JSM 2004 - Toronto

Abstract #301109

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Activity Number: 260
Type: Topic Contributed
Date/Time: Tuesday, August 10, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #301109
Title: Mean Squared Error Estimation for the Coverage and Nonresponse-adjusted U.S. Census of Agriculture
Author(s): Matthew J. Fetter*+ and Phillip S. Kott
Companies: U.S. Department of Agriculture and National Agricultural Statistics Service
Address: , Washington, DC, 20250,
Keywords: calibration ; quasi-randomization model ; integerization ; smoothing
Abstract:

The National Agricultural Statistics Service weights the records on the Census of Agriculture to adjust for nonresponse and then conducts a second calibration step to account for the undercoverage of its census mailing list. After that, the nonresponse- and coverage-adjusted weights are integerized. Since they are in part based on sparse area samples, the indications used to determine the calibration targets are smoothed using components-of-variance modeling. We will outline how NASS is computing the mean squared error of its estimated census totals acknowledging these various sources of measurable error.


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Revised March 2004