Using Scanner Data for Food Policy Research

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Download or read online Using Scanner Data for Food Policy Research PDF book by Mary K. Muth in ePUB, PDF or Kindle eBooks. Published by Academic Press in 12 October 2019 the book become immediate popular and critical acclaim in Business & Economics books with total hardcover page 342. Click Download Book button to get book file. Read some info about this book below.

  • Author : Mary K. Muth
  • Publisher : Academic Press
  • Release : 12 October 2019
  • ISBN : 9780128145470
  • Page : 342 pages
  • Language : English
  • Total View : 1843 Views
  • File Size : 51,8 Mb

Using Scanner Data for Food Policy Research Book PDF summary

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. Describe different types of scanner data, the types of information available in the data, and the vendors that offer these data Describe food-label data that can be appended to scanner data Identify key questions that researchers should consider when acquiring scanner and label data for food policy research Demonstrate how to use scanner data using tools from econometric and statistical analyses, including the limitations in interpreting results using the data Describe and resolve key methodological issues related to using the data to facilitate more rapid analyses Provide an overview of published literature as background for designing new studies Demonstrate key applications of the data for food policy research

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