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http://dx.doi.org/10.5351/KJAS.2021.34.3.427

Integrated calibration weighting using complex auxiliary information  

Park, Inho (Department of Statistics, Pukyong National University)
Kim, Sujin (Health Insurance Research Institute, National Health Insurance Service)
Publication Information
The Korean Journal of Applied Statistics / v.34, no.3, 2021 , pp. 427-438 More about this Journal
Abstract
Two-stage sampling allows us to estimate population characteristics by both unit and cluster level together. Given a complex auxiliary information, integrated calibration weighting would better reflect the level-wise characteristics as well as multivariate characteristics between levels. This paper explored the integrated calibration weighting methods by Estevao and Särndal (2006) and Kim (2019) through a simulation study, where the efficiency of those weighting methods was compared using an artificial population data. Two weighting methods among others are shown efficient: single step calibration at the unit level with stacked individualized auxiliary information and iterative integrated calibration at each level. Under both methods, cluster calibrated weights are defined as the average of the calibrated weights of the unit(s) within cluster. Both were very good in terms of the goodness-of-fit of estimating the population totals of mutual auxiliary information between clusters and units, and showed small relative bias and relative mean square root errors for estimating the population totals of survey variables that are not included in calibration adjustments.
Keywords
two-stage sampling; integrated weighting; calibration estimation; complex auxiliary information; American community survey;
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  • Reference
1 Lemaitre G and Dufour J (1987). An integrated method for weighting persons and families, Survey Methodology, 13, 199-207.
2 Park I and Lee H (2002). A revisit of design effects under unequal probability sampling, The Survey Statistician, 46, 23-26.
3 Valliant R, Dever JA, and Kreuter F (2013). Practical Tools for Designing and Weighting Survey Samples, Springer, New York.
4 Sarndal CE, Swensson B, and Wretman J (1992). Model Assisted Survey Sampling, Springer, New York.
5 Kolenikov S and Hammer H (2015). Simultaneous ranking of survey weights at multiple levels, Survey Methods: Insights fromm the Field, Special issue: 'Weighting: Practical Issues and "How to" Approach', Retrieved from: http://surveyinsights.org/?p-5099. DOI:10.13094/SMIF-2015-00010.
6 Deville JC and Sarndal CE (1992). Calibration estimators in survey sampling, Journal of the American Statistical Association, 87, 376-382.   DOI
7 Estevao VM and Sarndal CE (2006). Survey estimates by calibration on complex auxiliary information, International Statistical Review, 74, 127-147.   DOI
8 Kim S (2019). Iterative calibration approach to integrated weighting for household surveys, Unpublished Master thesis, Pukyong National University, Busan, Korea.