Cream Skimming: Innovations in Insurance Risk Classification and Adverse Selection

We demonstrate how innovations in insurance risk classification can lead to adverse selection, or cream skimming, against insurers that are slow to adopt such pricing innovations. Using a model in which insurers with insufficient pricing data cannot differentiate between low‐ and high‐risk policyholders and therefore charge both the same premium, we show how innovative insurers develop new risk classification data to identify overcharged low‐risk policyholders and attract them from rival insurers with reduced prices. Less innovative insurers thus insure a growing percentage of high‐risk customers, resulting in adverse selection attributable to their informational disadvantage. Next, we examine two cases in which “Big Data” innovations in risk classification led to concerns about cream skimming among U.S. auto insurers. First, we track the rapid adoption of credit‐based insurance scores as pricing variables in personal auto insurance markets. Second, we examine the growing popularity of usage‐based insurance programs like telematics, plans in which insurers use data on policyholders’ actual driving behavior to set prices that attract low‐risk customers. Issues associated with the execution of such pricing strategies are discussed. In both cases, we document how rival insurers quickly adopt successful innovations to reduce their exposure to adverse selection.     

The Efficiency of Categorical Discrimination in Insurance Markets

Crocker and Snow (1986) show that banning categorization based on risk‐related characteristics such as gender or race in pricing insurance policies is inefficient whenever categorization is costless. Their analysis, by contrast, suggests ambiguous welfare effects of banning costly categorization. I show that this latter conclusion is incorrect: categorical pricing bans are inefficient even when categorization is costly. Whenever the ban‐imposing government can instead provide breakeven partial social insurance, it can remove its ban in such a way that the insurance market will choose to employ the categorizing technology only when doing so is Pareto improving.     

Deregulation,Pricing Strategies,and Claim Behavior in the Taiwan Automobile Insurance Market

Stringent pricing regulations have long been in effect in the Taiwan automobile insurance market. In April 2009, a pricing deregulation was adopted, enabling insurers to establish their own auto insurance premium rates. This study examines the effects of deregulation in terms of three hypotheses that we propose pertaining to market shares, loading factors, and last policy month claims. The quantitative analysis results show that pricing deregulation prompts insurers to lower their rates. The effects of deregulation for insurers are determined by not only the decision to deduct premiums and the deduction percentages, but also by policy type.     

Welfare Effects of Banning Genetic Information in the Life Insurance Market: The Case of BRCA1/2 Genes

We investigate whether regulations that ban insurance companies from access to individuals' genetic tests are likely to lead to substantial adverse selection costs for the specific example of the so‐called breast cancer (BRCA1/2) genes. Using a data set including economic, demographic, and relevant family background information to simulate the market for 10‐year term life insurance, we find generally only modest adverse selection costs associated with such a regulatory ban. However, for family background groups that are at high risk for carrying one of these genes, the efficiency cost of adverse selection may be significant should the test become widely adopted.     

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.     

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。     

Insurance Rating Games: Strikes,Spares, and Bags

Carefully designed classroom activities and games can be used to increase student engagement, motivation, and learning. This article describes two games that have been used with students of risk management and insurance to help highlight the intricacies of insurance pricing. These two games, bowling insurance and bags insurance, help students experience the challenging nature of premium determination in risk transfer contracts and also connect the various actions taken by insurers during the insurance transaction.     

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。     

Testing for Adverse Selection in Insurance Markets

This article reviews and evaluates the empirical literature on adverse selection in insurance markets. We focus on empirical work that seeks to test the basic coverage–risk prediction of adverse selection theory—that is, that policyholders who purchase more insurance coverage tend to be riskier. The analysis of this body of work, we argue, indicates that whether such a correlation exists varies across insurance markets and pools of insurance policies. We discuss various reasons why a coverage–risk correlation may not be found in some pools of insurance policies. The presence of a coverage–risk correlation can be explained either by moral hazard or adverse selection, and we discuss methods for distinguishing between them. Finally, we review the evidence on learning by policyholders and insurers.     

