NASS Research Reports
From United States Department of Agriculture, National Agricultural Statistics Service Bibliographic data for series maintained by AgEcon Search (). Access Statistics for this working paper series.
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- 343273: The Yield Forecasting Program of NASS

- Summary, Estimation, and Disclosure Methodology Branch, Methodology Division, National Agricultural Statistics Service
- 342465: Dealing with Messy Data (PowerPoint)

- Jeff Bailey
- 339101: Agriculture Counts -- The Founding and Evolution of the National Agricultural Statistics Service 1957-2007

- Rich Allen
- 338975: Irrigation Organizations 2019 Summary

- National Agricultural Statistics Service, Economic Research Service and Office of the Chief Economist
- 338742: Sampling Methods in Agriculture

- R. R Bosecker
- 338297: 2020 Local Food Marketing Practices Survey

- Tony Dorn
- 338295: Randomization-Assisted Model-Based Survey Sampling

- Phillip S. Kott
- 338294: Agricultural Production and Prices - 125 Years: A Historical Review

- National Agricultural Statistics Service
- 337557: Operational Test Using Weather Data to Forecast Corn Ear Weight, 1988

- Fred B. Warren and Gary Keough
- 335208: Album of Agricultural Graphics: Values Per Acre of Crops of the United States

- J. R. Dodge
- 333342: Introductory Theory for Sample Surveys

- Harold F. Huddleston
- 333339: A Training Course in Sampling Concepts for Agricultural Surveys

- Harold F. Huddleston
- 329779: On Calibration Weighting

- Phillip S. Kott
- 327250: Bayesian Small Area Models under Inequality Constraints with Benchmarking and Double Shrinkage

- Balgobin Nandram, Nathan B Cruze, Andreea L Erciulescu and Lu Chen
- 327249: The Farm Producer Survey: Unit and Item Nonresponse

- Linda J Young and Barbara R Rater
- 327248: Usability of the 2021 June Area Survey Prescreening Materials

- Heather Ridolfo
- 327247: Optimal Placement of Instructions and Definitions in Survey Questionnaires

- Heather Ridolfo and David Biagas
- 327246: 2019 Cognitive Testing of the Agricultural Labor Survey

- Heather Ridolfo and Kathy Ott
- 327245: 2019 Agricultural Labor Base and Overtime Hours Cognitive Testing Report

- Heather Ridolfo and Kathy Ott
- 327244: Behavior Coding of October 2018 Agricultural Labor Survey

- Joseph B Rodhouse, Heather Ridolfo, Emilola J Abayomi and David Biagas
- 327242: Behavior Coding of the April 2018 Agricultural Labor Survey

- Heather Ridolfo, David Biagas , Emilola J Abayomi and Joseph Rodhouse
- 327240: Modernizing the NASS Customer Experience: Findings from Virtual Focus Groups on the Respondent Portal Dashboard

- Joseph Rodhouse
- 327238: Respondents’ Reactions to Proposed Text Messaging

- Heather Ridolfo
- 327236: Reporting Contract Labor on the Agricultural Labor Survey

- Heather Ridolfo and Kathy Ott
- 327234: Cognitive Testing of the April 2018 Agricultural Labor Survey

- Heather Ridolfo and Kathy Ott
- 323939: Review of Chinese Crop Production Forecasting and Estimation Methodology

- Frederic A. Vogel
- 323938: Evaluating the Addition of Weather Data to Survey Data to Forecast Soybean Yields

- M. Denice McCormick and Thomas R. Birkett
- 323937: Characteristics of Directly Expanded Hog Data Outliers

- Scot Rumburg
- 323936: Forecasting Corn Ear Weight Using Surface Area and Volume Variables: A Final Report

- Fatu Wesley
- 322827: Behavior Coding of October 2017 Agricultural Labor Survey

- Heather Ridolfo, David Biagas, Emilola J. Abayomi and Joseph Rodhouse
- 322826: Subsampling of Nonrespondents in the 2017 Census of Agriculture

- Benjamin M. Reist, Joseph B. Rodhouse, Shane T. Ball and Linda J. Young
- 322825: Comparing Geographic Information System (GIS) Calculated Acreage to Farmer Reported Acreage Utilizing a Mobile Mapping Instrument

- Claire G. Boryan, Linda A. Lawson, Michael Hyman, Abreu, Denise, A., Michael W. Gerling and Rick Hardin
- 322824: Collecting Data from a Permanent Grid Sampling Frame via a Mobile Mapping Instrument

- Abreu, Denise, A., Linda A. Lawson, Michael Hyman, Rick Hardin and Michael Gerling
- 322822: NASS Infographics Usability Testing

- Heather Ridolfo
- 322821: Reductions in Reporting Errors in Total Acres Operated: Results from Multiphase Question Testing for the 2012 Census of Agriculture

- Zulma T. Riberas, Jaki S. McCarthy, Stephen C. Logan and HoaiNam N. Tran
- 322820: Area Frame Design for Agricultural Surveys

- Carrie Davies, Jim Cotter, Ray Roberts and Jack Nealon
- 322819: Results from the 2002 Classification Error Study

- Denise A. Abreu
- 322813: Collecting Market Hog Inventories: Are Weight Groups or Age Groups Better?

- Kathleen Ott and Dan Lofthus
- 322812: Prices Received Standardized Questionnaire Research Project

- Zulma T. Riberas
- 322811: Evaluation of the Use of Spatial Modeling to Improve County Yield Estimation

- Chad Crouse
- 322809: Analysis of the Relationship Between Survey Burden and Non-Response: If We Bother Them More, Are They Less Cooperative?

- Jaki Stanley McCarthy and Daniel G. Beckler
- 322808: Methodology for Small Area Estimation with Special Reference to a One-Number Agricultural Census and Confidentiality: Results for Selected Major Crops and States

- Daniel A. Griffith
- 322807: An Investigation of Incompleteness of List Frames in U.S. Agricultural Surveys

- Ray S. Chhikara, Floyd M. Spears and Charles R. Perry
- 322806: Evaluation of Phase 1 Screening for the 1996 Agricultural Resource Management Study

- Mark Apodaca and Jaki Stanley
- 322805: Within- and Between-Person Components of Variance for Nutrient Intakes in the United States, 1994

- Patricia M. Guenther and Phillip S. Kott
- 322803: Elimination in Linear Editing and Error Localization

- Stanley S. Weng
- 322802: Does a Familiar Face Increase Response? Using Consistent Interviewer Assignments over Multiple Survey Contacts

- Kathleen Ott
- 322801: Sample Allocation for Estimation of the Number of "Not on Mail List" (NML) Farms for the 2002 Census of Agriculture

- Raj S. Chhikara, Floyd M. Spears and Charles R. Perry
- 322800: Nevada Urban Equine Project

- Sue Benz, Don Gephart and Marty Owens
- 322799: A Compilation of PEDITOR Estimation Formulas

- Charles Day
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