Life insurance demand and borrowing constraints

The literature devoted limited attention to exploring the relationship between financial development and life insurance demand. Financial development supports life insurance supply by providing confidence in the financial system, more efficient payment systems, and higher availability of financial instruments. However, financial development reduces households' needs to save by relaxing borrowing constraints, indirectly affecting life insurance demand. We contribute by providing a demand‐driven explanation of the negative consequences of financial development on life insurance development. We find that more credit‐constrained countries have higher life insurance penetration on average. Indirectly, the role of borrowing constraints signifies the importance of life insurance policies as a financing tool in case of the realization of various background risks. This study integrates the knowledge from life insurance theory, life insurance lapse, policy loans demand, and saving under liquidity constraints literature and produces implications for researchers, policymakers, and life insurers.     

The effect of information disclosure on demand for high‐load insurance

Economists, regulators, and consumer protection agencies have highlighted the welfare losses for consumers who purchase high‐load insurance against modest stakes risks. Mandatory information disclosure is a potentially attractive public policy tool that might improve consumers' choices, but has not been widely tested in insurance settings. We conduct an incentive‐compatible insurance demand experiment, in which we manipulate the information disclosed to subjects. We test whether any of the three most commonly suggested disclosures affect insurance demand, disclosing either (1) the true probability of loss, (2) the contract's expected loss, or (3) the insurer's profit on the transaction. Similar to consumers in naturally occurring insurance markets, subjects in the laboratory demonstrate significant demand for high‐load insurance against modest stakes. However, we find no effect of any of the three disclosure treatments on subjects' insurance choices. We discuss the implications of our results for possible public policy initiatives in insurance markets.     

The Demand for Life Insurance in OECD Countries

This article examines the determinants of life insurance consumption in OECD countries. Consistent with previous results, we find a significant positive income elasticity of life insurance demand. Demand also increases with the number of dependents and level of education, and decreases with life expectancy and social security expenditure. The country's level of financial development and its insurance market's degree of competition appear to stimulate life insurance sales, whereas high inflation and real interest rates tend to decrease consumption. Overall, life insurance demand is better explained when the product market and socioeconomic factors are jointly considered. In addition, the use of GMM estimates helps reconcile our findings with previous puzzling results based on inconsistent OLS estimates given heteroscedasticity problems in the data.     

A Dynamic Analysis of the Demand for Life Insurance

Prior research suggests that neither the choice to own life insurance nor the amount purchased is consistently related to the presence of children in the household. While these perplexing findings are based on a static framework, we alternatively examine life insurance demand in a dynamic framework as a function of changes in household life cycle and financial condition. Our results indicate both a statistically and economically significant relation between life events, such as new parenthood, and the demand for life insurance. We also provide new evidence in support of the emergency fund hypothesis: households in which either spouse has become unemployed are more likely than other households to surrender their whole life insurance.     

Corporate Life Cycle and Earnings Benchmarks

We examine whether and how corporate life cycle significantly influences meeting or beating earnings benchmarks (MBE). We find that corporate life cycle plays a significant role in a firm's meeting or beating earnings benchmarks behaviour. Developing strategies that fit into the stage of corporate life cycle is crucial for corporate success. MBE is an important financial goal that requires strategies. In this study, we examine whether and how corporate life cycle significantly influences MBE. Specifically, we focus on the incentives of MBE in growth and mature firms. We find that corporate life cycle significantly influences a firm's tendency to meet or beat zero earnings, prior earnings and analysts’ earnings forecasts. Based on logit regressions for the period from 1988 to 2008, the results indicate that growth firms are more likely to meet or beat all three earnings benchmarks. Overall, the results of this study indicate that a firm's MBE behaviour should be examined in the context of its life cycle stage.     

Dynamic Portfolio Choice with Stochastic Wage and Life Insurance

We study optimal insurance, consumption, and portfolio choice in a framework where a family purchases life insurance to protect the loss of the wage earner's human capital. Explicit solutions are obtained by employing constant absolute risk aversion utility functions. We show that the optimal life insurance purchase is not a monotonic function of the correlation between the wage and the financial market. Meanwhile, the life insurance decision is explicitly affected by the family's risk preferences in general. The model also predicts that a family uses life insurance and investment portfolio choice to hedge stochastic wage risk.     

