Using Scanner Data for Food Policy Research
Language: English
Published by Elsevier Science & Technology, Academic Press, 2019
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 116.74
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Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - Neuware -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. Englisch.
Seller Inventory # 9780128145074
- Title
- Using Scanner Data for Food Policy Research
- Author
- Mary K. Muth
- Publisher
- Elsevier Science & Technology, Academic Press
- Publication year
- 2019
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0128145072
- ISBN 13
- 9780128145074
- Item weight
- 430 grams
- Dimensions
- 229x152x11 mm
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
Shawn A. Karns is a Senior Public Health Analyst in RTI International's Food, Nutrition, and Obesity Policy Research Program where she has developed extensive experience analysing store-based and household-based scanner data for food policy research. She has served as data manager and senior analyst on several studies using scanner data, including to analyse the effects of hypothetical restrictions on foods purchased using SNAP benefits; to estimate the costs of labelling and reformulating foods; and to assess the statistical properties of IRI store-based scanner data, household-based scanner data, and other product characteristics data.
"About the title" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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