Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Small Area Estimation Techniques Based on Logistic Model to Estimate Unemployment Rate

  • Kim, Young-Won (Department of Statistics, Sookmyung Women’s University) ;
  • Choi, Hyung-a (Department of Statistics, Sookmyung Women’s University)
  • Published : 2004.12.01
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Abstract

For the Korean Economically Active Population Survey(EAPS), we consider the composite estimator based on logistic regression model to estimate the unemployment rate for small areas(Si/Gun). Also, small area estimation technique based on hierarchical generalized linear model is proposed to include the random effect which reflect the characteristic of the small areas. The proposed estimation techniques are applied to real domestic data which is from the Korean EAPS of Choongbuk. The MSE of these estimators are estimated by Jackknife method, and the efficiencies of small area estimators are evaluated by the RRMSE. As a result, the composite estimator based on logistic model is much more efficient than others and it turns out that the composite estimator can produce the reliable estimates under the current EAPS system.

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References

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  2. Logistic Regression Type Small Area Estimations Based on Relative Error vol.24, pp.3, 2011, https://doi.org/10.5351/KJAS.2011.24.3.445