Research on use of auxiliary information in making official statistics in Japan

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We studied use of auxiliary variables to provide accurate official statistics given statistical resources. In particular, we proposed doubly protected regression random imputation, compared four bootstrap methods for stratified three-stage random sampling through simulation, and examined the structure of questions in the U.S. Economic Census. The results have been presented at the annual joint statistical meeting in Japan and published in refereed journals.