Harmful competition in the insurance markets

There is a general presumption that competition is a good thing. In this paper we show that competition in the insurance markets can be bad and that adverse selection is in general worse under competition than under monopoly. The reason is that monopoly can exploit its market power to relax incentive constraints by cross-subsidization between different risk types. Cream-skimming behavior, on the contrary, prevents competitive firms from using implicit transfers. In effect monopoly is shown to provide better coverage to those buying insurance but at the cost of limiting participation to insurance. Performing simulation for di erent distributions of risk, we find that monopoly in general performs (much) better than competition in terms of the realization of the gains from trade across all traders in equilibrium. However, most of the surplus is retained by the firm and, as a result, most individuals prefer competitive markets notwithstanding their performance is generally poorer than monopoly.

Prevalence of frailty indicators and association with socioeconomic status in middle-aged and older adults in a swiss region with universal health insurance coverage : a population-based cross-sectional study

Frailty prevalence in older adults has been reported but is largely unknown in middle-aged adults. We determined the prevalence of frailty indicators among middle-aged and older adults from a general Swiss population characterized by universal health insurance coverage and assessed the determinants of frailty with a special focus on socioeconomic status. Participants aged 50 and more from the population-based 2006-2010 Bus Santé study were included (N = 2,930). Four frailty indicators (weakness, shrinking, exhaustion, and low activity) were measured according to standard definitions. Multivariate logistic regressions were used to determine associations. Overall, 63.5%, 28.7%, and 7.8% participants presented no frailty indicators, one frailty indicator, and two or more frailty indicators, respectively. Among middle-aged participants (50-65 years), 75.1%, 22.2%, and 2.7% presented 0, 1, and 2 or more frailty indicators. The number of frailty indicators was positively associated with age, hypertension, and current smoking and negatively associated with male gender, body mass index, waist-to-hip ratio, and serum total cholesterol level. Lower income level but not education was associated with higher number of frailty indicators. Frailty indicators are frequently encountered in both older and middle-aged adults from the Swiss general population. Despite universal health insurance coverage, household income is independently associated with frailty.

An Introduction to parametric and non-parametric models for bivariate positive insurance claim severity distributions

We present a real data set of claims amounts where costs related to damage are recorded separately from those related to medical expenses. Only claims with positive costs are considered here. Two approaches to density estimation are presented: a classical parametric and a semi-parametric method, based on transformation kernel density estimation. We explore the data set with standard univariate methods. We also propose ways to select the bandwidth and transformation parameters in the univariate case based on Bayesian methods. We indicate how to compare the results of alternative methods both looking at the shape of the overall density domain and exploring the density estimates in the right tail.

How much risk is mitigated by LTC Insurance? A case study of the public system in Spain

We present a methodology that allows to calculate the impact of a given Long-Term Care (LTC) insurance protection system on the risk of incurring extremely large individual lifetime costs. Our proposed methodology is illustrated with a case study. According to our risk measure, the current Spanish public LTC system mitigates individual risk by more than 30% compared to the situation where no public protection were available. We show that our method can be used to compare risk reduction of alternative LTC insurance plans.

Misallocation of capital in a model of endogenous financial intermediation and insurance

In this paper we analyze productivity and welfare losses from capital misallocation in a general equilibrium model of occupational choice and endogenous financial intermediation. We study the effects of borrowing and lending, insurance, and risk sharing on the optimal allocation of resources. We find that financial markets together with general equilibrium effects have large impact on entrepreneurs' entry and firm-size decisions. Efficiency gains are increasing in the quality of financial markets, particularly in their ability to alleviate a financing constraint by providing insurance against idiosyncratic risk.

