Statistical analysis of HIV seropositive results from 1988-1993 performed on life insurance applicants

This review of statistical data, derived from HIV antibody testing performed on life insurance applicants over a period of five and one-half years, reflects the evolving nature of the HIV epidemic in the United States and demonstrates how the findings in the life insurance low risk population mirror the trends and changes that are occurring in the general population.     

Price Regulation in Secondary Insurance Markets

Secondary life insurance markets are growing rapidly. From nearly no transactions in 1980, a wide variety of similar products in this market has developed, including viatical settlements, accelerated death benefits, and life settlements and as the population ages, these markets will become increasingly popular. Eight state governments, in a bid to guarantee sellers a “fair” price, have passed regulations setting a price floor on secondary life insurance market transactions, and more are considering doing the same. Using data from a unique random sample of HIV+ patients, we estimate welfare losses from transactions prevented by binding price floors in the viatical settlements market (an important segment of the secondary life insurance market). We find that price floors bind on HIV patients with greater than 4 years of life expectancy. Furthermore, HIV patients from states with price floors are significantly less likely to viaticate than similarly healthy HIV patients from other states. If price floors were adopted nationwide, they would rule out transactions worth $119 million per year. We find that the magnitude of welfare loss from these blocked transactions would be highest for consumers who are relatively poor, have weak bequest motives, and have a high rate of time preference.     

Does insurance activity promote economic growth? Further evidence based on bootstrap panel Granger causality test

This study applies the bootstrap panel Granger causality test to test whether insurance activity promotes economic growth, using data from 10 OECD countries over the period of 1979–2006. Empirical results indicate that one-way Granger causality running from all insurance activities to economic growth for France, Japan, Netherlands, Switzerland, and the UK, and economic growth Granger causes insurance activities in Canada (for life insurance), Italy (for total and life insurance) and the USA (for total and non-life insurance). There is a two-way Granger causality between life insurance activity and economic growth in the USA, while no causality between insurance activities and economic growth is found in Belgium (for all insurance), Canada (for total and non-life insurance), Italy (for non-life insurance) and Sweden (for life insurance). Our results also confirm the finding of Ward and Zurbruegg [Does insurance promote economic growth? Evidence from OECD economies. Journal of Risk and Insurance 67, no. 4: 489–506] showing that the insurance–growth nexus varies across countries, since their paper have previously demonstrated heterogeneity in this vein. In an analysis of a broader, though overlapping 17-country sample and taking into account banking activities, the results suggest the importance of including banking activities when investigating the insurance–growth relationship.     

Versicherung von Risiken HIV-infizierter Menschen und Gleichbehandlungsrecht

The article deals with the impact of the German Equal Treatment Law on the insurance of risks related to a HIV positive person. The infection has to be qualified as a disability but differentiations in insurance contracts are usually justifiable. In addition normally there is no unlawful treatment with regard to sexual identity. Even so the insurer has several options to avoid any conflict with HIV positive persons.     

Adverse Selection in Term Life Insurance Purchasing due to the BRCA1/2 Genetic Test and Elastic Demand

Consumer groups fear that the use of genetic testing information in insurance underwriting might lead to the creation of an underclass of individuals who cannot obtain insurance; thus, these groups want to ban insurance companies from accessing genetic test results. Insurers contend that such a ban might lead to adverse selection that could threaten their financial solvency. To investigate the potential effect of adverse selection in a term life insurance market, a discrete‐time, discrete‐state, Markov chain is used to track the evolution of twelve closed cohorts of women, differentiated by family history of breast and ovarian cancer and age at issue of a 20‐year annually renewable term life insurance policy. The insurance demand behavior of these women is tracked, incorporating elastic demand for insurance. During the 20‐year period, women may get tested for BRCA1/2 mutations. Each year, the insurer calculates the expected premiums and expected future benefit payouts which determine the following year's premium schedule. At the end of each policy year, women can change their life insurance benefit, influenced by their testing status and premium changes. Adverse selection could result from (i) differentiated benefits following test results; (ii) differentiated lapse rates according to test results; and (iii) differentiated reactions to price increases. It is concluded that with realistic estimates of behavioral parameters, adverse selection could be a manageable problem for insurers.     

