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
The Food Availability (FA) Data System tracks annual food and nutrient availability for many commodities. The FA data series overstates actual consumption, so the Loss-Adjusted FA data adjusts the FA data for non-edible food parts and food losses, incl., losses from farm to retail, at retail, and at the consumer level. This report proposes new consumer-level loss estimates for "cooking loss and uneaten food" of the edible share to replace those currently used in the Loss-Adjusted FA data and proposes their adoption. Overall, if the proposed loss estimates are used in the loss-adjusted series, the average Amer. would consume 17.3 pds. less each year, or 42 fewer calories per day, than suggested by the currently used loss estimates. A print on demand report.
The FAD System developed by the ERS tracks annual food and nutrient availability for many commodities. The FAD series in this system overstates actual consumption, so ERS has included an additional series, the Loss-Adjusted Food Availability (LAFA) data, to adjust the FAD for non-edible food parts and food losses, including losses from farm to retail, at retail, and at the consumer level. This report proposes new consumer-level loss estimates for "cooking loss and uneaten food" to replace those currently used in the LAFA data and proposes their adoption for the entire data span. The proposed loss percentages are calculated by subtracting food consumption estimates from food purchase or availability estimates for each food. A print on demand report.
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
The life story of a woman who refused to accept life in one of the traditional roles assigned to Black women profiles her background on a poor North Carolina farm and chronicles her road to success
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