Instrumental-variable calibration estimation in survey sampling

dc.contributor.author Park, Seunghwan
dc.contributor.author Kim, Jae Kwang
dc.contributor.author Kim, Jae Kwang
dc.contributor.department Statistics
dc.date 2018-02-18T16:55:28.000
dc.date.accessioned 2020-07-02T06:56:36Z
dc.date.available 2020-07-02T06:56:36Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 2014
dc.date.issued 2014-04-01
dc.description.abstract <p>The prediction model, which makes effective use of auxiliary information available throughout the population, is often used to derive efficient estimation in survey sampling. To protect against failure of the assumed model, asymptotic design unbiasedness is often imposed in the prediction estimator. An instrumental-variable calibration estimator can be considered to achieve the model optimality among the class of calibration estimators that is asymptotically design unbiased. In this paper, we propose a new calibration estimator that is asymptotically equivalent to the optimal instrumental-variable calibration estimator. The resulting weights are no smaller than one and can be constructed to achieve the range restrictions. The proposed method can be extended to calibration estimation under two-phase sampling. Some numerical results are presented using the data from the 1997 National Resource Inventory of the United States.</p>
dc.description.comments <p>This article is published as Park, Seunghwan, and Jae Kwang Kim. "Instrumental-variable calibration estimation in survey sampling." Statistica Sinica (2014): 1001-1015. doi:<a href="http://dx.doi.org/10.5705/ss.2013.038" target="_blank">10.5705/ss.2013.038</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/stat_las_pubs/112/
dc.identifier.articleid 1109
dc.identifier.contextkey 10456239
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_pubs/112
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/90413
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/stat_las_pubs/112/2014_Kim_InstrumentalVariable.pdf|||Fri Jan 14 18:44:53 UTC 2022
dc.source.uri 10.5705/ss.2013.038
dc.subject.disciplines Design of Experiments and Sample Surveys
dc.subject.disciplines Multivariate Analysis
dc.subject.disciplines Statistics and Probability
dc.subject.keywords Estimators
dc.subject.keywords Calibration
dc.subject.keywords Instrumental variables estimation
dc.subject.keywords Statistical estimation
dc.subject.keywords Population estimates
dc.subject.keywords Statistical variance
dc.subject.keywords Modeling
dc.subject.keywords Estimation bias
dc.subject.keywords Instrumental variables
dc.subject.keywords Population size
dc.title Instrumental-variable calibration estimation in survey sampling
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication fdf914ae-e48d-4f4e-bfa2-df7a755320f4
relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
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