Development in medical underwriting in Germany

Life insurance companies generate profits primarily with life insurance and disability protection. Individual risk assessment serves to avoid adverse selection. The assessment of medical risks is based generally on the classification requirements of the reinsurance companies. For this reason the reinsurers provide the primary insurance companies with classification manuals. The manuals from the reinsurers differ only slightly. By means of three examples (heart diseases, cancer and HIV) the development for the last 30 years of underwriting in medical risks is explained in this article.     

A Capital Budgeting Analysis of Life Insurance Costs in the United States: 1950–1979

A capital budgeting procedure is applied in developing a real price index for life insurance over three decades. Individual life policies of three types are analyzed. The analysis reveals that although the cost of whole life insurance, measured in nominal values, has decreased over the past thirty years, when properly measured in present value or constant dollar terms, the cost has risen substantially. Term life insurance has been characterized by decreasing costs in both nominal and real terms. The amounts of the cost variations attributable to improving survival rates, changing policy terms, varying discount rates and differing tax status are identified.     

Household Life Cycle Protection: Life Insurance Holdings, Financial Vulnerability, and Portfolio Implications

Using the Survey of Consumer Finances, we examine the life cycle demand for different types of life insurance. Specifically, we test for the consumer's aversion to income volatility resulting from the death of a household's wage‐earner through the purchase of life insurance. We first develop a financial vulnerability index to control for the risk to the household. We then examine the life cycle demand for life insurance using several definitions of life insurance. We find, in contrast to previous research, that there is a relationship between financial vulnerability and the amount of term life or total life insurance purchased. In addition, we find older consumers use less life insurance to protect a certain level of financial vulnerability than younger consumers. Secondly, our study provides evidence that life insurance demand is jointly determined as part of a household's portfolio. Finally, we consider the impact of family members' nonmonetary contribution on the household's life cycle protection decision. Our results provide some evidence that households take into account the value of nonmonetary contribution in their insurance purchase.     

我国人身保险市场结构变化与预测分析

虽然保险业经受了本次金融危机的考验,但是保险业可能成为系统性风险传导链条上的一环,因此,保险监管机构需要转变审慎监管方式,建立适合保险业的宏观审慎监管框架。在这个背景下,对中国人身保险市场结构现状有一个较为清晰和准确的认识就显得十分必要。研究发现:从全国范围来说,我国寿险市场主体数量较少,人身险市场集中度过高,市场结构为寡头垄断,但各地区的人身险市场结构又各有特点,经济发达地区人身险保险市场结构已经过渡到垄断竞争阶段。根据成分数据预测结果分析,在"十二五"期间,我国人身险的市场集中度继续呈下降趋势。     

Life Insurance Lapse Behavior

Life insurance policy lapses are detrimental to issuing insurers when lapses substantially deviate from insurer expectations. The extant literature has proposed and tested, using macroeconomic data, several hypotheses regarding lapse determinants. While macroeconomic data are useful in providing a general test of lapse determinants, the use of aggregate data precludes an analysis of microeconomic factors that may drive the lapse decision. We develop and test a microeconomic model of voluntary life insurance lapse behavior and provide some of the first evidence regarding household factors related to life insurance lapses. Our findings support and extend the prior evidence regarding lapse determinants. Consistent with the emergency fund hypothesis we find that voluntary lapses are related to large income shocks, and consistent with the policy replacement hypothesis we find that the decision to lapse a life insurance policy is directly related to the purchase of a different life insurance policy. We also find that age is an important moderating factor in the lapse decision. Changes in income appear to more directly affect the decision to lapse for younger households, while they are generally unrelated to the lapse decision for older households.     

Competition,efficiency and soundness in European life insurance markets

This paper provides cross-country evidence on the association between soundness and competition in the life insurance industry, where competition is measured by the Boone indicator. We analyse 10 European Union (EU) life insurance markets over the post-deregulation period 1999–2011. The results indicate that competition increases the soundness of the EU life insurance markets. Since the Boone indicator measures competition based on the reallocation of profits from inefficient insurers to efficient ones, our results suggest that efficiency is the mechanism through which competition contributes to insurer solvency. The soundness-enhancing effect of competition is greater for weak insurers than for healthy ones.     

