• Title/Summary/Keyword: life insurance data

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Trends of cardiac valve surgery in life insurance ('09~'11) (보험가입자 심장판막 수술 변화 추이분석 ('09~'11))

  • Park, Yoojung;Moon, Kitae;Kim, Youngeun
    • The Journal of the Korean life insurance medical association
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    • v.32 no.2
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    • pp.28-32
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    • 2013
  • We studied trends of cardiac valve surgery using insurance data. 368 persons were included our study. We studied whether there are frauds or not. Only 4 cases were done at less than 1year from an insurance contract. We reviewed medical records of all persons. We could find the type of valve disease in 211 cases. The findings are atrial valve 40.1%, mitral valve 34.6% and others 25.3%. When we divided by materials of surgery, mechanical valves were used in 68.8% of men and 70.6% of woman. The main causes of valve disease were infection(55.1%). And degenerative valve disease 32% and congenital valve disease were 13%. We cannot find definite evidence of insurance frauds in the cardiac valve surgery. But there are some limitation in data analysis.

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Consumer's Evaluating Attributes and Satisfaction/ Dissatisfaction of Life - insurance (소비자의 保險에대한 태도와 만족, 불만족에 관한 연구)

  • 박명희
    • Journal of Families and Better Life
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    • v.6 no.1
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    • pp.117-129
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    • 1988
  • The purposes of this study are 1) to explore the evaluating attribute of family life- insurance 2) to examine the relationship between evaluation attribute variables and level of consumer satisfaction/ dissatisfaction (CS/D), and 3) to investigate the sociodemographic variables and psychological variables which influence the purchase of life-insurance. The data used in this study include 432 households of 208 life-insurance purchasers and 224 non-purchasers Statistics used for the data analysis are x2, factor analysis, multiple regression and a discriminant analysis. The resulting major findings are as follows; 1) The evaluating attributes are saving function, convenience. economic payoff, safety for future accident, agreement of insurance, and reputation of brand. 2) Among these factors. the most important factors. in CS/D of life-insurance are saving function, and reputation of brand. 3) the purchase of life-insurance has been influenced by such sociodemographic variables as husband's age , family income, and family life-cycle. Psychological variables such as attitude of life, perceived risk, consumer attitude about insurance business did not influence the purchase of life -insurance significantly. As mentioned above, we can conclude that Korean purchasers of life-insurance are using irrational evaluating attributes. Therefore more education of the consumers and more information about life-insurance purchases are necessary. Especially low-income households and first step of family life-cycle families are turned out to need more education as well as more information.

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Insurance-Growth Nexus: Aggregation and Disaggregation

  • ZULFIQAR, Umera;MOHY-UL-DIN, Sajid;ABU-RUMMAN, Ayman;AL-SHRAAH, Ata E.M.;AHMED, Israr
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.665-675
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    • 2020
  • The aim of this article is to investigate the relationship between insurance and economic growth at aggregate and disaggregate level for the period 1982-2018. Very few studies have been carried out in this field, with contradictory results and using an aggregate data while, according to different authors, an aggregate data might provide spurious results. The author used Ordinary Least Squares Regressions (OLS) and Granger Causality tests to explore the strength and direction of the relationship between insurance and economic growth at an aggregate level. To check the relationship at disaggregate level life insurance, marine insurance, and property insurance are regressed on trade openness and investment, respectively. Non-life insurance at an aggregate level plays a positive and significant role in promoting economic growth, but life insurance has an insignificant impact on the Pakistan economy. On the other hand, non-life insurances at a disaggregated level such as marine insurance negatively affect a vital part of economic growth, i.e., trade. At the same time, property insurance has a significant and positive role in boosting investment. Life, marine, and property insurance Granger cause economic growth, trade, and investment in a single direction. Nevertheless, is a bi-directional relationship between economic growth and non-life insurance.

A Study on the International Competitiveness of Insurance Industry in the wake of the Fourth Industrial Revolutio (4차 산업혁명에 따른 보험산업의 국제경쟁력 변화에 대한 연구)

  • Park, Eunyub
    • Journal of Information Technology Applications and Management
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    • v.29 no.4
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    • pp.17-33
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    • 2022
  • This study measures the internal and external competitiveness of 35 OECD countries in the insurance industry. We analyze whether variables related to the Fourth Industrial Revolution affect international competitiveness by applying a nonlinear autoregressive distributed lag model. As a result, the competitiveness of life insurance foreign companies in internal is showing positive responses in high income inequality countries. In addition, insurance companies in countries with low income inequality have shown high performance in external. The non-life insurance industry is less sensitive to shocks than life insurance. This is because non-life insurance is a more dangerous industry than life insurance and there are many restrictions on policies and regulations. The reason is that non-life insurance is a more dangerous industry than life insurance and there are many restrictions on policies and regulations.

Face/non-face channel fit comparison of life insurance company and non-life insurance company using social network analysis (소셜네트워크 분석을 활용한 생보사와 손보사의 대면/비대면 채널의 적합성 비교)

  • Chun, Heuiju;Leem, Byunghak
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.6
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    • pp.1207-1219
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    • 2014
  • In this study, 1) we compare face channel and non-face channel of life insurance company and non-life insurance company with insurance employs' suitability opinion about channel type, channel property, channel evaluation items requiring when selling insurance products, 2) we construct two social networks for life insurance companies and non-life insurance companies and find/compare two networks' properties, and then want to suggest any direction about sale channel strategy. As the result of comparing social networks of life insurance company and non-life insurance company created by insurance selling channel fit evaluation, employs of life insurance companies have more common opinion than those of non-life insurance companies and so can have more same directional channel strategy. However, property insurance companies need to manage their own channel strategy based on their own circumstance.

