• Health Policy and Management
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• v.23 no.2
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• pp.132-144
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• 2013

Background: The purpose of this study was to analyze the medical expense change and influencing factors after introducing longterm care insurance system. The study period was 2 years before and after introduction of the system. Methods: We analyzed data collected from two divided group lived in Incheon. Four hundred and eighty-five elderly who received long-term care wage for one year were selected for experimental group. For control group, 1,940 elderly were selected by gender and age stratified random sampling. Difference-In-difference analyses was used for evaluating policy effectiveness. Also multiple regression analyses were conducted to identify the factors associated with total medical expenditures. The control variables were demographic variables, economic status, diseases, and medical examination variables. Results: Difference-in-difference analyses showed that total average medical expenses among long-term patients has decreased by 61.85%. Of these, the hospitalization expenses have decreased by 91.63% and the drug expenses have increased by 31.85%. Multiple regression analyses results showed that total average medical expenses among long-term patients have significantly decreased by 46.5% after introducing the long-term care insurance. The hospitalization expenses have significantly decreased by 148.5%, whereas the drug expenses have increased by 53.6%. And outpatient expenses have increased by 10.4%, but the differences were not statistically significant. Conclusion: The results showed that total medical expenses and hospitalization expenses have decreased after introducing the long-term care insurance. These results could support the opinion that the health insurance spending among long-term patients will be reduced gradually by long-term care insurance through changing medical demand.

• Korean Journal of Social Welfare
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• v.63 no.2
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• pp.5-29
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• 2011

This paper analyzed the integration cases of the social insurance systems of Germany, Sweden and United Kingdom. On the basis of the two dimensions - institutional and organizational integration, this study reviewed the historical processes of the social insurance integration of the three countries. In Germany, the institutions and the organizations are divided still now and the sickness insurance funds take charge of the entitlement and collection services. In Sweden, the social insurance system is divided by institutions but the organizations were united. the Inland Revenue has charge of the entitlement and collection. In UK, the institutions and the organizations were united and the entitlement and collection services is assigned to the Inland Revenue. Regarding these historical processes of the social insurance integration of developed countries, this paper evaluated the transfer of the collection service to the National Health Insurance Corporation in Korea, which was enforced in 2011.

• East Asian mathematical journal
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• v.38 no.5
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• pp.617-641
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• 2022

In this study, we first present a brief overview of the Korean general insurance market. We then explore the characteristics of the loss ratios of the Korean general insurance industry and apply Markov regime-switching methodology to model the loss ratios of these insurance companies by line of business based on changes in economic regimes. This study applies a number of confirmatory tests such as Zivot-Andrews test (2002), the Chow (1960) test and the Bai and Perron (1998) to confirm the presence of structural breaks in the time series of the loss ratios by line of business. Then, we employ Markov regime-switching methodology to model these loss ratios. We find empirical evidence that the loss ratios reported by insurance companies in Korea is characterized by two distinct regimes; a regime with high volatility and a regime with low volatility, except for vehicle insurance. Our analyses suggest that macro-economic conditions have significant explanatory effect on loss ratios but the direction of effect differs based on the line of business and the regime. Unlike previous studies that have applied linear regressions or divided the samples into different periods and then apply linear regressions to model loss ratios, we argue for the application of Markov regime-switching methodology, which are able to automatically distinguish the different regimes that may be associated with the movements of loss ratios based on differing economic conditions and regulatory upheavals. This study provides a more in depth understanding of loss ratios in the general insurance industry and will be of value to insurance practitioners in modelling the loss ratios associated with their businesses to aid in their decision making. The results may also provide a basis for further studies in other markets apart from Korea as well as for shaping policy decisions related to loss ratios.

• The Korean Journal of Health Service Management
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• v.6 no.2
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• pp.165-177
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• 2012

This study examined market size of private health insurance premium and individual characteristics associated with the market size change in Korea, using wave 1 (2008) and wave 2 (2009) of Korea Health Panel. The market size was 24.4 trillion Korean won in 2008 and 26.9 trillion in 2009. The increase rate of private health insurance premium among those who were the elderly, single, or the poor was higher than that among their counterpart respectively. Health status and utilization were insignificant in determining the increase rate of private health insurance premium. These findings were more obvious among the uninsured in 2008 than among the insured in 2008. The increase of private health insurance premium in Korea imply the increase of willingness-to-pay for health risk through private sector. The authors suggest policy intervention for accessability to health care for the underprivileged and weak through enlargement of Korean social health insurance benefit.

• The Journal of the Korean life insurance medical association
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• v.16
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• pp.77-82
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• 1997

• The Journal of the Korean life insurance medical association
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• v.16
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• pp.59-72
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• 1997

• The Journal of the Korean life insurance medical association
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• v.16
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• pp.37-48
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• 1997

• The Journal of the Korean life insurance medical association
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• v.16
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• pp.21-22
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• 1997

• The Journal of the Korean life insurance medical association
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• v.16
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• pp.13-16
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• 1997

• The Journal of the Korean life insurance medical association
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• v.17
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• pp.17-19
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• 1998