A logistic regression approach to estimating customer profit loss due to lapses in insurance

This article focuses on business risk management in the insurance industry. A methodology for estimating the profit loss caused by each customer in the portfolio due to policy cancellation is proposed. Using data from a European insurance company, customer behaviour over time is analyzed in order to estimate the probability of policy cancelation and the resulting potential profit loss due to cancellation. Customers may have up to two different lines of business contracts: motor insurance and other diverse insurance (such as, home contents, life or accident insurance). Implications for understanding customer cancellation behaviour as the core of business risk management are outlined.

Price policies and Price dispersion in the private healthcare insurance industry: The Catalan case

We present an overlapping generations model that explains price dispersion among Catalonian healthcare insurance firms. The model shows that firms with different premium policies can coexist. Furthermore, if interest rates are low, firms that apply equal premium to all insureds can charge higher average prices than insurers that set premiums according to the risk of insured. Economic theory, health insurance, health economics.

Discrete time Non-homogeneous Semi-Markov Processes applied to Models for Disability Insurance

In this paper, we present a stochastic model for disability insurance contracts. The model is based on a discrete time non-homogeneous semi-Markov process (DTNHSMP) to which the backward recurrence time process is introduced. This permits a more exhaustive study of disability evolution and a more efficient approach to the duration problem. The use of semi-Markov reward processes facilitates the possibility of deriving equations of the prospective and retrospective mathematical reserves. The model is applied to a sample of contracts drawn at random from a mutual insurance company.

White Paper on Private Health Insurance

This White Paper, which arises from commitments in the Action Programme for the New Millennium, sets out the Government’s policy objectives and proposals regarding the role of private health insurance in the overall healthcare system, the regulation of the health insurance market, and the corporate structure and status of the Voluntary Health Insurance Board Download the Report here

Private Medical Insurance in Ireland

Private Medical Insurance in Ireland On 17 January 2007 The Minister for Health and Children announced that she had appointed a three person group comprising Colm Barrington (chair), Seamus Creedon and Dorothea Dowling (the Group) to carry out a business appraisal of the private medical insurance (PMI) market in Ireland and to report back to her on the subject by 31 March 2007. The Ministerâ?Ts announcement included the following terms of reference for the Group: Click here to download PDF 351kb

Supplementary Report of the HIA to the Minister for Health, in accordance with Section 7E(1)(b) of the Health Insurance Acts, 1994-2009 (Redacted Version)

The purpose of this Supplementary Report is to advise on how the budgetary measures impact on the conclusions in relation to tax credits and stamp duty included in the Authority’s November 2011 Report. in doing so, we will assess the direct impacts and we will discuss some scenarios. However, the Authority’s advice in this area relies on projections of the health insurance market and, in light of the above, there is considerable uncertainty surrounding any projections of how claims inflation or the market size may develop, even in the short and medium terms. Supplementary Report of the HIA to the Minister for Health, in accordance with Section 7E(1)(b) of the Health Insurance Acts, 1994-2009 (Redacted Version) Click here to download PDF 3.2mb

Report of the HIA to the Minister for Health, in accordance with Section 7E(1)(b) of the Health Insurance Acts, 1994-2009 (Redacted Version)

The Authority has been asked by the Minister for Health to prepare a Report under Section 7E (1) (b) of the Health Insurance Acts 1994-2009 (“the Health Insurance Acts”). For the purposes of the legislation, the relevant period is 1 July 2010 to 30 June 2011. The basis of the Report is specified in the legislation   Click here to download PDF 7.3mb Click here to download the supplementary document PDF 3.2mb

Review of Measures to Reduce Costs in the Private Health Insurance Market 2013

Independent Report to the Minister for Health and Health Insurance Council Click here to download PDF 179KB  

Report to the Minister for Health from the Health Insurance Authority (Redacted) on an evaluation and analysis of returns for 1 July 2012 to 30 June 2013 including advice on risk equalisation credits

Report to the Minister for Health from the Health Insurance Authority (Redacted) on an evaluation and analysis of returns for 1 July 2012 to 30 June 2013 including advice on risk equalisation credits Click here to download PDF 11MB