Nutrition Economics: Principles and Policy Applications establishes the core criteria for consideration as new policies and regulations are developed, including application-based principles that ensure practical, effective implementation of policy. From the economic contribution of nutrition on quality of life, to the costs of malnutrition on society from both an individual and governmental level, this book guides the reader through the factors that can determine the success or failure of a nutrition policy. Written by an expert in policy development, and incorporating an encompassing view of the factors that impact nutrition from an economic standpoint (and their resulting effects), this book is unique in its focus on guiding other professionals and those in advanced stages of study to important considerations for correct policy modeling and evaluation. As creating policy without a comprehensive understanding of the relevant contributing factors that lead to failure is not an option, this book provides a timely reference.

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.