Effizienz und Eigentümerstruktur: Eine empirische Analyse des deutschen Lebensversicherungsmarktes

We provide new insights into the effect of ownership on efficiency by analyzing the German life insurance market over the period 2002–2005. Previous research on alternative organizational forms in the life insurance industry has focused on stock and mutual ownership only. Due to the uniqueness of the German insurance market, where privately-owned companies face competition by public insurers, we add to the recent literature the well known debate on public versus private ownership, by investigating stock, mutual and public ownership forms. Using traditional DEA, we calculate technical efficiency and cost efficiency scores to test the efficient structure hypothesis as well as the expense preference hypothesis. Our results give strong support to the latter, while we find no evidence that public ownership is an efficient corporate structure for life insurers. The group of stock firms dominates both, mutual and public insurers, although differences between stock and mutual companies are smaller than differences between stock and public firms. Analyzing within-group results, our findings suggest that high efficiency scores can be associated with certain firm characteristics which are publicly available: high returns on assets, low cancellation rates and low costs.     

Investigating the stationarity of insurance premiums: international evidence

This article explores whether there is support for the stationarity hypotheses of life and non-life insurance premiums during the period 1979–2007 for 40 heterogeneous countries. The stationarity of insurance premiums affects insurance companies’ prediction on their future inflow of premium income, which affects the liquidity of insurance companies and their investment plans and thus is relevant to the insurers’ operation. This article employs the advanced nonlinear panel unit-root test with a sequential panel selection method to classify the entire panel into two groups: stationary countries and non-stationary countries. We apply Monte Carlo simulations to derive empirical distributions of the test, which allows us to correct for the finite-sample bias and to consider the cross-country effects. We find relatively stationary life insurance premiums in countries from the following groups: high-income, Europe, and common law origin; relatively stationary non-life insurance premiums exist in the following groups: low-income, Middle East and Africa, and common law origin. Evidence herein shows that different classifications, including income levels, geographic regions, regionally or economically integrated blocs, and legal system, affect the stationarity of life and non-life insurance premiums.     

Generalized Life Insurance: Ruin Probabilities

We study ruin probabilities for generalized life insurance programs. These programs include among others whole life and long term care contracts. Clearly, in such programs the claims in successive years are dependent, hence the structure of our problem is different from that of ruin probabilities in general insurance where claims over time are independent. First, we develop algorithms calculating the ruin probabilities for life and LTC insurance programs. Further, upper and lower bounds for these probabilities are derived. These new bounds take into account the joint distribution of claims over time.     

保险业对经济增长影响的实证分析——基于修正的Solow模型

保险业对于经济增长和社会稳定的作用已得到广泛认同。本文通过估计若干衡量生产效率的指标,以检验财产保险和人身保险在中国经济增长中发挥的作用。文中选用1994年～2007年国内的14组数据来建立我国的经济增长模型,发现在控制了教育、贸易出口、财政支出和投资增长率等变量后,财产保险深度对经济增长具有显著的正面影响,而人身保险深度的影响却不显著。该实证分析结果还表明,与保险和银行的独立影响相比,保险深度和银行贷款占比对经济增长的联合影响更为显著。     

中国寿险市场存在逆向选择吗?——来自CHARLS数据的经验证据

我国寿险市场是否存在逆向选择问题,在理论和实证两个方面缺乏细致的讨论。本文利用CHARLS数据和正相关理论检验了我国定期寿险和终身寿险市场中的逆向选择问题。我们选取了死亡率这一远期指标和健康状况这一近期指标来衡量消费者的死亡风险,从广延边际和集约边际两个方面利用正相关理论进行了深入的研究。实证结论表明,以死亡率和健康状况衡量的死亡风险与寿险消费负相关或者不相关,即我国寿险市场并不存在逆向选择问题。然后,我们讨论了模型的内生性问题,并根据年龄变量检验了结论的稳健性,实证结果表明我们的结论是稳健的。最后,本文利用双变量Probit模型设计了一个机制,并利用该机制验证了利他动机是我国寿险市场不存在逆向选择的原因之一。     