Adverse Selection and the Opaqueness of Insurers

While adverse selection problems between insureds and insurers are well known to insurance researchers, few explore adverse selection in the insurance industry from a capital markets perspective. This study examines adverse selection in the quoted prices of insurers' common stocks with a particular focus on the opacity of both asset portfolios and underwriting liabilities. We find that more opaque underwriting lines result in greater adverse selection costs for property-casualty (P-C) insurers. A similar effect is not apparent for life-health (L-H) insurers and we find no effect of asset opaqueness on adverse selection for either L-H or P-C insurers.     

Insurance Redlining and Disparate Impact: The Application of a Federal Civil Rights Doctrine to Homeowners Insurance

ABSTRACT: Allegations of inner-city insurance redlining are increasingly facilitated through the jurisprudence of "disparate impact," a legal doctrine holding that a policy or practice based on race-neutral criteria may nevertheless constitute illegal discrimination if it has a disproportionate adverse impact on racial minorities or women. Disparate impact analysis would require insurers to document a precise cause-and-effect relationship between a challenged underwriting variable and its associated risk. Moreover, they would be required to show that no "less discriminatory" risk-assessment technique is available. If it is not possible—or too costly—to meet this burden, insurers will have no choice but to abandon the use of those risk-selection practices and cost-based pricing mechanisms that yield a disparate racial impact. This will result in higher premiums and less insurance availability for consumers. Furthermore, dubious charges of unfair discrimination will exacerbate racial tensions and divert attention from the social and economic pathologies of which insurance costs are merely symptomatic.     

Participating Insurance Contracts and the Rothschild-Stiglitz Equilibrium Puzzle

We extend the Rothschild-Stiglitz (RS) insurance market model with adverse selection by allowing insurers to offer either non-participating or participating policies, that is, insurance contracts with policy dividends or supplementary calls for premium. It is shown that an equilibrium always exists in such a setting. Participating policies act as an implicit threat that dissuades deviant insurers who aim to attract low-risk individuals only. The model predicts that the mutual corporate form should be prevalent in insurance markets where second-best Pareto efficiency requires cross-subsidisation between risk types.     

The Risk Balls Game: Transforming Risk and Insurance Into Tangible Concepts

The Risk Balls game is used as a game in an introductory insurance course to demonstrate in a tangible way the notion of risk and its relationship to insurance. Through playing with the ``risk balls,' each one representing a different type of risk, the students experience feelings of anxiety about risk, and later, the sense of anxiety reduction when they transfer the risk balls to insurers. The game incorporates complex concepts of risk transfer and risk reduction via pooling and sharing of risk. The mathematical implications of the law of large numbers are physically felt in the classroom when the students experience the relief associated with transferring the risk balls to insurers. The discussion that ensues during the game includes aspects of the underwriting process; moral hazard; adverse selection; the role of agents, insurers, and regulators; and the nature of the insurance contract. The game of risk balls stimulates lively group discussions and provides hands-on experience with risks such as premature death risk or fire risk and the fears associated with them.     

保险市场逆向选择与顺向选择共存研究

保险市场存在着逆向选择。经典逆向选择模型认为,风险高的人会购买更多的保险,但大多数实证研究表明保险市场还存在顺向选择。本文认为,逆向选择和顺向选择虽然对立,但共存于保险市场,在此基础上构建保险市场均衡模型,并进行了仿真研究。     

Genetics,Alzheimer’s Disease,and Long-Term Care Insurance

Abstract

This paper applies a model of Alzheimer’s disease (AD) developed by Macdonald and Pritchard (2000) to the question of the potential for adverse selection in long-term care (LTC) insurance introduced by the existence of DNA tests for variants of the ApoE gene, the ε4 allele of which is known to predispose one to earlier onset of AD. It computes the expected present values (EPVs) of model LTC benefits with respect to AD for each of five ApoE genotypes, weighted average EPVs with and without adverse selection, and sample underwriting ratings. The paper concludes that adverse selection could increase costs significantly in a small LTC insurance market only if current population genetic risk is not much smaller than that observed in case-based studies, and if carriers of the ε4 allele are very much more likely to buy LTC insurance. Finally, the paper considers the cost of a combined retirement package, providing both pension and LTC insurance, and shows that it can reduce adverse selection.     

