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2nd Edition
Contents:
  1. SearchWorks Catalog
  2. Citation Information
  3. Food security, poverty and nutrition policy analysis | FPMU Bangladesh Website
  4. Stanford Libraries
  5. [PDF] Food Security, Poverty and Nutrition Policy Analysis: Statistical Methods and Applications

Pascal Wallisch.


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Alex Fornito. Markus Keller. Michael D. Morris W. Marc Kery. Home Contact us Help Free delivery worldwide.

SearchWorks Catalog

Free delivery worldwide. Bestselling Series. Harry Potter. Popular Features. New Releases. Description Food insecurity, the lack of access at all times to the food needed for an active and healthy life, continues to be a growing problem as populations increase while the world economy struggles.

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Formulating effective policies for addressing these issues requires thorough understanding of the empirical data and application of appropriate measurement and analysis of that information. Food Security, Poverty and Nutrition Policy Analysis, Second Edition has been revised and updated to include hands-on examples and real-world case studies using the latest datasets, tools and methods.

Providing a proven framework for developing applied policy analysis skills, this book is based on over 30 years of food and nutrition policy research at the International Food Policy Research Institute and has been used worldwide to impart the combined skills of statistical data analysis, computer literacy and their use in developing policy alternatives. This book provides core information in a format that provides not only the concept behind the method, but real-world applications giving the reader valuable, practical knowledge.

Citation Information

Product details Format Hardback pages Dimensions x x Other books in this series. Add to basket. Whisky Inge Russell. Plant Systematics Michael G Simpson.

Reflexive Agricultural and Food Policy. Analysis and Practice

Principles of Project Finance E. Herpetology Laurie J. Neuroeconomics Paul W.

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Food security, poverty and nutrition policy analysis | FPMU Bangladesh Website

Statistical Mechanics R. Bioprocess Engineering Principles Pauline M. Ethical Justice Brent E. Intermolecular and Surface Forces Jacob N. The Science of Grapevines Markus Keller.

Stanford Libraries

Animal Behavior Michael D. 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.

[PDF] Food Security, Poverty and Nutrition Policy Analysis: Statistical Methods and Applications

Om boka. 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. 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 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-mean 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.