中国寿险市场存在逆向选择吗?——来自CHARLS数据的经验证据

我国寿险市场是否存在逆向选择问题,在理论和实证两个方面缺乏细致的讨论。本文利用CHARLS数据和正相关理论检验了我国定期寿险和终身寿险市场中的逆向选择问题。我们选取了死亡率这一远期指标和健康状况这一近期指标来衡量消费者的死亡风险,从广延边际和集约边际两个方面利用正相关理论进行了深入的研究。实证结论表明,以死亡率和健康状况衡量的死亡风险与寿险消费负相关或者不相关,即我国寿险市场并不存在逆向选择问题。然后,我们讨论了模型的内生性问题,并根据年龄变量检验了结论的稳健性,实证结果表明我们的结论是稳健的。最后,本文利用双变量Probit模型设计了一个机制,并利用该机制验证了利他动机是我国寿险市场不存在逆向选择的原因之一。     

Impact of interest rates on the life insurance market development: Cross-country evidence

Studies have found that interest rates create incentives for insurance firms to focus on financial markets through investments. Using a cross-country context, we conjecture that interest rates affect the life insurance market’s development. Using an initial sample comprising the time series of interest rates and insurance markets’ measures from 34 countries across 1998–2017, we found that the density and penetration of the life insurance market is low in countries with high interest rates. Using another sample of 6,451 observations from insurance firms operating in the same 34 countries, we verified that the financial and operational incomes are equally significant in predicting the net income for life insurance companies that operate in countries with high interest rates. Our study contributes to observations that the lack of governmental control over public expenses impacts interest rates and, thereby, the opportunities for insurers.     

Update on HIV infection

In the third decade of the global epidemic, it is evident that human immunodeficiency virus (HIV) disease is quite different from the disease first recognized among a small number of homosexual men in 1981. The spread of HIV has been particularly alarming in developing countries, especially sub-Saharan Africa and Southeast Asia, and it continues to threaten other populations in Eastern Europe, Latin America and the Caribbean. HIV therapeutic advances have resulted in a marked decrease in acquired immunodeficiency syndrome (AIDS) incidence and death in the United States and Western Europe. With the introduction of "triple therapy," antiretroviral treatment has resulted in an extraordinary increase in the quality of life and life expectancy among HIV-infected persons. However, the rate of decline in AIDS incidence and deaths from the latter part of 1998 through 2000 has slowed for a number of reasons. Even with the stabilization of HIV in Western countries, it remains as important as ever to follow sound insurance principles to address HIV risk. The clinical success stories have yet to be translated into the insurance realm. A very strict analysis of the medical literature will be needed.     

Insurance and economic policy uncertainty

Just as the world has witnessed the increased importance of the insurance sector over the past few decades, it has also witnessed a sharp rise in risks and uncertainties. Surprisingly, studies analyzing the relationship between economic policy uncertainty and the insurance sector are almost non-existent. Another major limitation of insurance literature is the choice of methodology. Most studies on the insurance sector do not take into consideration issues of heterogeneity and cross-sectional dependence, and are therefore subject to errors. To address the identified gaps, this research investigates the impact of economic policy uncertainty on insurance premiums in a panel of 15 countries over the period 1998–2016 by employing heterogeneous panel estimation techniques with cross-sectional dependence. The Durbin-Hausman cointegration tests of Westerlund (2008) confirm that a long-run relationship exists between the variables. Findings from the error correction based panel estimations show that the insurance sector is not immune to the effects of economic policy uncertainty. Economic policy uncertainty raises insurance premiums both in the short and long run, although the long-run impact is greater than the short-run impact. In addition, economic policy uncertainty exerts a bigger influence on non-life insurance premium than on life insurance premium, indicating that the economic risks covered by non-life insurance are more sensitive to uncertainty than the mortality and longevity risks covered by life insurance. Our findings further show that national income, education, population, financial development and institutional quality all raise insurance premiums, while inflation lowers insurance premiums.