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Nonresponse Adjusted Raking Ratio Estimation
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 Title & Authors
Nonresponse Adjusted Raking Ratio Estimation
Park, Mingue;
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 Abstract
A nonresponse adjusted raking ratio estimator that consists of weighting adjustment using estimated response probability and raking procedure is often used to reduce the nonresponse bias and keep the calibration property of the estimator. We investigated asymptotic properties of nonresponse adjusted raking ratio estimator and proposed a variance estimator. A simulation study is used to examine the performance of suggested estimators.
 Keywords
raking ratio estimator;logistic regression;propensity score;nonresponse;regression estimator;
 Language
English
 Cited by
 References
1.
Center for Health Policy Research (2011). Report 5: Weighting and Variance Estimation (CHIS 2009 Methodology Series), UCLA Center for Health Policy Research, Los Angeles, CA.

2.
Deming, W. E. and Stephan, F. F. (1940). On a least squares adjustment of a sampled frequency table when the expected marginal totals are known, Annals of Mathematical Statistics, 11, 427-444. crossref(new window)

3.
Deville, J. C. and Sarndal, C. E. (1992). Calibration estimators in survey sampling, Journal of the American Statistical Association, 87, 376-382. crossref(new window)

4.
Deville, J. C., Sarndal, C. E. and Sautory, O. (1993). Generalized raking procedures in survey sampling, Journal of the American Statistical Association, 88, 1013-1020. crossref(new window)

5.
Ekholm, A. and Laaksonen, S. (1991). Weighting via response modeling in the Finnish household budget survey, Journal of Official Statistics, 7, 325-337.

6.
Horvitz, D. G. and Thompson, D. J. (1952). A generalization of sampling without replacement from a finite universe, Journal of the American Statistical Association, 47, 663-685. crossref(new window)

7.
Isaki, C. T. and Fuller, W. A. (1982). Survey design under the regression superpopulation model, Journal of the American Statistical Association, 77, 89-96. crossref(new window)

8.
Kim, J. K. and Kim, J. J. (2007). Nonresponse weighting adjustment using estimated response probability, Canadian Journal of Statistics, 35, 501-514. crossref(new window)

9.
National Health and Nutrition Examination Survey (1996). Analytic and Reporting Guidelines: The Third National Health and Nutrition Examination Survey, NHANE III (1988-1994), National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD.

10.
National Health and Nutrition Survey (2010). Analytic Guidelines: The fourth NHNS, Ministry of Health and Welfare, Seoul, Korea.

11.
Rosenbaum, P. R. (1987). Model-based direct adjustment, Journal of the American Statistical Association, 82, 387-394. crossref(new window)

12.
Sarndal, C. E. and Lundstrom, S. (2005). Estimation in Surveys with Nonresponse, Wiley, New York.

13.
Sarndal, C. E., Swensson, B. and Wretman, J. H. (1989). The weighted residual technique for estimating the variance of the general regression estimator of the finite population total, Biometrika, 76, 527-537. crossref(new window)

14.
Sarndal, C. E., Swensson, B. and Wretman, J. H. (1992). Model Assisted Survey Sampling, Springer-Verlag, New York.