Insurance loss coverage and social welfare

Restrictions on insurance risk classification may induce adverse selection, which is usually perceived as a bad outcome, both for insurers and for society. However, a social benefit of modest adverse selection is that it can lead to an increase in ‘loss coverage’, defined as expected losses compensated by insurance for the whole population. We reconcile the concept of loss coverage to a utilitarian concept of social welfare commonly found in the economic literature on risk classification. For iso-elastic insurance demand, ranking risk classification schemes by (observable) loss coverage always give the same ordering as ranking by (unobservable) social welfare.     

Relative Hedging of Systematic Mortality Risk

A number of problematic issues have arisen in anticipation of the potential role of molecular tests for genetic predispositions to illness in risk assessment by insurance underwriters. We argue in this paper that the regrettable history and current risks of genetic discrimination warrant a presumption that genetic predisposition status should not be used in any nonmedical contexts, unless compelling evidence can demonstrate that serious harm will result to third-party interests without such use. We argue that insurers should not be able to initiate testing for genetic predisposition. We also argue that there are many reasons to doubt whether patients’ test results will result in such serious adverse selection as to cause substantial harm to insurance markets, except possibly at higher policy amounts in life or disability income insurance. We conclude that the burden of proof must be on insurers to demonstrate necessity of use in specific cases in which test availability shows high probability of imminent, serious harm to insurance markets.     

保险市场逆向选择的信号传递博弈研究

在保险市场中,投保人比保险人更了解自己的风险状况,保险双方之间的这种信息不对称难以避免地会产生逆向选择问题,于是在保险人混同定价的情形下,低风险投保人要承受过高的费率而受损,高风险投保人因保险成本过低而削弱控制风险的激励,导致整个市场资源配置低效甚至因逆向选择螺旋而崩溃。通过引入信号传递机制来实现保险市场的分离定价,从...     

中国的“影子保险”:来自监管自然实验的证据

影子保险在金融稳定中扮演着重要角色,但现有文献较多关注影子银行,对影子保险关注不足。“影子保险”即保险公司通过再保险方式将保险业务转移给不受监管或者受监管较弱的关联企业的活动,这会推高其真实的杠杆水平,增加金融体系脆弱性。然而,由于影子保险的不透明性和缺少自然实验,现有研究仅基于有限数据或模型给出简单的特征事实或结构性估计,很少能从因果关系上清楚地识别影子保险活动及其机制。本文利用中国加强对中资保险公司(处理组)再保险关联交易监管的政策冲击这一自然实验,使用微观数据和双重差分方法,识别了中国金融体系中的影子保险活动。研究发现,相关监管有效降低了影子保险活动,这一效应对集团公司的影响尤为显著;在机制方面,相关监管通过影响中资保险公司资产负债表两端的结构性调整进而降低了其风险承担行为,提高了经营稳定性。本文方法对识别金融机构的监管套利和防范系统性金融风险具有一定参考意义。     

The Capital Structure of Firms Subject to Price Regulation: Evidence from the Insurance Industry

Automobile and workers' compensation insurance are relatively homogeneous products sold under varying regulatory systems among the states. This paper investigates how price regulation affects the capital structure decisions of profit-maximizing insurers who sell insurance in both competitive and/or regulated markets. Specifically, we test the hypothesis that insurers subject to price regulation will choose to hold less capital. In addition, we hypothesize insurers subject to more stringent regulatory pricing constraints will choose even higher degrees of leverage because the benefits of holding additional amounts of capital are suppressed. We conduct empirical tests using cross-sectional data on insurers and find evidence consistent with both hypotheses. These findings have important implications for insurance price and solvency regulation. Stricter price regulation increases the default risk (i.e., reduces the financial quality) of insurance contracts purchased by individuals and firms.