Improving Crop Estimates by Integrating Multiple Data Sources
by National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Panel on Methods for Integrating Multiple Data Sources to Improve Crop Estimates, Nancy J. Kirkendall, Mary Ellen Bock
Description
The National Agricultural Statistics Service (NASS) is the primary statistical data collection agency within the U.S. Department of Agriculture (USDA). NASS conducts hundreds of surveys each year and prepares reports covering virtually every aspect of U.S. agriculture. Among the small-area estimates produced by NASS are county-level estimates for crops (planted acres, harvested acres, production, and yield by commodity) and for cash rental rates for irrigated cropland, nonirrigated cropland, and permanent pastureland. Key users of these county-level estimates include USDA’s Farm Services Agency (FSA) and Risk Management Agency (RMA), which use the estimates as part of their processes for distributing farm subsidies and providing farm insurance, respectively.
Improving Crop Estimates by Integrating Multiple Data Sources assesses county-level crop and cash rents estimates, and offers recommendations on methods for integrating data sources to provide more precise county-level estimates of acreage and yield for major crops and of cash rents by land use. This report considers technical issues involved in using the available data sources, such as methods for integrating the data, the assumptions underpinning the use of each source, the robustness of the resulting estimates, and the properties of desirable estimates of uncertainty.
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Marketing Information
https://www.nap.edu/24892
Copyright Information
Copyright year 2017
National Academies Press
The National Academies Press (NAP) publish the reports of the National Academies of Sciences, Engineering and Medicine. They published more than 200 books a year on a wide range of topics.
View all titlesBibliographic Information
- Publisher National Academies Press
- Publication Date July 2018
- Orginal LanguageEnglish
- ISBN/Identifier 9780309465298 / 030946529X
- Publication Country or regionUnited States
- FormatPaperback
- Primary Price 37 USD
- Pages117
- ReadershipProfessional and scholarly
- Publish StatusPublished
- Copyright Year2017
- Dimensions9 X 6 inches
- Reference Code101722624892
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