• Communications for Statistical Applications and Methods
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• 제20권4호
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• pp.321-327
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• 2013

Bayesian and empirical Bayesian methods have become quite popular in the theory and practice of statistics. However, the objective is to often produce an ensemble of parameter estimates as well as to produce the histogram of the estimates. For example, in insurance pricing, the accurate point estimates of risk for each group is necessary and also proper dispersion estimation should be considered. Well-known Bayes estimates (which is the posterior means under quadratic loss) are underdispersed as an estimate of the histogram of parameters. The adjustment of Bayes estimates to correct this problem is known as constrained Bayes estimators, which are matching the first two empirical moments. In this paper, we propose a way to apply the constrained Bayes estimators in insurance pricing, which is required to estimate accurately both location and dispersion. Also, the benefit of the constrained Bayes estimates will be discussed by analyzing real insurance accident data.

• Journal of the Korean Data and Information Science Society
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• 제20권3호
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• pp.515-526
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• 2009

자동차 보험 산업에 있어 담보되는 위험도에 따른 적정 보험가격의 산출은 매우 중요하다. 본 논문에서는 자동차 보험 산업에서 보험가격 산출 방법이 어떻게 발전되어 왔는지에 대하여 고찰하고, 여러 통계적인 방법으로 산출한 보험가격과 실제 담보되는 위험도의 비교 분석을 통하여 보다 나은 통계적 보험가격 산출 방법을 제안하고자 한다. 그 중에서 일반선형모형을 중심으로 다루었으며, 오차항의 분포에 대한 다양한 가정을 통하여 최적의 접근 방법에 대한 논의를 하였다. 일반선형모형에 있어 오차항의 분포에 대한 적절한 가정은 모형의 최적화를 위한 중요한 가정이다. 본 연구에서는 일반적으로 널리 사용되지 않았음에도 불구하고 자동차 보험 사고 손해액과 매우 유사한 성격을 가지고 있는 트위디 분포를 오차항의 분포 가운데 하나로 적용하여 비교하였다. 실증자료 분석으로서 국내 자동차 보험사의 실제 자료를 통하여 여러 접근 방법에 대한 적정성 비교를 수행하였다.

• 보험의학회지
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• 제27권2호
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• pp.75-79
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• 2008

This article summarizes current knowledge about the metabolic syndrome (MetSyn) and addresses the question, "Does the MetSyn add new information that is important from an underwriting and pricing perspective?"

• Journal of the Korean Data and Information Science Society
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• 제24권3호
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• pp.603-623
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• 2013

최근 들어 예측하기 힘든 기후의 변동성이 심해지고 한국의 산업이 고도화됨에 따라 날씨의 변화에 능동적으로 대처하기 위해 날씨보험이나 날씨 파생상품을 활용할 수 있으나 현재 실제로 이러한 금융상품을 이용하여 날씨위험을 관리하는 데에는 많은 어려움과 한계가 있다. 본 논문에서는 다양한 강수보험의 활성화에 필요한 강수횟수와 강수량의 확률적 모델링을 통하여 여러 가지 강수 보험을 제안하고 추정된 결합분포를 통하여 보험료를 산출하려 한다. 이를 위하여 최근 30년 동안 한국 9개 지역의 7월-9월의 월 강수량과 월 강수 횟수를 확률분포에 적합하고 두 확률변수의 상관성을 코퓰라를 이용하여 분석한다. 그리고 개별분포와 추정된 코퓰라를 이용하여 시뮬레이션을 통하여 여러 가지 강수 보험의 가격을 결정하는 방법을 제안한다.

• 한국임상보건과학회지
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• 제1권3호
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• pp.1-9
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• 2013

Purpose. This research is implemented to identify the status of educations about the pricing standard, status of the cognition of the pricing standard, and the solutions to the questions on the pricing standard of the oral health professionals. it will provide the easier accessibility to the annual changes in Dental Health Insurance Standards to the oral health professionals. Methods. The research subjects are the total 204 oral health professionals in limited area, and it was analyzed with structured questionnaires. The collected data is analyzed by IBM SPSS ver. 19.0, a statistical program (IBM Co., Armonk, NY, USA) for the frequency and percentage, and ANOVA. The result is as following Results. The awareness of dental health insurance standard was statistically significant differences by age (p<0.01), career (p<0.001), the prime task (p<0.01), and dental insurance claimants (p<0.05). The awareness of the standard was statistically significant differences by educational training within last 6 months (p<0.05), the cognition of the standard (p<0.001), and solutions for the questions (p<0.05). Conclusions. As the results of the research, it is necessary to develop the educational program under condition of age, career, main task, and better understanding in Dental Health Insurance Standard for oral health professional.

