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A Small Area Estimation for Monthly Wage Using Mean Squared Percentage Error
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 Title & Authors
A Small Area Estimation for Monthly Wage Using Mean Squared Percentage Error
Hwang, Hee-Jin; Shin, Key-Il;
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 Abstract
Many researches have been devoted to the small area estimation related with the area level statistics. Almost all of the small area estimation methods are derived based on minimization of mean squared error(MSE). Recently Hwang and Shin (2008) suggested an alternative small area estimation method by minimizing mean squared percentage error. In this paper we apply this small area estimation method to the labor statistics, especially monthly wages by a branch area of labor department. The Monthly Labor Survey data (2007) is used for analysis and comparison of these methods.
 Keywords
Small area statistics;spatial statistics;shrinkage estimator;spatial regression estimator;
 Language
Korean
 Cited by
1.
공간 격자데이터 분석에 대한 우위성 비교 연구 - 이상치가 존재하는 경우 -,김수정;최승배;강창완;조장식;

Communications for Statistical Applications and Methods, 2010. vol.17. 2, pp.193-204 crossref(new window)
2.
Logistic Regression Type Small Area Estimations Based on Relative Error,;;

응용통계연구, 2011. vol.24. 3, pp.445-453 crossref(new window)
1.
Logistic Regression Type Small Area Estimations Based on Relative Error, Korean Journal of Applied Statistics, 2011, 24, 3, 445  crossref(new windwow)
2.
A Comparative Study on Spatial Lattice Data Analysis - A Case Where Outlier Exists -, Communications for Statistical Applications and Methods, 2010, 17, 2, 193  crossref(new windwow)
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