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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. - 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
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.
This Modern Guide provides detailed theoretical and empirical insights into key areas of research in food economics. It takes a forward-looking perspective on how different actors in the food system shape the sustainability of food production, distribution, and consumption, as well as on major challenges to efficient and inclusive food systems.
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.
Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for collecting data for federal statistics. However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and for more detailed information at state and local levels. Innovations in Federal Statistics examines the opportunities and risks of using government administrative and private sector data sources to foster a paradigm shift in federal statistical programs that would combine diverse data sources in a secure manner to enhance federal statistics. This first publication of a two-part series discusses the challenges faced by the federal statistical system and the foundational elements needed for a new paradigm.
This report summarizes the U.S. Department of Agriculture Economic Research Service's Food Assistance and Nutrition Research Program (FANRP) activities and accomplishments in fiscal 2010, including newly awarded projects and recent publications. FANRP supports intramural and extramural research on a wide range of policy-relevant food assistance and nutrition topics. The three perennial program themes are: (1) Program Outcomes and Economic Well-Being of Participants; (2) Program Access and Economic Determinants of Participation; and (3) Program Dynamics and Efficiency. Within these broad themes, FANRP identifies priority areas for research emphasis annually. Charts and tables. This is a print on demand report.
Even as malnutrition in the form of hunger and obesity affect the health and well-being of millions of people worldwide, a significant amount of food is lost or wasted every day, in every country, and at every stage in the supply chain from the farm to the household. According to a 2011 estimate by the Food and Agriculture Organization of the United Nations (FAO), about one-third of food produced is lost or wasted globally. Beyond quantity estimates, however, less is known about the impacts on farmers, food prices, food availability, and environment of reducing food loss and waste. On October 17, 2018, the National Academies of Sciences, Engineering, and Medicine organized a workshop to examine key challenges that arise in reducing food loss and waste throughout the supply chain and discussed potential ways to address these challenges. This publication summarizes the presentations and discussions from the workshop.