Accessibility of flood risk insurance in the UK: confusion,competition and complacency

Flood risk insurance can be an effective tool in assisting the restoration of damaged property after a flood event and sustaining communities through difficult times. It can also form part of a wider flood risk management strategy. In the light of recent flood events in the UK and in the context of changing property insurance markets, the universal cover previously enjoyed by floodplain residents has been called into question. Conflicting media and industry views leave the floodplain resident and the wider community in confusion. A survey of floodplain residents in England regarding their experience with flooding and flood insurance in England has been undertaken. The results reveal that some floodplain residents do indeed encounter difficulties when seeking insurance for their homes. However, despite the risk‐averse policies of some insurers, availability of insurance is still strong in both at‐risk and previously flooded locations. Success in gaining insurance may lead to complacency among residents who see no advantage in pursuing other, more costly, damage mitigation actions. As a tool in risk management, therefore, the market is prevented from realising its potential by competition, which results in a lack of a consistent approach, rewards homeowners' search strategies and reduces information flow.     

Understanding the motivations of coastal residents to voluntarily purchase federal flood insurance

Federally-backed flood insurance is the primary mechanism by which residents in the United States (US) prepare for and recover from floods. While there is a growing literature on the general uptake of flood insurance, little work has been done to address the factors motivating residents to voluntarily buy and maintain federally-based insurance policies. We address this issue by conducting a survey of coastal residents in four localities in Texas and Florida. Based on survey responses, we quantitatively examine the factors influencing whether residents located outside of the 100-year floodplain obtain insurance policies when it is not required. Using two-sample t-tests and binary logistic regression analysis to control for multiple contextual and psychological variables, we statistically isolate the factors contributing most to the decision to purchase insurance. Our findings indicate that a resident located outside the 100-year floodplain who has voluntarily purchased federal flood insurance can be characterized, on average, as more highly educated, living in relatively expensive homes, and a long-time resident who thinks about flood hazard relatively infrequently but who, nonetheless, thinks flood insurance is relatively affordable. Unexpectedly, the physical proximity of a respondent to flood hazard areas makes little or no discernible difference in the decision to obtain flood insurance.     

Flood Insurance Coverage in the Coastal Zone

We explore determinants of flood insurance demand in the coastal zone using micro‐data for nine Southeastern counties. Overall estimates indicate price inelastic demand, though subsidized policyholders have greater coverage and are more price sensitive. Mortgage borrowers exhibit no greater coverage; only 12 percent in 100‐year flood zone indicate flood insurance was required by their lender. Flood insurance demand is increasing in the levels of flood and erosion risk. We find a positive correlation between household income and coverage, but the effect is not monotonic. Community‐level erosion hazard mitigation projects influence flood insurance coverage, with beach replenishment acting as a complement.     

Financial literacy and stock market participation

We have devised two special modules for De Nederlandsche Bank (DNB) Household Survey to measure financial literacy and study its relationship to stock market participation. We find that the majority of respondents display basic financial knowledge and have some grasp of concepts such as interest compounding, inflation, and the time value of money. However, very few go beyond these basic concepts; many respondents do not know the difference between bonds and stocks, the relationship between bond prices and interest rates, and the basics of risk diversification. Most importantly, we find that financial literacy affects financial decision-making: Those with low literacy are much less likely to invest in stocks.     

美国洪水保险计划的运营启示

在我国,洪水灾害是主要的自然灾害之一。然而,洪水保险制度却迟迟未能建立。本文搜集和分析有关美国洪水保险计划(NFIP)的最新文献,对以NFIP为代表的政府主导洪水保险运营模式进行了历史脉络的梳理,研究了其法制发展、运营现状、模式特色以及出现的问题,最后对洪水保险的政府运营模式进行了启发式的总结和建议。     

Flood Hazards, Insurance Rates, and Amenities: Evidence From the Coastal Housing Market

This study employs the hedonic property price method to examine the effects of flood hazard on coastal property values. We utilize Geographic Information System data on National Flood Insurance Program flood zones and residential property sales from Carteret County, North Carolina. Our results indicate that location within a flood zone lowers property value. Price differentials for flood risk and the capitalized value of flood insurance premiums are roughly equivalent—both exhibiting a nonlinear relationship in flood probability. Our results support the conclusion that flood zone designation and insurance premiums convey risk information to potential buyers in the coastal housing market.     

A Theory of the Demand for Underwriting

We examine the demand for underwriting and its effect on equilibrium in an insurance market in which insureds know their risk type, but insurers do not. Our analysis indicates that a set of policies including one that requires buyers to take an underwriting test can constitute a full coverage Nash equilibrium when perfect classification is possible. We also find that underwriting equilibria, in which low risks obtain greater coverage than they would without underwriting, widely exist in a Wilsonian market with nonmyopic insurers. Our findings provide a potential explanation for why empirical evidence on adverse selection is mixed.     

