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http://dx.doi.org/10.5351/KJAS.2017.30.1.069

A study on sensitivity of representativeness indicator in survey sampling  

Lee, Yujin (Department of Statistics, Hankuk University of Foreign Studies)
Shin, Key-Il (Department of Statistics, Hankuk University of Foreign Studies)
Publication Information
The Korean Journal of Applied Statistics / v.30, no.1, 2017 , pp. 69-82 More about this Journal
Abstract
R-indicator (representativeness indicator) is used to check the representativeness of samples when non-responses occur. The representativeness is related with the accuracy of parameter estimator and the accuracy is related with bias of the estimator. Hence, unbiased estimator generates high accuracy. Therefore, high value of R-indicator guarantees the accuracy of parameter estimation with a small bias. R-indicator is calculated through propensity scores obtained by logit or probit modeling. In this paper we investigate the degree of relation between R-indicator and different non-response rates in strata using simulation studies. We also analyze a modified Korea Economic Census data for real data analysis.
Keywords
bias; sample representativeness; propensity score; logit model;
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  • Reference
1 Agresti, A. (2002). Categorical Data Analysis, Wiley Series in Probability and Statistics, John Wiley and Sons, New York.
2 Bethlehem, J., Cobben, F., and Schouten, B. (2008). Indicator for the representativeness of survey response. In Proceedings of Statistics Canada Symposium, Data Collection: Challenges, Achievements and New Directions.
3 Kruskal, W. and Mosteller, F. (1979). Representative sampling III: current statistical literature, International Statistical Review, 47, 245-265.   DOI
4 Ouwehand, P. and Schouten, B. (2014). Measuring representativeness of short-term business statistics, Journal of Official Statistics, 30, 623-649.   DOI
5 Schouten, B., Bethlehem, J., Beullens, K., Kleven, O., Loosveldt, G., Luiten, A., Rutar, K., Shlomo, N., and Skinner, C. (2012). Evaluating, comparing, monitoring, and improving representativeness of survey response through R-indicators and partial R-indicators, International Statistical Review, 80, 382-399.   DOI
6 Schouten, B., Calinescu, M., and Luiten, A. (2013). Optimizing quality of response through adaptive survey designs, Survey Methodology, 39, 29-58.
7 Schouten, B., Cobben, F., and Bethlehem, J. (2009). Indicators for the representativeness of survey response, Survey Methodology, 35, 101-113.
8 Schouten, B., Shlomo, N., and Skinner, C. (2011). Indicators for monitoring and improving survey response, Journal of Official Statistics, 27, 231-253.