dc.contributor.author | Bjørnstad, Jan F. | |
dc.date.accessioned | 2011-11-22T14:53:04Z | |
dc.date.available | 2011-11-22T14:53:04Z | |
dc.date.issued | 2005 | |
dc.identifier.issn | 1892-753x | |
dc.identifier.uri | http://hdl.handle.net/11250/180287 | |
dc.description.abstract | Abstract:
Multiple imputation is a method specifically designed for variance estimation in the presence of
missing data. Rubin’s combination formula requires that the imputation method is “proper” which
essentially means that the imputations are random draws from a posterior distribution in a Bayesian
framework. In national statistical institutes (NSI’s) like Statistics Norway, the methods used for
imputing for nonresponse are typically non-Bayesian, e.g., some kind of stratified hot-deck. Hence,
Rubin’s method of multiple imputation is not valid and cannot be applied in NSI’s. This paper deals
with the problem of deriving an alternative combination formula that can be applied for imputation
methods typically used in NSI’s and suggests an approach for studying this problem. Alternative
combination formulas are derived for certain response mechanisms and hot-deck type imputation
methods.
Keywords: Multiple imputation, survey sampling, nonresponse, hot-deck imputation | no_NO |
dc.language.iso | eng | no_NO |
dc.publisher | Statistics Norway, Research Department | no_NO |
dc.relation.ispartofseries | Discussion Papers;No. 421 | |
dc.subject | Survey sampling | no_NO |
dc.subject | Multiple imputation | no_NO |
dc.subject | Nonresponse | no_NO |
dc.subject | JEL classification: C42 | no_NO |
dc.subject | JEL classification: C13 | no_NO |
dc.subject | JEL classification: C15 | no_NO |
dc.title | Non-Bayesian multiple imputation | no_NO |
dc.type | Working paper | no_NO |
dc.subject.nsi | VDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412 | no_NO |
dc.source.pagenumber | 32 s. | no_NO |