Decomposition and Super-efficiency in the Korean Life Insurance Industry Employing DEA

  • Lee, Hyung-Suk;Kim, Ki-Seog
    • International Journal of Contents
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    • v.4 no.3
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    • pp.1-9
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    • 2008
  • The Korean life insurance industry has undergone profound changes, such as the beginning of the variable insurance in July 2001 and the bancassurance enforcement in August 2003. However, little empirical research has analyzed data that includes the bancassurance of life insurance companies operating in Korea. In response to this lack of research, this paper applies DEA (data envelopment analysis) models to measure and decompose their efficiency. We discovered that life insurance companies operating in Korea are a little different in their composition ratio of inputs and outputs, due to the increased variety of distribution channels and new products. We provided efficiency scores, return to scale, and reference frequencies. We also decomposed CCR, BCC, and SBM efficiency into scale efficiency and MIX efficiency. So, we try to investigate whether the sources of inefficiency were caused by the inefficient operation of DMU, disadvantageous conditions, the difference of the composition ratio in inputs and outputs with reference sets, or any combination of the above. Most companies in the sample display had either constant or decreasing returns to scale. The efficiency rankings were less consistent among models and efficient DMUs. In response to this problem, we used the super-efficiency model to rank them and then compared the rankings of the DMUs among the various models. It was also concluded that the availability of panel data, rather than cross-sectional data, would greatly improve the validity of the efficiency estimates.

A Study on the Application of Survival Analysis to Terminated Life Insurance Polices

  • Kang, Jung-Chul
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.2
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    • pp.237-253
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    • 2005
  • In Korea, the volume of insurance industry has been increased rapidly with helping the economic growth, the increment of GNP and derive of public welfare policy. But the other side of the volume increment, the life insurers have some problems, such as the high rate of turnover, lapses and surrenders, in processing of acquiring more insurance contracts. The object of this paper is the analysis of the causes and properties of the high rate of turnover, lapses and surrenders using statistical survival model. Also we hope that the insurers will use the results of analysis to reduce the rates.

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A Comparative Study on Service Quality in the Korean Insurance Industry using SERVPERF (한국 보험산업의 서비스품질 결정요인에 관한 연구)

  • 이정우;유한주
    • Journal of Korean Society for Quality Management
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    • v.31 no.1
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    • pp.42-61
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    • 2003
  • The objective of this study is to analyze the impact of service quality on the customer satisfaction, the re-purchase intention and the word of mouth in the Korean insurance industry. In this study, the methodology for measuring the degree of service quality which has been adopted in the service quality research area was used. Data for this study were gathered from 1332 consumer life insurance and 689 consumer non-life insurance companies using internet survey method. The result of this study is summarized as follows: the determinants of service quality in the Korean life insurance industry are empathy, responsiveness and reliability, and the determinants of service quality in the Korean non-life insurance industry are empathy, and responsiveness, and the re-purchase intention and the word of mouth are affected by the customer satisfaction. As a result of the study, strategic implications will be suggested.

The cost efficiency analysis of Korean life insurance companies by data envelopment analysis

  • Kang, Jungchul
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.6
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    • pp.1523-1535
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    • 2015
  • We investigate the effect of introduction of the bancassurance system on cost efficiency in the Korean insurance industry between 1997 and 2012. Our estimation results indicate that introduction of this system contributed positively to efficiency of life insurance companies in Korea. Increase in a one standard deviation of bancassurance increases cost efficiency by 0.08 which is equivalent to 12 percent of mean cost efficiency. Recognising that the bancassurance system is a relatively new concept, our results indicate that the bancassurance system can be a policy measure to improve productivity in an emerging insurance market. The results illustrate that positive effects have accrued particularly to medium-sized companies and domestic companies, contrary to the prevailing perception that increased competition through bancassurance is more beneficial to large companies and foreign companies.

Survival analysis for contract maintenance period using life insurance data (생명보험자료를 이용한 계약유지기간에 대한 생존분석)

  • Yang, Dae Geon;Ha, Il Do;Cho, Geon Ho
    • The Korean Journal of Applied Statistics
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    • v.31 no.6
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    • pp.771-783
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    • 2018
  • The life insurance industry is interested in various factors that influence the long-term extensions of insurance contracts such as the necessity for the advisors' long-term management of consumers, product consulting, and improvement of the investment aspects. This paper investigates important factors leading to a long-term contract that forms an important part of the life insurance industry in Korea. For this purpose we used the data of contents (i.e., data from Jan 1, 2011 to Dec 31, 2016) of the contracts of xxx insurance company. In this paper, we present how to select important variables to influence the duration of the contract maintenance via a penalized Cox's proportional hazards (PH) modelling approach using insurance life data. As the result of analysis, we found that the selected important factors were the advisor's status, the reward type 2 (annuity insurance) and tendency 4 (safety-pursuing type).