's nutritional status—application of simple linear regression
• Chapter 10 : Maternal education and community characteristics as indicators of nutritional status of children—application of multivariate regression
• Chapter 11 : Predicting child nutritional status using related socioeconomic variables—application of discriminant function analysis
• Chapter 12 : Measurement and determinants of poverty—application of logistic regression models
• Chapter 13 : Classifying households on food security and poverty dimensions—application of K-Means cluster analysis
• Chapter 14 : Household care as a determinant of nutritional status—application of instrumental variable estimation
• Chapter 15 : Achieving an ideal diet—modeling with linear programming
• Chapter 16 : Food and nutrition program evaluation
• Chapter 17 : Multidimensional poverty and policy
• Appendix 1 : Introduction to software access and use
• Appendix 2 : Software information
• Appendix 3 : SPSS/PC+ environment and commands
• Appendix 4 : Data handling
• Appendix 5 : SPSS programming basics
• Appendix 6 : STATA—a basic tutorial
• Appendix 7 : Anthropometric indicators—computation and use
• Appendix 8 : Elements of matrix algebra
• Appendix 9 : Some preliminary statistical concepts
• Appendix 10 : Instrumental variable estimation
• Appendix 11 : Statistical tables
• References
• Index
• A