Acknowledgements. The authors thank the referees for their reviews, which significantly improved the paper, and Professor David G. Steel for his comments.
COMBINING HOUSEHOLD SURVEYS USING MASS IMPUTATION TO ESTIMATE POPULATION TOTALS
Version of Record online: 22 AUG 2012
© 2012 Australian Statistical Publishing Association Inc.
Australian & New Zealand Journal of Statistics
Volume 54, Issue 2, pages 223–238, June 2012
How to Cite
Chipperfield, J., Chessman, J. and Lim, R. (2012), COMBINING HOUSEHOLD SURVEYS USING MASS IMPUTATION TO ESTIMATE POPULATION TOTALS. Australian & New Zealand Journal of Statistics, 54: 223–238. doi: 10.1111/j.1467-842X.2012.00666.x
- Issue online: 15 OCT 2012
- Version of Record online: 22 AUG 2012
- mass imputation;
- composite estimation
Pressure is often placed on statistical analysts to improve the accuracy of their population estimates. In response to this pressure, analysts have long exploited the potential to combine surveys in various ways. This paper develops a framework for combining surveys when data items from one of the surveys is mass imputed. The estimates from the surveys are combined using a composite estimator (CE). The CE accounts for the variability due to the imputation model and the surveys’ sampling schemes. Diagnostics for the validity of the imputation model are also discussed. We describe an application of combining the Australian Labour Force Survey and the National Aboriginal and Torres Strait Islander Health Survey to estimate employment characteristics about the Indigenous population. The findings suggest that combining these surveys is beneficial.