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portada Improving Crop Estimates by Integrating Multiple Data Sources

Improving Crop Estimates by Integrating Multiple Data Sources

Committee On National Statistics;Nancy J. Kirkendall;Mary Ellen Bock;Panel On Methods For Integrating Multiple Data Sources To Improve Crop Estimates;Engineering, And Medicine National Academies Of Sciences;Division Of Behavioral And Social Sciences And E (Autor) · National Academies Press · Tapa Blanda

Improving Crop Estimates by Integrating Multiple Data Sources - Committee on National Statistics;Nancy J. Kirkendall;Mary Ellen Bock;Panel on Methods for Integrating Multiple Data Sources to Improve Crop Estimates;Engineering, and Medicine National Academies of Sciences;Division of Behavioral and Social Sciences and E

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Reseña del libro "Improving Crop Estimates by Integrating Multiple Data Sources"

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. Table of ContentsFront MatterExecutive Summary1 Introduction2 A Vision of NASS in 20253 Multiple Data Sources for Crops: Challenges and Opportunities4 Sources of Data for Cash Rents5 Implementing the Vision and BeyondReferencesAppendix A: NASS County-Level Survey ProgramsAppendix B: Routine External Evaluation ProtocolAppendix C: Small-Area Modeling in Space and Time with Multiple Data SourcesAppendix D: Biographical Sketches of Panel Members and StaffCommittee on National Statistics

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