• Communications for Statistical Applications and Methods
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• 제21권3호
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• pp.235-243
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• 2014

Constrained Bayesian estimates overcome the over shrinkness toward the mean which usual Bayes and empirical Bayes estimates produce by matching first and second empirical moments; subsequently, a constrained Bayes estimate is recommended to use in case the research objective is to produce a histogram of the estimates considering the location and dispersion. The well-known squared error loss function exclusively emphasizes the precision of estimation and may lead to biased estimators. Thus, the balanced loss function is suggested to reflect both goodness of fit and precision of estimation. In insurance pricing, the accurate location estimates of risk and also dispersion estimates of each risk group should be considered under proper loss function. In this paper, by applying these two ideas, the benefit of the constrained Bayes estimates and balanced loss function will be discussed; in addition, application effectiveness will be proved through an analysis of real insurance accident data.

• Communications for Statistical Applications and Methods
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• 제30권5호
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• pp.437-451
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• 2023

Generalized linear models and generalized linear mixed models (GLMMs) are fundamental tools for predictive analyses. In insurance, GLMMs are particularly important, because they provide not only a tool for prediction but also a theoretical justification for setting premiums. Although thousands of resources are available for introducing GLMMs as a classical and fundamental tool in statistical analysis, few resources seem to be available for the insurance industry. This study targets insurance professionals already familiar with basic actuarial mathematics and explains GLMMs and their linkage with classical actuarial pricing tools, such as the Buhlmann premium method. Focus of the study is mainly on the modeling aspect of GLMMs and their application to pricing, while avoiding technical issues related to statistical estimation, which can be automatically handled by most statistical software.

• 한국임상약학회지
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• 제28권2호
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• pp.124-130
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• 2018

Objective: This study examined the Risk Sharing Agreement (RSA) on pharmaceutical pricing system in Korean national health insurance. Through RSA, the insurer was able to maintain the principles in the price listing process while managing the budget effectively and improving patient access to new drugs. Despite these positive effects, there are still issues raised by some stakeholders, such as lack of transparency in the listing process and doubts about its effectiveness. Therefore, we investigated the impacts of RSA on national health insurance financing and patient access to analyze the effects of RSA. Methods: The impact of RSA was investigated by analyzing the health insurance claims data for 2014~2016. The degree of improvement in patient access was determined by the decreased amount of patients' payment. Results: Results showed that the financial impact of RSA was not significant and patients' access to the new drug greatly improved. Conclusion: These results show that RSA is a good system for improving patient access to new drugs without additional expense on insurance.

• 재무관리연구
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• 제20권1호
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• pp.279-304
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• 2003

예금보험료는 각 금융기관의 위험정도에 상응해서 부과되어야 하지만 우리나라는 현재 금융 업종별로만 차등화되어 있고 같은 업종 금융기관간에는 동일 예금보험료율이 적용되고 있다. 고정예금 보험료율 부과방식에 비하여 변동예금 보험료율 부과방식은 논리적 타당성을 지니고 있지만 실제 적용가능한 객관적이고 측정이 용이한 기준마련이 어렵다. 본 연구에서는 옵션평가모형(option pricing model)을 이용하여 1995년부터 2001년까지 개별금융기관 및 전체 금융업종별로 예금보험료율을 추정하고 분석하였다. 금융업종별로 상호비교한 다음 연도별 추세분석과 분포분석을 하였다. 다음으로 추정 예금보험료율과 은행의 자본적정성, 수익성 및 자산건전성을 나타내는 관련 변수들과의 상관관계를 분석하였다. 연구 결과 개별 금융기관에 따라, 그리고 금융업종 및 표본기간에 따라 예금보험료율의 추정치가 상당한 차이를 보였다. 이는 금융업종에 따라 예금보험료율을 차등부과하고 개별은행의 위험을 반영하는 위험반영 차등 예금보험료율 제도의 타당성을 뒷받침한다고 할 수 있다. 은행보고자료와 감독기관의 검사자료가 지니고 있는 주관적 요소라는 단점을 극복하는 자료인 시장자료를 이용하는 본 연구의 추정결과는 예금보험료 부과에 보완적으로 사용할 수 있을 것이다.

• 한국병원경영학회지
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• 제14권4호
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• pp.52-70
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• 2009

This study is to analyse the reimbursement prices of drugs in Japan. Japan has the world's second-largest pharmaceutical market, and the world's largest price-controlled pharmaceutical market. The reimbursement prices of new drugs in Japan are determined by confidential negotiations between the manufacturer and the Japanese Ministry of Health, Labor, and Welfare. Pharmaceuticals account for a larger share of total healthcare expenditures in Japan than in most other major pharmaceutical markets such as France, Germany, United Kingdom and United States. Prescription drugs' share of total healthcare spending has slightly increased in recent years, from 20.2% in 2000 to 21.5% in 2004, the most recent year for which data are currently available. This trend is attributable to the effect of the Japanese rapidly aging population that stimulates demand for healthcare services. There are several method of price setting for drugs as below. First, on the initial pricing of branded drugs, is the similar-efficacy pricing method and cost calculation method. Second is postmarketing price changes which are biennial price revisions under the rule of National Health Insurance. Third is the rule of the generics price. Recently, the generics market is expanded because there are increasing numbers of hospitals by DPCs(Diagnosis-procedure Combinations).