Communications for Statistical Applications and Methods

  • 제11권3호
  • /
  • Pages.583-595
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  • 2004
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  • 2287-7843(pISSN)
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  • 2383-4757(eISSN)
한국통계학회 (The Korean Statistical Society)
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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)
  • 발행 : 2004.12.01
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초록

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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참고문헌

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피인용 문헌

  1. Generalized kernel estimating equation for panel estimation of small area unemployment rates vol.24, pp.6, 2013, https://doi.org/10.7465/jkdi.2013.24.6.1199
  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