Statistical Challenges in Combining Survey and Auxiliary Data to Produce Official Statistics

Boryan, C., Z. Yang, R. Mueller, and M. Craig. 2011. “Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program.” Geocarto International 26(5): 341–358. DOI: https://doi.org/10.1080/10106049.2011.562309.10.1080/10106049.2011.562309Search in Google Scholar

Cruze, N.B., A.L. Erciulescu, B. Nandram, W.J. Barboza, and L.J. Young. 2019. “Producing Official County-Level Agricultural Estimates in the United States: Needs and Challenges.” Statistical Science 34(2): 301–316. DOI: https://doi.org/10.1214/18-STS687.10.1214/18-STS687Search in Google Scholar

Cruze, N.B., A.L. Erciulescu, H. Benecha, V. Bejleri, B. Nandram, and L.J. Young. 2018. “Toward an Updated Publication Standard for Official County-Level Crop Estimates.” Joint Statistical Meetings Proceedings. Government Statistics Section. Alexandria, VA: American Statistical Association. 1576–1585. Available at: https://www.nass.usda.gov/Education_and_Outreach/Reports,_Presentations_and_Conferences/reports/conferences/JSM-2018/Toward_an_updated_publication_standard_for_official_county-level_crop_estimates.pdf(accessed September 2019).Search in Google Scholar

Erciulescu, A.L., N.B. Cruze, and B. Nandram. 2018. “Benchmarking a Triplet of Official Statistics.” Environmental and Ecological Statistics 25: 523–547. DOI: https://doi.org/10/1007/s10651-018-0416-4.10.1007/s10651-018-0416-4Search in Google Scholar

Erciulescu, A.L., N.B. Cruze, and B. Nandram. 2019. “Model-Based County-Level Crop Estimates Incorporating Auxiliary Sources of Information.” Journal of the Royal Statistical Society, Series A 182: 283–303. DOI: https://doi.org/10/1111/rssa.12390.10.1111/rssa.12390Search in Google Scholar

Fay, R.E. and R.A. Herriot. 1979. “Estimates of income for small places: an application of James-Stein procedures to census data.” Journal of the American Statistical Association 74(366a): 269–277. DOI: https://doi.org/10.1080/01621459.1979.10482505.10.1080/01621459.1979.10482505Search in Google Scholar

Fuller, W.A. and J.J. Goyeneche. 1998. “Estimation of the state variance component.” Unpublished manuscript.Search in Google Scholar

Gelman, A. and D.B. Rubin. 1992. “Inference from iterative simulation using multiple sequences.” Statistical Science 7: 457–511. DOI: https://doi.org/10.1214/ss/1177011136.10.1214/ss/1177011136Search in Google Scholar

Geweke, J. 1992. “Evaluating the accuracy of sampling-based approaches to calculating posterior moments.” In Bayesian Statistics 4, edited by J.M. Bernado, J.O. Berger, A.P. Dawid, and A.F.M. Smith. Oxford, UK: Clarendon Press.10.21034/sr.148Search in Google Scholar

Kennedy, C., A. Mercer, S. Keeter, N. Hatley, K. McGeeney, and A. Gimenez. 2016. “Evaluating Online Nonprobability Surveys,” Pew Research Center. Available at: https://www.pewresearch.org/methods/2016/05/02/evaluating-online-nonprobability-surveys/ (accessed September 2019).Search in Google Scholar

Kim, J.K., Z. Wang, Z. Zhu, and N.B. Cruze. 2018. “Combining Survey and Non-Survey Data for Improved Sub-Area Prediction Using a Multi-Level Model.” Journal of Agricultural, Biological, and Environmental Statistics 23(2): 175–189. DOI: https://doi.org/10.1007/s13253-018-0320-2.10.1007/s13253-018-0320-2Search in Google Scholar

Marker, D. 2016. “Presentation to National Academy of Sciences Panel on Crop Estimates.” Unpublished presentation. National Academy of Sciences report. Available at: https://www.nap.edu/catalog/24892/improving-crop-estimates-by-integrating-multiple-data-sources (accessed September 2019).Search in Google Scholar

National Academies of Sciences, Engineering, and Medicine. 2017. “Improving Crop Estimates by Integrating Multiple Data Sources,” Washington, DC: The National Academies Press. DOI: https://doi.org/10.17226/24892.10.17226/24892Search in Google Scholar

Parsons, J. 1996. “Estimating the Coverage of Farm Service Agency Crop Acreage Totals,” USDA NASS Research Report, SRB-96-02. Available at: https://www.nass.usda.gov/Education_and_Outreach/Reports,_Presentations_and_Conferences/Survey_Reports/Estimating\%20the\%20Coverage\%20of\%20Farm\%20Service\%20Agency\%20Crop\%20Acreage\%20Totals.pdf (accessed September 2019).Search in Google Scholar

Plummer, M., A. Stukalov, and M. Denwood. 2018. “Bayesian Graphical Models using MCMC,” Version 4–8. Available at: https://cran.r-project.org/web/packages/rjags/rjags.pdf (accessed September 2019).Search in Google Scholar

Rao, J.N.K. and I. Molina. 2015. Small Area Estimation. 2nd ed. Hoboken: Wiley.10.1002/9781118735855Search in Google Scholar

Torabi, M. and J.N.K. Rao. 2014. “On small area estimation under a sub-area level model.” Journal of Multivariate Analysis 127: 36–55. DOI: https://doi.org/10.1016/j.jmva.2014.02.001.10.1016/j.jmva.2014.02.001Search in Google Scholar

USDA FSA. 2019. “United States Department of Agriculture Farm Service Agency: ARC/PLC Program.” Available at: https://www.fsa.usda.gov/programs-and-services/arcplc_program/index (accessed September 2019).Search in Google Scholar

USDA NASS. 2016a. “CropScape and Cropland Data Layer.” Available at: https://www.nass.usda.gov/Research\_and\_Science/Cropland/SARS1a.php (accessed September 2019).Search in Google Scholar

USDA NASS. 2016b. “QuickStats.” Available at: https://quickstats.nass.usda.gov/ (accessed September 2019).Search in Google Scholar

USDA NASS APS. 2018. “Crops/Stocks Agricultural Survey.” Available at: https://www.nass.usda.gov/Surveys/Guide\_to\_NASS\_Surveys/Crops\_Stocks/in-dex.php (accessed September 2019).Search in Google Scholar

USDA NASS CAPS. 2018. “County Agricultural Production.” Available at: https://www.nass.usda.gov/Surveys/Guide_to_NASS_Surveys/County_Agricultural_Production/index.php (accessed September 2019).Search in Google Scholar

USDA NASS CDL. 2018. “CropScape and Cropland Data Layers – FAQs.” Available at: https://www.nass.usda.gov/Research_and_Science/Cropland/sarsfaqs2.php (accessed September 2019).Search in Google Scholar

USDA RMA. 2019. “United States Department of Agriculture Risk Management Agency: FCIC.” Available at: https://www.rma.usda.gov/Federal-Crop-Insurance-Corporation (accessed September 2019).Search in Google Scholar