As health care concerns grow in the U.S., medical anthropologist Linda M. Whiteford and social psychologist Larry G. Branch present their findings on a health care anomaly, from an unlikely source. Primary Health Care in Cuba examines the highly successful model of primary health care in Cuba following the 1959 Cuban Revolution. This model, developed during a time of dramatic social and political change, created a preventive care system to better provide equity access to health care. Cuba's recognition as a paragon of health care has earned praise from the World Health Organization, UNICEF, and the Pan American Health Organization. In this book, Whiteford and Branch explore the successes of Cuba's preventive primary health care system and its contribution to global health.

Claims reserving is central to the insurance industry. Insurance liabilities depend on a number of different risk factors which need to be predicted accurately. This prediction of risk factors and outstanding loss liabilities is the core for pricing insurance products, determining the profitability of an insurance company and for considering the financial strength (solvency) of the company.

Following several high-profile company insolvencies, regulatory requirements have moved towards a risk-adjusted basis which has lead to the Solvency II developments. The key focus in the new regime is that financial companies need to analyze adverse developments in their portfolios. Reserving actuaries now have to not only estimate reserves for the outstanding loss liabilities but also to quantify possible shortfalls in these reserves that may lead to potential losses. Such an analysis requires stochastic modeling of loss liability cash flows and it can only be done within a stochastic framework. Therefore stochastic loss liability modeling and quantifying prediction uncertainties has become standard under the new legal framework for the financial industry.

This book covers all the mathematical theory and practical guidance needed in order to adhere to these stochastic techniques. Starting with the basic mathematical methods, working right through to the latest developments relevant for practical applications; readers will find out how to estimate total claims reserves while at the same time predicting errors and uncertainty are quantified. Accompanying datasets demonstrate all the techniques, which are easily implemented in a spreadsheet. A practical and essential guide, this book is a must-read in the light of the new solvency requirements for the whole insurance industry

Over the past two decades, the United States has successfully deregulated prices and restrictions on most previously-regulated industries, including airlines, trucking, railroads, telecommunications, and banking. Only a few industries remain regulated, the largest being the property-liability insurance business. In light of recent sweeping financial modernization legislation in other sectors of the insurance industry, this timely volume examines the basis for continued regulation of rates and forms of the U.S. property-liability insurance market. The book focuses on private passenger automobile insurance --the most important personal line of property-liability coverage, with annual premiums of about $120 billion. The authors analyze five state case studies: California, Massachusetts, and New Jersey --three of the most heavily regulated states --as well as Illinois, which has been deregulated for about 30 years, and South Carolina, which began to deregulate in 1997. The study also includes an econometric analysis based on all fifty states over a 25-year period that gauges the impact of regulation on insurance price levels, price volatility, and the proportion of automobiles insured in residual markets. The authors conclude that regulation does not significantly reduce long-run prices for consumers, and generally limits availability of coverage, reduces the quality and variety of services available in the market, inhibits productivity growth, and increases price volatility. Contributors include Dwight Jaffee (University of California, Berkeley), Thomas Russell (Santa Clara University ), Laureen Regan (Temple University), Sharon Tennyson (Cornell University), Mary Weiss (Temple University), John Worrall (Rutgers University), Stephen D'Arcy (University of Illinois, Urbana-Champaign), Martin Grace (Georgia State University), Robert Klein (Georgia State University), Richard Phillips (Georgia State University), Georges Dionne (University of Montreal), and Richard Butler (Brigham Young University).

This textbook provides a broad overview of the present state of insurance mathematics and some related topics in risk management, financial mathematics and probability. Both non-life and life aspects are covered. The emphasis is on probability and modeling rather than statistics and practical implementation. Aimed at the graduate level, pointing in part to current research topics, it can potentially replace other textbooks on basic non-life insurance mathematics and advanced risk management methods in non-life insurance. Based on chapters selected according to the particular topics in mind, the book may serve as a source for introductory courses to insurance mathematics for non-specialists, advanced courses for actuarial students, or courses on probabilistic aspects of risk. It will also be useful for practitioners and students/researchers in related areas such as finance and statistics who wish to get an overview of the general area of mathematical modeling and analysis in insurance.

Disability insurance, long-term care insurance, and critical illness cover are becoming increasingly important in developed countries as the problems of demographic aging come to the fore. The private sector insurance industry is providing solutions to problems resulting from these pressures and other demands of better educated and more prosperous populations. Actuarial Models for Disability Insurance examines the actuarial structure of disability insurance, long-term care insurance, and critical illness cover, including problems encountered in the design and development of such insurances. Actuarial problems such as pricing and reserving are considered within the context of multiple state modeling, providing a vigorous and sound framework for analyzing personal insurances.

