• The Korean Journal of Applied Statistics
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• v.17 no.3
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• pp.431-443
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• 2004

For the purpose of disease mapping, we consider the four small area estimation techniques to estimate the mortality rate of small areas; direct, Empirical estimation with total moment estimator and local moment estimator, Estimation based on hierarchial generalized linear model. The estimators are compared by empirical study based on lung cancer mortality data from 2000 Annual Reports on the Cause of Death Statistics in Gyeongsang-Do and Jeonla-Do published by Korean National Statistical Office. Also he stability and efficiency of these estimators are investigated in terms of mean square deviation as well as variation of estimates.

• Korean Journal of Social Welfare Studies
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• v.47 no.1
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• pp.57-92
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• 2016

The Correlations Between the Labour Market Structure and Poverty of the Regions The main objectives of this study are to make an investigation into the spatial characteristics of poverty and to analyze the effects of regional labour market structure. Most previous studies on poverty were more likely to examine internal factors like the characteristics of poor households or family structures than external factors in terms of the regional environments. In order to achieve these goals, this study used the Small Area Estimation designed to estimate the income of each household and then calculate the poverty rate of each local area in order to examine the spatial characteristics of poverty. The poverty distribution in Korea showed the local labour market structures effect on the region poverty rate. The Korean economy now exhibits a big gap between the haves and the have-nots and between urban areas and rural areas. The poverty rate of particular regions will increase and those in the areas will face deteriorated circumstances falling into poverty traps. This study reflects this stern reality and empirically proved the strong need for consideration of regional characteristics in conducting studies on poverty and related policy amendments.