Sample rotation theory with missing data
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This paper studies how the sample rotation method is applied to the case where item non-response occurs in surveys. The two cases where the response to the first occasion is complete or incomplete are considered. Using ratio imputation method, the estimators of the current population mean are proposed, which are valid under uniform response regardless of the model and under the ratio model regardless of the response mechanism. Under uniform response, the variances of the proposed estimators are derived. Interestingly, although their expressions are similar, the estimator for the case of incomplete response on the first occasion can have smaller variance than the one for the case of complete response on the first occasion under uniform response. The linearized jackknife variance estimators are also given. These variance estimators prove to be approximately design-unbiased under uniform response. It should be noted that similar property on variance estimators has not been discussed in literature.
Keywordssample rotation auxiliary variable item nonresponse ratio imputation jackknife variance estimator uniform response
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- 2.Feng, S. Y., Ni, J. X., Zou, G. H., Survey Sampling—Theory and Methods, Beijing: The Statistical Publishing House of China, 1998, 174–177.Google Scholar
- 6.Rao, J. N. K., Sitter, R. R., Jackknife variance estimation under imputation for missing survey data, Technical Report No. 214, Carleton: Carleton University, 1993.Google Scholar
- 12.Zou, G. H., Research on some sampling methods and inference problems in survey sampling, Ph. D. Thesis(in Chinese), Beijing: Institute of Systems Science, Chinese Academy of Sciences, 1995.Google Scholar