Variance estimation for nearest neighbor imputation for US Census long form data
| Autor: | Kim, Jae Kwang, Fuller, Wayne A., Bell, William R. |
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| Rok vydání: | 2011 |
| Předmět: | |
| Zdroj: | Annals of Applied Statistics 2011, Vol. 5, No. 2A, 824-842 |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1214/10-AOAS419 |
| Popis: | Variance estimation for estimators of state, county, and school district quantities derived from the Census 2000 long form are discussed. The variance estimator must account for (1) uncertainty due to imputation, and (2) raking to census population controls. An imputation procedure that imputes more than one value for each missing item using donors that are neighbors is described and the procedure using two nearest neighbors is applied to the Census long form. The Kim and Fuller [Biometrika 91 (2004) 559--578] method for variance estimation under fractional hot deck imputation is adapted for application to the long form data. Numerical results from the 2000 long form data are presented. Comment: Published in at http://dx.doi.org/10.1214/10-AOAS419 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org) |
| Databáze: | arXiv |
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