Adjusting for Misclassification: A Three-Phase Sampling Approach

Sang Hailin (), Lopiano Kenneth K. (), Abreu Denise A. (), Lamas Andrea C. (), Arroway Pam () and Young Linda J. ()
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Sang Hailin: Department of Mathematics, University of Mississippi, University, MS 38677, United States of America
Lopiano Kenneth K.: Roundtable Analytics, Research Triangle Park, NC 27709, United States of America
Abreu Denise A.: National Agricultural Statistics Service Research and Development, USDA, 1400 Independence Ave. SW, Room 6035, United States of America
Lamas Andrea C.: National Agricultural Statistics Service Research and Development, USDA, 1400 Independence Ave. SW, Room 6035, United States of America
Arroway Pam: EDUCAUSE, 282 Century Place, Ste 5000 Louisville, CO 80027, United States of America
Young Linda J.: National Agricultural Statistics Service Research and Development, USDA, 1400 Independence Ave. SW, Room 6035, United States of America

Journal of Official Statistics, 2017, vol. 33, issue 1, 207-222

Abstract: The United States Department of Agriculture’s National Agricultural Statistics Service (NASS) conducts the June Agricultural Survey (JAS) annually. Substantial misclassification occurs during the prescreening process and from field-estimating farm status for nonresponse and inaccessible records, resulting in a biased estimate of the number of US farms from the JAS. Here, the Annual Land Utilization Survey (ALUS) is proposed as a follow-on survey to the JAS to adjust the estimates of the number of US farms and other important variables. A three-phase survey design-based estimator is developed for the JAS-ALUS with nonresponse adjustment for the second phase (ALUS). A design-unbiased estimator of the variance is provided in explicit form.

Keywords: Estimation under the three-phase sampling design; nonresponse; unbiased estimator; variance estimation (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:33:y:2017:i:1:p:207-222:n:11

DOI: 10.1515/jos-2017-0011

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