• Journal of the Korean Data and Information Science Society
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• v.19 no.3
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• pp.735-749
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• 2008

This article suggests application of logit model for analysis of multicategory responses. Referring to the reference category, characteristic of each category is obtained from analysis of polytomous logit model. With National Pension data it is illustrated that application of logit model helps it possible to find significant factors which may not be found only with polytomous logit model. Application of the logit model is done by reducing the number of categories. Categories are grouped into the former and the latter group according to reference category. Extra finding of significant factor was possible from logistic regression analysis for the two groups after removing the reference category. It is expected that this application would be helpful for finding information and characteristics on ordered multicategory responses where the proportional odds model does not fit.

• The Korean Journal of Applied Statistics
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• v.21 no.4
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• pp.589-602
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• 2008

This article studies on disability pensioners' characteristic with multinomial logit and logistic regression model. Seven factors are examined on whether each factor is reflected in degree of disability in the disability pension. By incorporating multinomial logit and logistic regression model, effectiveness and characteristic of the seven factors are investigated on the degree of disability. Result shows all the seven factors are significant on the degree of disability, while among the seven, five factors, age, sex, type of coverage, type of category, insured duration show a trend in degree of disability and the other two, cause of disability and class of standard monthly income are not effective on trend in degree of disability. Results from analyses might be useful for disability pension management.

• Journal of the Korean association of regional geographers
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• v.10 no.4
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• pp.775-786
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• 2004

Establishments of wholesale of recycling materials are located in the region where an amount of recyclable wastes generated as artery industry developed and the region of rather many population. And they are located not in underpopulated area as noxious facilities, but located in the non-residential area of many population regions in the whole country. Also, establishments of recycling of metal wastes and scrap, and non-metal wastes and scrap are mainly located in the peripheral region of metropolitan cities, regional centered cities, and adjacent regions of industrial area, because of high coefficient of localization, and agglomerated effects of production. The factor influencing the location of recycling industries is deeply connected with the location of wholesale of recycling materials, and thus, the transportation costs to carry recycling materials from supplied regions to plants are important but population is not so important.