This volume is an exploration of the ethical issues raised by health insurance, which is particularly timely in the light of recent advances in medical research and political economy. Focusing on a wide range of areas, such as AIDS, genetic engineering, screening and underwriting, new disability legislation and the ethics of private and public health insurance, this comprehensive and sometimes controversial book provides an essential survey of the key issues in health insurance. Divided into two parts, the first considers the ethics of underwriting, risk assessment and the acceptance and refusal of insurance risk by insurers. Discussing the unjust treatment of high-risk applicants, the authors identify sources of unfairness to both parties of the insurance contract, indicating how reasonable trade-offs can be made. The second part considers the argument for a mix of public and private insurance for acute and long-term care, offering recommendations for changes in the balance of social insurance, and discussing the shift toward long-term contracts in private health care and pension insurance.

This volume is an exploration of the ethical issues raised by health insurance, which is particularly timely in the light of recent advances in medical research and political economy. Focusing on a wide range of areas, such as AIDS, genetic engineering, screening and underwriting, new disability legislation and the ethics of private and public health insurance, this comprehensive and sometimes controversial book provides an essential survey of the key issues in health insurance. Divided into two parts, the first considers the ethics of underwriting, risk assessment and the acceptance and refusal of insurance risk by insurers. Discussing the unjust treatment of high-risk applicants, the authors identify sources of unfairness to both parties of the insurance contract, indicating how reasonable trade-offs can be made. The second part considers the argument for a mix of public and private insurance for acute and long-term care, offering recommendations for changes in the balance of social insurance, and discussing the shift toward long-term contracts in private health care and pension insurance.

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Variable annuities now outpace mutual funds as the number one choice among street-smart investors—and it's easy to see why. Tax-deferred, commission-free, easy to purchase and redeem, carrying less risk than most other instruments, and exhibiting a superb overall performance, they are an indispensable addition to any low-risk, high-yield portfolio. Now, in the first book of its kind, financial planning expert Gordon Williamson demystifies annuities investing. Writing in a straightforward, down-to-earth style, he:

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Concentrating on practical examples, this text is presented in the style of a workbook for anyone involved in reinsurance operations. It includes 33 slip examples complete with underwriting information and comment. Chapters include coverage of reinsurance line limits and retentions, expenses, accumulation and reinsurance protection, systems and controls, rescuing and underwriting examples.

Originally published in 1979, The Investment Behaviour of British Life Insurance Companies provides a critical analysis of the investment policy of the life insurance industry for the period of 1962-76, and attempts to construct an econometric model of the investment behaviour. It looks at the portfolio composition of life funds and their position in the markets for securities in terms of their gross purchases and sales and net acquisitions. It also considers the principles on which life offices appear to operate the principles on which life offices appear to operate in respect of investing their 'reserves' to meet future contingent liabilities. This book will appeal to those working in the field of economic and business.

Practical Risk Theory is designed to be a textbook for practising actuaries and student actuaries on the practical aspects of stochastic modelling of the insurance business. It has its roots in the classical theory of risk but introduces many new elements that are important in managing the insurance business but which are usually ignored in the classical theory. These include modelling the stochastic behaviour of inflation and investments, cyclical effects on both claims and premiums, claaim run-off uncertainty and feed-back mechanisms. The main focus of the book is on general insurance (property/casualty insurance) but there are also chapters in life insurance and pensions. Practical tips are given for the use of simulation to solve both short-term and long-term problems, with many practical applications. The text avoids the use of complex or abstruse mathematical formulations and makes liberal use of diagrams and graphical representations.

This book focuses on the application of the partial hedging approach from modern math finance to equity-linked life insurance contracts. It provides an accessible, up-to-date introduction to quantifying financial and insurance risks. The book also explains how to price innovative financial and insurance products from partial hedging perspectives. Each chapter presents the problem, the mathematical formulation, theoretical results, derivation details, numerical illustrations, and references to further reading.

American state and Canadian provincial governments have dealt with rapidly rising auto insurance rates in different ways over the last two decades, a difference many attribute to variances in political pressure exerted by interest groups such as trial attorneys and insurance companies. Edward L. Lascher, Jr., argues that we must consider two additional factors: the importance of politicians' beliefs about the potential success of various solutions and the role of governmental institutions.

