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http://dx.doi.org/10.5351/KJAS.2005.18.2.311

Weighted Hot-Deck Imputation in Farm and Fishery Household Economy Surveys  

Kim Kyu-Seong (Department of Statistics, University of Seoul)
Lee Kee-Jae (Department of Information Statistics, Korea National Open University)
Kim Jin (Field Management & Sampling Devision, Korea National Statistical Office)
Publication Information
The Korean Journal of Applied Statistics / v.18, no.2, 2005 , pp. 311-328 More about this Journal
Abstract
This paper deals with a treatment of nonresponse in farm and fishery household economy surveys in Korea. Since the samples in two surveys were selected by stratified multi-stage sampling and weighted sample means has been used to estimate the population means, we choose a weighted hot-deck imputation method as an appropriate method for two surveys. We investigate the procedure of the weighted hot-deck as well as an adjusted jackknife method for variance estimation. Through an empirical study we found that the method worked very well in both mean and variance estimation in two surveys. In addition, we presented a procedure of forming imputation class and formed four imputation classes for each survey and then compared them with analysis. As a result, we presented two most efficient imputation classes for two surveys.
Keywords
Decision tree model; Imputation class; Jackknife variance estimation;
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