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Kelly Toppin

National Agricultural Statistics Service, United States Department of Agriculture



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Luca Sartore

National Institute of Statistical Sciences



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Clifford Spiegelman

Texas A&M University



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232 – From Ranch to Rain: Government Statistics on Agriculture and Weather

Design Weights and Calibration

Sponsor: Government Statistics Section
Keywords: Dual System Estimation; Weights; Census of Agriculture, Calibration

Kelly Toppin

National Agricultural Statistics Service, United States Department of Agriculture

Luca Sartore

National Institute of Statistical Sciences

Clifford Spiegelman

Texas A&M University

The USDA's National Agricultural Statistics Service (NASS) conducts the U.S. Census of Agriculture in years ending in 2 and 7. Population estimates from the census are adjusted for under-coverage, non-response and misclassification and calibrated to known population totals. These adjustment are reflected in weights that are attached to each responding unit. Calculating these weights has been a two-part procedure. First, one calculates initial (Dual System Estimation or DSE) weights that account for under-coverage, non-response and misclassification. In the second step, calibration is used to adjust the weights by forcing the weighted estimates obtained in the first step to match some known population totals. Recently, we developed a calibration algorithm (INCA) that produces integer calibrated weights as required in NASS publications. This paper considers combining the two steps of calculating weights into one. This new algorithm is based on a regularized constrained dual system estimation methodology, which combines capture-recapture and calibration (CaRC).

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