%0 Journal Article %1 Little1988 %A Little, Roderick J.A. %D 1988 %J Journal of Business and Economic Statistics %K Imputation; Incomplete Matching; Multiple Regression Weighting data; imputation; models; %N 3 %P 287-301 %T Missing-data adjustments in large surveys %V 6 %X Useful properties of a general-purpose imputation method for numerical data are suggested and discussed in the context of several large government surveys. Imputation based on predictive mean matching is proposed as a useful extension of methods in existing practice, and versions of the method are presented for unit nonresponse and item nonresponse with a general pattern of missingness. Extensions of the method to provide multiple imputations are also considered. Pros and cons of weighting adjustments are discussed, and weighting-based analogs to pre- dictive mean matching are outlined

@article{Little1988, abstract = {Useful properties of a general-purpose imputation method for numerical data are suggested and discussed in the context of several large government surveys. Imputation based on predictive mean matching is proposed as a useful extension of methods in existing practice, and versions of the method are presented for unit nonresponse and item nonresponse with a general pattern of missingness. Extensions of the method to provide multiple imputations are also considered. Pros and cons of weighting adjustments are discussed, and weighting-based analogs to pre- dictive mean matching are outlined}, added-at = {2010-07-07T17:27:19.000+0200}, author = {Little, Roderick J.A.}, biburl = {https://www.bibsonomy.org/bibtex/2bdd8c5e6539a510ad69f507679f31655/pillo}, comment = {coins term: predictive mean matching}, interhash = {6d592b2ac516d42d2b8a865bb945d2d9}, intrahash = {bdd8c5e6539a510ad69f507679f31655}, journal = {Journal of Business and Economic Statistics}, keywords = {Imputation; Incomplete Matching; Multiple Regression Weighting data; imputation; models;}, number = 3, owner = {Bernd Panassiti}, pages = {287-301}, timestamp = {2010-07-07T17:27:22.000+0200}, title = {Missing-data adjustments in large surveys}, volume = 6, year = 1988 }