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Forming Weighting Adjustment Cells for Unit-Nonresponse in Sample Surveys
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 Title & Authors
Forming Weighting Adjustment Cells for Unit-Nonresponse in Sample Surveys
Kim, Young-Won; Nam, Si-Ju;
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Weighting is a common form of unit nonresponse adjustment in sample surveys where entire questionnaires are missing due to noncontact or refusal to participate. A common approach computes the response weight as the inverse of the response rate within adjustment cells based on covariate information. In this paper, we consider the efficiency and robustness of nonresponse weight adjustment bated on the response propensity and predictive mean. In the simulation study based on 2000 Fishry Census in Korea, the root mean squared errors for assessing the various ways of forming nonresponse adjustment cell s are investigated. The simulation result suggest that the most important feature of variables for inclusion in weighting adjustment is that they are predictive of survey outcomes. Though useful, prediction of the propensity to response is a secondary. Also the result suggest that adjustment cells based on joint classification by the response propensity and predictor of the outcomes is productive.
Fishery census;bias;nonresponce adjustment cell;nonresponce weight;unbiased estimator;
 Cited by
Analysis of Missing Data Using an Empirical Bayesian Method, Korean Journal of Applied Statistics, 2014, 27, 6, 1003  crossref(new windwow)
김영원, 조선경 (1996). 표본조사에서 항목 무응답 대체 방법, <한국통계학회논문집>, 3, 145-159

류제복, 김영원, 박진우 (2002). <2002년 어가경제조사 표본설계>, 한국통계학회

Chapman, D. W., Bailey, L. and Kasprzyk, D. (1986). Nonresponse adjustment procedures at the U. S. Bureau of the Census, Survey Methodology, 12, 161-180

Kalton, G. and Kasprzyk, D. (1986). The treatment of missing survey data, Survey Methodology, 12, 1-16

Kish, L. (1992). Weighting for unequal, Journal of Official Statistics, 8, 183-200

Little, R. J. (1986). Survey nonresponse adjustments for estimates of means, International Statistical Re-view, 54, 139-157 crossref(new window)

Little. R. J. and Rubin, D. B. (2002). Statistical Analysis with Missing Data, 2nd Edition, John wiley & Sons, New York

Little, R. J. and Vartivarian, S. (2003). On weighting the rates in non-response weights, Statistics in Medicine, 22, 1589-1599 crossref(new window)

Little, R. J. and Vartivarian, S. (2005). Does weighting for nonresponse increase the variance of survey means?, Survey Methodology, 31, 161-168

Vartivarian, S. and Little, R. J. (2002). On the formation of weighting adjustment cells for unit nonresponse, In Proceeding of the Survey Research Methods Section, ASA

Vartivarian, S. and Little, R. J. (2003). Weighting adjustments for unit nonresponse with multiple outcome variables, The University of Michigan, Department of Biostatistics Working Paper Series