Housing prices and flood risk: An examination using spline regression

This article examines the impact of flood risk and mandatory flood insurance on property values. Using a large data set of almost 2,000 homes sold in the New Orleans, Louisiana, area from 1971 through 1986, the analysis confirms the finding of earlier studies that location in a floodplain does reduce property values. The present study, using spline variables to adjust for locational variation in the data and an improved measure of insurance cost, reveals that much of this reduction can be attributed to mandatory flood insurance coverage. Moreover, while unexpected flooding does increase the insurance cost capitalization, repeated flooding does not seem to reduce property values further.     

Come Rain or Shine: Evidence on Flood Insurance Purchases in Florida

This article provides a detailed analysis of the operation of the National Flood Insurance Program (NFIP) in Florida, which accounts for 40 percent of the NFIP portfolio. We study the demand for flood insurance with a data set of more than 7.5 million NFIP policies‐in‐force (the largest ever studied) for the years 2000–2005, as well as all NFIP claims filed in Florida. We answer four questions: What are the characteristics of the buyers of flood insurance? What types of contracts (deductibles and coverage levels) are purchased? What are the determinants of claims payments? How are prices determined and how much does NFIP insurance cost?     

Financial literacy and financial resilience: Evidence from around the world

We measure financial literacy using questions assessing basic knowledge of four fundamental concepts in financial decision making: knowledge of interest rates, interest compounding, inflation, and risk diversification. Worldwide, just one in three adults are financially literate—that is, they know at least three out of the four financial concepts. Women, poor adults, and lower educated respondents are more likely to suffer from gaps in financial knowledge. This is true not only in developing countries but also in countries with well-developed financial markets. Relatively low financial literacy levels exacerbate consumer and financial market risks as increasingly complex financial instruments enter the market. Credit products, many of which carry high interest rates and complex terms and conditions, are becoming more readily available. Yet only around half of adults in major emerging countries who use a credit card or borrow from a financial institution are financially literate. We discuss policies to protect borrowers against risks and encourage account holders to save.     

Extending financial literacy to insurance literacy: a survey approach

We extend behavioural research in investment and retirement savings to insurance, by investigating factors that may influence individuals’ insurance decision making. These factors include financial literacy, specialist insurance education and some behavioural biases. Based on a definition of insurance literacy that requires both having, and applying insurance knowledge, we find from a survey of postgraduate students that financial literacy does not necessarily translate to insurance literacy, whereas more specialised education can improve insurance literacy. Results also indicate specialist education potentially reduces susceptibility to anchoring effects.     

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.     

Cybersecurity insurance and risk-sharing

In today’s interconnected digital world, cybersecurity risks and resulting breaches are a fundamental concern to organizations and public policy setters. Accounting firms, as well as other firms providing risk advisory services, are concerned about their clients’ potential and actual breaches. Organizations cannot, however, eliminate all cybersecurity risks so as to achieve 100% security. Furthermore, at some point additional cybersecurity measures become more costly than the benefits from the incremental security. Thus, those responsible for preventing cybersecurity breaches within their organizations, as well as those providing risk advisory services to those organizations, need to think in terms of the cost-benefit aspects of cybersecurity investments. Besides investing in activities that prevent or mitigate the negative effects of cybersecurity breaches, organizations can invest in cybersecurity insurance as means of transferring some of the cybersecurity risks associated with potential future breaches.This paper provides a model for selecting the optimal set of cybersecurity insurance policies by a firm, given a finite number of policies being offered by one or more insurance companies. The optimal set of policies for the firm determined by this selection model can (and often does) contain at least three areas of possible losses not covered by the selected policies (called the Non-Coverage areas in this paper). By considering sets of insurance policies with three or more Non-Coverage areas, we show that a firm is often better able to address the frequently cited problems of high deductibles and low ceilings common in today’s cybersecurity insurance marketplace. Our selection model facilitates improved risk-sharing among cybersecurity insurance purchasers and sellers. As such, our model provides a basis for a more efficient cybersecurity insurance marketplace than currently exists. Our model is developed from the perspective of a firm purchasing the insurance policies (or the risk advisors guiding the firm) and assumes the firm’s objective in purchasing cybersecurity insurance is to minimize the sum of the costs of the premiums associated with the cybersecurity insurance policies selected and the sum of the expected losses not covered by the insurance policies.     