Firm Size and Growth in the United Kingdom Life Insurance Industry

This study tests whether the organic growth rates of United Kingdom (UK) life insurance firms are independent of size, as predicted by Gibrat's (1931) Law of Proportionate Effects. Using data for 1987–1996 and the three subperiods, 1987–1990, 1990–1993, and 1993–1996, we find that smaller life insurance firms tended to grow faster than larger ones in the 1987–1990 period and that larger life insurers tended to grow faster than smaller ones in the 1990–1993 and 1993–1996 periods. But over the ten‐year period, we find no significant difference between the growth rates of small and large firms, thus supporting Gibrat's Law as a long‐run tendency in the UK life insurance industry. When we examine firm‐specific determinants of asset growth, we find evidence in 1987–1996 and 1987–1990 that more diversified life insurance firms experienced higher growth rates on average than more specialized life insurers. We also find that the growth of life insurance firms was related to input costs during the 1990–1993 and 1993–1996 subperiods.     

国内居民个人寿险产品购买行为的规范分析

今天,个人寿险产品的购买成为越来越普及的一种消费活动,按着消费者购买行为规范分析的框架,分析发现:个人寿险产品兼有选购品和非渴求商品的特征;其消费者的购买决策行为属于一种“高介入度-理性”的活动;收入、教育水平、年龄、家庭生命周期、职业、产品提供的利益、消费态度和顾客品牌忠诚度等成为影响消费者对其进行购买的主要因素。     

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.     

乐观预期、保障能力与商业保险购买——来自中国家庭的微观证据

本文基于中国家庭微观调查数据,在考虑商业保险“保障”和“投资”双重属性的前提下,实证研究了乐观预期对家庭商业保险购买的影响。结果发现,乐观预期对家庭商业保险购买存在显著的积极影响,即户主乐观预期程度越高,家庭购买商业保险的意愿越强。进一步区分保障型商业保险和投资型商业保险,发现乐观预期对商业保险购买的积极影响主要来自对投资型商业保险的需求,对保障型商业保险购买的影响则不显著。更重要地,不同风险保障能力下乐观预期对商业保险购买存在异质性影响,家庭储蓄较多、社会保障覆盖较好以及社会资本水平较高的家庭,乐观预期对商业保险购买的积极影响更大。本研究不仅有助于从预期视角理解商业保险市场的“有限参与”之谜,也为提升家庭风险保障和财富增值能力提供了借鉴。     

The Demand for Life Insurance Policy Loans

Previous research has examined the demand for life insurance policy loans using aggregate policy loan data. In contrast, we use a detailed household survey data set containing life insurance and policy loan information to alternatively, and in some cases more directly, examine the four hypotheses traditionally associated with policy loan demand. Our research provides the first U.S. evidence (in the post–World War II period) in support of the policy loan emergency fund hypothesis. In particular, we find that the more detailed emergency fund proxies used here reveal a significantly positive relation between loan demand and recent expense or income shocks.     

Corporate Risks and Property Insurance: Evidence From the People's Republic of China

Using panel data (1997–1999) for 235 publicly listed companies in the People's Republic of China, this study empirically tests the linkage between corporate risks and the decision to purchase property insurance and its financial extent. To achieve these objectives, we first estimate a probit insurance participation decision model and then a fixed‐effects insurance volume decision model with Heckman's sample selection correction. Our results indicate that the managerial decision to purchase property insurance is positively related to company size and insolvency risks. By contrast, the amount of property insurance purchased is positively related to systematic risks but negatively related to insolvency and unsystematic risks and company size. We find that the amount of property insurance used by Chinese companies can also be affected by other factors (e.g., the cash flow constraints). In addition, the decision to purchase property insurance and the financial extent to which it is used varies among Chinese companies according to their geographical location. However, state ownership does not appear to be an important determinant of the purchase of property insurance by Chinese publicly listed companies.     

Overcoming Barriers to Life Insurance Coverage: A Behavioral Approach

While life insurance purchase decisions have long been studied, we still do not know how people decide if they need insurance or how much they need. Using in‐depth interviews, we peer into the black box of employee decision making to learn what people know about this employee benefit, and how they decide if it is of value for them. We find that individuals understand the need for life insurance, but find many behavioral economic barriers to getting adequate coverage, including mental accounting, money illusion, and a strong role of defaults. We then conduct an online experiment of the hypothetical employee‐benefit purchase scenario, and find a few, simple interventions could help individuals better decide their life insurance needs.     

Longevity Risk Management in Singapore's National Pension System

Although annuities are a theoretically appealing way to manage longevity risk, in the real world relatively few consumers purchase them at retirement. To counteract the possibility of retirees outliving their assets, Singapore's Central Provident Fund, a national defined contribution pension scheme, has recently mandated annuitization of workers’ retirement assets. More significantly, the government has entered the insurance market as a public‐sector provider for such annuities. This article evaluates the money's worth of life annuities and discusses the impact of the government mandate and its role as an annuity provider on the insurance market.     

