Using Scanner Data for Food Policy Research
Using Scanner Data for Food Policy Research is a practitioners' guide to using and interpreting scanner data obtained from stores and households in policy research. It provides practical advice for using the data and interpreting their results. It helps...
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Using Scanner Data for Food Policy Research is a practitioners' guide to using and interpreting scanner data obtained from stores and households in policy research. It provides practical advice for using the data and interpreting their results. It helps the reader address key methodological issues such as aggregation, constructing price indices, and matching the data to nutrient values. It demonstrates some of the key econometric and statistical applications of the data, including estimating demand systems for policy simulation, analyzing effects of food access on food choices, and conducting cost-benefit analysis of food policies.This guide is intended for early-career researchers, particularly those working with scanner data in agricultural and food economics, nutrition, and public health contexts.
Bibliographische Angaben
- Autoren: Mary K. Muth , Abigail Okrent , Chen Zhen
- Verlag: Academic Press
- EAN: 9780128145074
Autoren-Porträt von Mary K. Muth, Abigail Okrent, Chen Zhen
Mary K. Muth, PhD, is director of RTI International's Food, Nutrition, and Obesity Policy Research Program. Muth conducts research studies for government agencies and other organizations to analyse the impacts of policies, regulations, and other initiatives affecting food and agriculture. She specializes in the areas of nutrition, food security, food waste, food pricing, food labelling, food reformulation, and food safety. She has extensive experience analysing food availability, purchase, and consumption data and developing economic models of the impacts of food policy. Dr. Muth is also an adjunct associate professor in the Department of Agricultural and Resource Economics at North Carolina State University.Abigail M. Okrent, PhD, was a research economist at the US Department of Agriculture Economic Research Service where she investigates the role of food and farm policies on food choices and diet quality. Her current research uses household and retail scanner data to analyse determinants of food choice and its implications for health outcomes.Chen Zhen, PhD, is an associate professor of agricultural and applied economics at the University of Georgia. He holds the UGA Athletic Association professorship in Food Choice, Obesity, and Health Economics. He develops advanced and practical statistical models of consumer food purchase behaviour using scanner data to study policy issues such as sugar-sweetened beverage taxes, shelf nutrition labelling, food costs, and food assistance programs.
Inhaltsverzeichnis zu „Using Scanner Data for Food Policy Research “
1. What is Scanner Data and why is it Useful for Food Policy Research? 2. Sources of Scanner Data across the Globe 3. Label and nutrition data at the barcode level 4. Methodological Approaches in Using Scanner Data 5. Insights from past research using scanner data 6. Application: Estimating food demand systems using scanner data 7. Application: Measuring the food environment using scanner data 8. Application: Conducting cost-benefit analysis using scanner and label data
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