An application of two-stage quantile regression to insurance ratemaking

Two-part models based on generalized linear models are widely used in insurance rate-making for predicting the expected loss. This paper explores an alternative method based on quantile regression which provides more information about the loss distribution and can be also used for insurance underwriting. Quantile regression allows estimating the aggregate claim cost quantiles of a policy given a number of covariates. To do so, a first stage is required, which involves fitting a logistic regression to estimate, for every policy, the probability of submitting at least one claim. The proposed methodology is illustrated using a portfolio of car insurance policies. This application shows that the results of the quantile regression are highly dependent on the claim probability estimates. The paper also examines an application of quantile regression to premium safety loading calculation, the so-called Quantile Premium Principle (QPP). We propose a premium calculation based on quantile regression which inherits the good properties of the quantiles. Using the same insurance portfolio data-set, we find that the QPP captures the riskiness of the policies better than the expected value premium principle.     

Financial literacy and the timing of tax-preferred savings account withdrawals

Tax deductions on contributions to registered savings vehicles are a common policy tool used by governments in many industrialized countries to encourage people to save for retirement. However, these plans do not typically lock in funds, which means savers may also withdraw before retirement when their marginal tax rates are still high and forgo the tax benefit. In this paper, we investigate the extent to which pre-retirement savings withdrawals respond to changes in the net-of-tax benefit of withdrawing and whether such behavior depends on the saver’s financial literacy. To that end, we link respondents of a nationally representative financial capability survey from Canada to over 15 years of administrative tax data. Our results show that the correlation between savings withdrawals and the effective marginal tax rate is negative for those with higher financial literacy, but much weaker and sometimes statistically insignificant for those with lower financial literacy. The findings suggest that financial literacy is an important determinant of the extent to which tax-deductible savings plans are used efficiently.     

失业保险与公司财务杠杆

我国劳动力市场化程度日益加深导致劳动者职业转换愈加频繁,失业保险的作用日益突出。本文探究了失业保险金水平对企业财务杠杆的影响。运用2009—2019年上市公司数据进行实证分析,结果发现失业保险金上升会导致公司财务杠杆下降。渠道检验显示,提高失业保险金可以降低员工失业风险溢酬,公司劳动力成本下降,公司有更多自由现金流和盈利进行内源融资和偿还债务,公司财务杠杆下降。进一步分析发现,失业保险金的作用在失业率高的地区更加显著。主要结果在分别运用《社会保险法》和《关于调整失业保险金标准的指导意见》构造双重差分模型和工具变量解决内生性问题、更改模型设置、排除投资水平影响、删除特殊省份、更换样本期间后,依然成立。本文结果说明加大失业保险保障力度有助于降低企业财务风险。     

Knowledge and opinions about banking supervision: Evidence from a survey of Dutch households

What does the general public know about banking supervision? What objectives does the public think bank supervisors should pursue? We investigate these issues using a survey among Dutch households. First, we find that the public's knowledge about banking supervision is far from perfect. We also find that respondents often expect more from supervisors than they can realistically achieve. Finally, our findings suggest that better-informed people have more realistic views on banking supervision. Realistic views on banking supervision lead to more prudent financial behavior, which, in turn, contributes to financial stability. Therefore, the communication policies of banking supervisors should aim to improve the public's knowledge about banking supervision.     

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.     

Private Hochwasservorsorge und Elementarschadenversicherung

In light of increasing flood damage, private flood mitigation gains more relevance. We investigate empirically whether the uptake of private flood mitigation measures in Germany is affected by (a) the perceived flood insurance coverage, and (b) public information campaigns focussing on flood hazards. We use a novel longitudinal dataset of more than 3200 households and employ a difference-in-differences estimation approach. The results show that households who state a change in their insurance status and report themselves as being insured mitigate more, not less. This contradicts the expectation of moral hazard and suggests that insurance and mitigation are rather seen as complements than substitutes. Moreover, the survey data suggest that many households falsely expect being flood-insured. Public information campaigns show no measurable effect on the flood mitigation behaviour of households, which poses questions about the effectiveness of large-scale information campaigns. In tendency, our results support the idea of compulsory flood insurance.     

Basic debt literacy and debt behavior

Using unique survey data from 1001 individuals representative of the French population, we document that less than half of the sample (47%) can provide correct answers to two basic questions addressing the functioning of debt interests. This proportion is higher among credit users, but the improvement emerges mainly from mortgagors (55%) and much less from consumer credit users (51%). Furthermore, among consumer credit users, the portion of respondents giving at least one erroneous answer (i.e. neither correct nor “don't know”) is above one third and significantly higher than in the rest of the population (35% vs. 30%). Next, with regressions, controlling for a wide array of socio-demographic variables and potential confounding factors like present-biased preferences or saving-oriented literacy, we show that incorrect answers to debt literacy questions predict a greater propensity to use consumer debt and to use it in a more expensive way (i.e. choosing lower settlements). Lastly, we find that respondents who answer debt literacy questions incorrectly are not more likely to report intention to take financial education training or to seek financial advice from a bank advisor, even when such respondents also present a high propensity to use debt or to use it in an expensive way.