Portfolio rebalancing and the transmission of large-scale asset purchase programs: Evidence from the Euro area

The European Central Bank's large-scale asset purchase program targeted safe assets, but also aimed to impact prices of risky assets. The mechanism for this is the “portfolio rebalancing channel”, where financial institutions’ portfolio decisions impact financial prices more broadly. We examine this mechanism using cross-sectional heterogeneity in how the financial portfolios of different sectors of the European economy were affected around the purchase program. We find evidence of rebalancing. In vulnerable countries, where macroeconomic unbalances and relatively high risk premia remained, we document rebalancing towards riskier securities. In less vulnerable countries, based on granular information for large European banks, we document rebalancing toward bank loans.     

The role of life insurance in an emerging economy: Human capital protection,assets allocation and social interaction

In this paper, we provide micro-econometric evidence on the determinants of life insurance demand in China, the largest emerging market in the world. We employ the China Household Income Project (CHIP) dataset for the year 2002 in the analysis. The timing is ideal, because of the nature of the less well developed capital markets and social security systems in China in 2002, which sets a suitable stage to study the insurance demand behavior of emerging markets. The results indicate that both the human capital protection motive and the asset allocation motive are important in explaining the purchase of life insurance in China. In addition, we present three empirical regularities: (1) the positive correlation between the returns to human capital and the returns to market portfolio decrease the demand for life insurance; (2) both the current wealth and future income of a household exert curvilinear impacts on life insurance demand; (3) the breadth of a households social connections has substantial impacts on life insurance demand.     

Can the Life Insurance Market Provide Evidence for a Bequest Motive?

Using U.K. microeconomic data, we analyze the empirical determinants of participation in the life insurance market. We find that term insurance demand is positively correlated with measures of bequest motives like being married, having children, and/or subjective measures of strong bequest motives. We then show that a life‐cycle model of life insurance demand, saving, and portfolio choice can rationalize quantitatively the data in the presence of a bequest motive. These findings provide evidence supporting the presence of a bequest motive.     

Systemic risk of insurers around the globe

We study the exposure and contribution of 253 international life and non-life insurers to systemic risk between 2000 and 2012. For our full sample period, we find systemic risk in the international insurance sector to be small. In contrast, the contribution of insurers to the fragility of the financial system peaked during the recent financial crisis. In our panel regressions, we find the interconnectedness of large insurers with the insurance sector to be a significant driver of the insurers’ exposure to systemic risk. In contrast, the contribution of insurers to systemic risk appears to be primarily driven by the insurers’ leverage.     

Don't They Care? Or,Are They Just Unaware? Risk Perception and the Demand for Long‐Term Care Insurance

The potential need for long‐term care (LTC) is one of the greatest financial risks faced not only by the elderly but also by their adult children, who often provide care or financial assistance. We investigate adult children's role in the demand for LTC insurance. Similar to flood insurance, we find that demand for LTC insurance is low due to low risk perception. The more aware adult children are of the risk, the more likely LTC insurance is to be purchased, either by the children themselves on behalf of their parents or by the parents under the influence of their children.     

Household Life Insurance Demand

Abstract

What types of households own life insurance? Who owns term life and who owns whole life insurance? These are questions of great interest to insurers that operate in a highly competitive market. To answer these questions, we jointly examine household demand of two types of insurance, term and whole life, using data from the Survey of Consumer Finances, a probability sample of the U.S. population. We model both the frequency and the severity of demand for insurance, building on the work of Lin and Grace by using explanatory variables that they developed. For the frequency portion, the household decisions about whether to own term and whole life insurance are modeled simultaneously with a bivariate probit regression model. Given ownership of life insurance by a household, the amounts of insurance are analyzed using generalized linear models with a normal copula. The copula permits the bivariate modeling of insurance amounts for households who own both term and whole life insurance, about 20% of our sample. These models allow analysts to predict who owns life insurance and how much they own, an important input to the marketing process.

Moreover, our findings suggest that household demand for term and whole life insurance is jointly determined. After controlling for explanatory variables, there exists a negative relationship for a household’s decision to own both whole and term life insurance (the frequency part) and a positive relationship for the amount of insurance purchased (the severity part). This indicates that the greater the probability of holding one type, the smaller the probability of holding the other type of life insurance. However, higher demand for both types of insurance exists when a household decides to own both. This mixed effect extends prior work that established a negative relationship, suggesting that term life insurance and whole life insurance are substitutes for one another. In contrast, our findings reveal that the ownership decision involves substitution, but, for households owning both types of insurance, amounts are positively related. Therefore, term and whole life insurance are substitutes in the frequency yet complements in the severity.