Estimates of the Demand for Food from Consumer Panel Data

Estimates of the Demand for Food from Consumer Panel Data
Title Estimates of the Demand for Food from Consumer Panel Data PDF eBook
Author Willard Robert Sparks
Publisher
Pages 280
Release 1961
Genre Consumers
ISBN

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Estimates of Elasticities for Food Demand in the United States

Estimates of Elasticities for Food Demand in the United States
Title Estimates of Elasticities for Food Demand in the United States PDF eBook
Author Jitendar S. Mann
Publisher
Pages 16
Release 1978
Genre Food consumption
ISBN

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Data for Food Demand Analysis

Data for Food Demand Analysis
Title Data for Food Demand Analysis PDF eBook
Author Alden Coe Manchester
Publisher
Pages 48
Release 1990
Genre Food consumption
ISBN

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Price-quantity-expenditure Relations for Food

Price-quantity-expenditure Relations for Food
Title Price-quantity-expenditure Relations for Food PDF eBook
Author University of Georgia. College of Agriculture. Experiment Stations
Publisher
Pages 88
Release 1966
Genre Consumers
ISBN

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Estimates of Income Elasticity from Consumer Panel Data

Estimates of Income Elasticity from Consumer Panel Data
Title Estimates of Income Elasticity from Consumer Panel Data PDF eBook
Author Jerry Glenn West
Publisher
Pages 276
Release 1958
Genre Consumption (Economics)
ISBN

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A Consumer Food Data System for 2030 and Beyond

A Consumer Food Data System for 2030 and Beyond
Title A Consumer Food Data System for 2030 and Beyond PDF eBook
Author National Academies of Sciences, Engineering, and Medicine
Publisher National Academies Press
Pages 231
Release 2020-09-20
Genre Medical
ISBN 0309670713

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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.

Consumer-Level Food Loss Estimates and Their Use in the Economic Research Service (ERS) Loss-Adjusted Food Availability Data (FAD)

Consumer-Level Food Loss Estimates and Their Use in the Economic Research Service (ERS) Loss-Adjusted Food Availability Data (FAD)
Title Consumer-Level Food Loss Estimates and Their Use in the Economic Research Service (ERS) Loss-Adjusted Food Availability Data (FAD) PDF eBook
Author Mary K. Muth
Publisher DIANE Publishing
Pages 123
Release 2011-04
Genre Reference
ISBN 1437981097

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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.