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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… Read more
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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.
Early career researchers, typically at 1st year PhD level, particularly those working with scanner data in agricultural and food economics, nutrition, and public health contexts. Some policymakers and analysts, particularly from NGOs
1. What is Scanner Data and why is it Useful for Food Policy Research? 2. Sources of Scanner Data across the Globe3. Label and nutrition data at the barcode level4. Methodological Approaches in Using Scanner Data5. Insights from past research using scanner data6. Application: Estimating food demand systems using scanner data7. Application: Measuring the food environment using scanner data8. Application: Conducting cost-benefit analysis using scanner and label data
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