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USDA's Economic Research Service (ERS) has purchased proprietary retail scanner data (InfoScan) since 2008 to examine food policy questions. To determine how representative the data are, this report compares the number of stores and sales revenue reported in the InfoScan data with the same information from other datasets.
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
In this paper we use sharp changes in gasoline prices to estimate the impact that short run changes in disposable income have on measures of consumer price sensitivity at the grocery store. We use weekly store level scanner data from 180 West Coast grocery stores for products (UPCs) in frequently purchased food categories. We find evidence that consumers adjust to higher gasoline prices by substituting within a category towards products that are on sale (i.e., on promotion): the fraction of purchases from sale items increases significantly with gasoline prices. The effect is generally stronger at stores serving lower income families. Additionally, we find that the quantity weighted price paid for products decreases when gasoline prices increase; consumers are able to save money on groceries by shifting purchases towards promotional items.
The Food, Conservation, and Energy Act of 2008 directed the U.S. Dept. of Agr. to conduct a 1-year study to assess the extent of areas with limited access to affordable and nutritious food, identify characteristics and causes of such areas, consider how limited access affects local populations, and outline recommend. to address the problem. This report presents the findings of the study, which include results from two conferences of national and internat. authorities on food deserts and a set of research studies. It also includes reviews of existing literature, a national-level assessment of access to large grocery stores and supermarkets, analysis of the economic and public health effects of limited access, and a discussion of existing policy interventions. Illus.
Patterns of food consumption and nutritional intake strongly affect the population's health and well-being. The Food Economics Division of USDA's Economic Research Service (ERS) engages in research and data collection to inform policy making related to the leading federal nutrition assistance programs managed by USDA's Food and Nutrition Service. The ERS uses the Consumer Food Data System to understand why people choose foods, how food assistance programs affect these choices, and the health impacts of those choices. At the request of ERS, A Consumer Food Data System for 2030 and Beyond provides a blueprint for ERS's Food Economics Division for its data strategy over the next decade. This report explores the quality of data collected, the data collection process, and the kinds of data that may be most valuable to researchers, policy makers, and program administrators going forward. The recommendations of A Consumer Food Data System for 2030 and Beyond will guide ERS to provide and sustain a multisource, interconnected, reliable data system.
For many Americans who live at or below the poverty threshold, access to healthy foods at a reasonable price is a challenge that often places a strain on already limited resources and may compel them to make food choices that are contrary to current nutritional guidance. To help alleviate this problem, the U.S. Department of Agriculture (USDA) administers a number of nutrition assistance programs designed to improve access to healthy foods for low-income individuals and households. The largest of these programs is the Supplemental Nutrition Assistance Program (SNAP), formerly called the Food Stamp Program, which today serves more than 46 million Americans with a program cost in excess of $75 billion annually. The goals of SNAP include raising the level of nutrition among low-income households and maintaining adequate levels of nutrition by increasing the food purchasing power of low-income families. In response to questions about whether there are different ways to define the adequacy of SNAP allotments consistent with the program goals of improving food security and access to a healthy diet, USDA's Food and Nutrition Service (FNS) asked the Institute of Medicine (IOM) to conduct a study to examine the feasibility of defining the adequacy of SNAP allotments, specifically: the feasibility of establishing an objective, evidence-based, science-driven definition of the adequacy of SNAP allotments consistent with the program goals of improving food security and access to a healthy diet, as well as other relevant dimensions of adequacy; and data and analyses needed to support an evidence-based assessment of the adequacy of SNAP allotments. Supplemental Nutrition Assistance Program: Examining the Evidence to Define Benefit Adequacy reviews the current evidence, including the peer-reviewed published literature and peer-reviewed government reports. Although not given equal weight with peer-reviewed publications, some non-peer-reviewed publications from nongovernmental organizations and stakeholder groups also were considered because they provided additional insight into the behavioral aspects of participation in nutrition assistance programs. In addition to its evidence review, the committee held a data gathering workshop that tapped a range of expertise relevant to its task.
Several changes in the United States over the past two decades have implications for diet, nutrition, and food safety, including patterns of food consumption that have produced an increase in overweight and obese Americans and threats to food safety from pathogens and bioterrorism. The changes raise a number of critical policy and research questions: How do differences in food prices and availability or in households' time resources for shopping and food preparation affect what people consume and where they eat? How do factors outside of the household, such as the availability of stores and restaurants, food preparation technology, and food marketing and labeling policies, affect what people are consuming? What effects have food assistance programs had on the nutritional quality of diets and the health of those served by the programs? Where do people buy and consume food and how does food preparation affect food safety? To address these and related questions, the Economic Research Service (ERS) of the U.S. Department of Agriculture (USDA) asked the Committee on National Statistics to convene a panel of experts to provide advice for improving the data infrastructure on food consumption and nutrition. The panel was charged to review data needs to support research and decision making for food and nutrition policies and programs in USDA and to assess the adequacy of the current data infrastructure and recommend enhancements to improve it. The primary basis for the panel's deliberations, given limited resources, was a workshop on Enhancing the Data Infrastructure in Support of Food and Nutrition Programs, Research, and Decision Making, which the panel convened on May 27-28, 2004. This report is based on the discussions at the workshop and the deliberations of the panel. The report outlines key data that are needed to better address questions related to food consumption, diet, and health; discusses the available data and some limitations of those data; and offers recommendations for improvements in those data. The panel was charged to consider USDA data needs for policy making and the focus of the report is on those needs.
To measure the overall healthfulness of Americans' food-at-home (FAH) purchases, USDA researchers created a purchase-to-plate "crosswalk" linking data between USDA data and household and retail scanner data. Substantial improvements in the healthfulness of Americans' FAH purchases would be needed to comply with Federal dietary guidance.