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Food security, poverty and nutrition policy analysis : statistical methods and policy applications.
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...
| Cote: | Libro Electrónico |
|---|---|
| Auteurs principaux: | , |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
Amsterdam, Netherlands :
Academic Press,
2021.
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| Édition: | Third edition. / |
| Sujets: | |
| Accès en ligne: | Texto completo |
Table des matières:
- Section I: Food security policy analysis
- Introduction to food security: concepts and measurement
- Implications of technological change, postharvest technology, and technology adoption for improved food security--application of t-statistic
- Effects of commercialization of agriculture (shift from traditional crop to cash crop) on food consumption and nutrition--application of chi-square statistic
- Effects of technology adoption and gender of household head: the issue, its importance in food security--application of Cramer's V and phi coefficient
- Changes in food consumption patterns: its importance to food security--application of one-way ANOVA
- Impact of market access on food security--application of factor analysis
- Section II: Nutrition policy analysis
- Impact of maternal education and care on preschoolers' nutrition--application of two-way ANOVA
- Indicators and causal factors of nutrition--application of correlation analysis
- Effects of individual, household, and community indicators on child's nutritional status--application of simple linear regression
- 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
- Predicting child nutritional status using related socioeconomic variables--application of discriminant function analysis
- Measurement and determinants of poverty--application of logistic regression models
- Classifying households on food security and poverty dimensions--application of K-Means cluster analysis
- Household care as a determinant of nutritional status--application of instrumental variable estimation
- Achieving an ideal diet--modeling with linear programming
- Food and nutrition program evaluation
- Multidimensional poverty and policy - Section IV: Technical appendices.