Using case studies from both sides of the border, Lascher shows how different explanations of the problem and different political structures affect insurance reform. In his conclusion, Lascher moves beyond auto insurance to draw implications for regulation and policymaking in other areas.

By the eve of the Great Depression, there existed in America the equivalent of a policy for every man, woman and child, and in Britain it grew from its narrow aristocratic base to cover all social classes. This primary resource collection is the first comparative history of British and American life insurance industries.

By the eve of the Great Depression, there existed in America the equivalent of a policy for every man, woman and child, and in Britain it grew from its narrow aristocratic base to cover all social classes. This primary resource collection is the first comparative history of British and American life insurance industries.

Few people realize that one of the nation's largest health programs runs through the tax system. Reformers of all stripes propose to modify current tax rules as part of larger programs to increase coverage and control costs. Is the current system working? Will tax-based reforms achieve their goals? Several of the nation's foremost experts on taxation and health policy address these questions in Using Taxes to Reform Health Insurance, a joint product of the Urban-Brookings Tax Policy Center and the American Tax Policy Institute. Led by respected economists Henry Aaron of the Brookings Institution and Leonard Burman of the Urban Institute, contributors examine the role taxes currently play, the likely effects of recently introduced health savings accounts, the challenges of administering major subsidies for health insurance through the tax system, and options for using the tax system to expand health insurance coverage. No taxpayer or consumer of health care services can afford to ignore these issues.

Actuaries are experts in assessing risk, so it is not surprising that over the past few years they have become involved in many new areas of financial planning, including the appraisal of major capital projects. In this collection of essays published to celebrate the Institute of Actuariesa 150th Anniversary, leading experts describe how actuarial concepts have contributed to many important social and financial developments, and how these ideas will continue to "make financial sense of the future." Even non--mathematicians will find this book useful in understanding how the scientific bases of the insurance and pensions industries grew up, and how they work today. The authors each write from the perspective of their own special expertise. They include five former presidents of the Institute of Faculty of Actuaries.

The life insurance industry was one of the most important financial institutions of the long 19th century, on both sides of the Atlantic. By the eve of the Great Depression, there existed in America the equivalent of a policy for every man, woman and child alive at the time, whilst in Britain the life insurance market grew steadily from its narrow aristocratic base to encompass all social classes at home and throughout the empire. The sources in this edition are collected in three themed volumes.

Risk Analysis in Finance and Insurance, Second Edition presents an accessible yet comprehensive introduction to the main concepts and methods that transform risk management into a quantitative science. Taking into account the interdisciplinary nature of risk analysis, the author discusses many important ideas from mathematics, finance, and actuarial science in a simplified manner. He explores the interconnections among these disciplines and encourages readers toward further study of the subject. This edition continues to study risks associated with financial and insurance contracts, using an approach that estimates the value of future payments based on current financial, insurance, and other information. New to the Second Edition Expanded section on the foundations of probability and stochastic analysis Coverage of new topics, including financial markets with stochastic volatility, risk measures, risk-adjusted performance measures, and equity-linked insurance More worked examples and problems Reorganized and expanded, this updated book illustrates how to use quantitative methods of stochastic analysis in modern financial mathematics. These methods can be naturally extended and applied in actuarial science, thus leading to unified methods of risk analysis and management.

The business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. Written from a non-IT perspective, this book focusses less on the architecture and technical details, instead providing practical guidance on translating analytics into target delivery. The discussion examines implementation, interpretation, and application to show you what Big Data can do for your business, with insights and examples targeted specifically to the insurance industry. From fraud analytics in claims management, to customer analytics, to risk analytics in Solvency 2, comprehensive coverage presented in accessible language makes this guide an invaluable resource for any insurance professional. The insurance industry is heavily dependent on data, and the advent of Big Data and analytics represents a major advance with tremendous potential yet clear, practical advice on the business side of analytics is lacking. This book fills the void with concrete information on using Big Data in the context of day-to-day insurance operations and strategy. * Understand what Big Data is and what it can do * Delve into Big Data's specific impact on the insurance industry * Learn how advanced analytics can revolutionise the industry * Bring Big Data out of IT and into strategy, management, marketing, and more Big Data and analytics is changing business but how? The majority of Big Data guides discuss data collection, database administration, advanced analytics, and the power of Big Data but what do you actually do with it? Big Data and Analytics for Insurers answers your questions in real, everyday business terms, tailored specifically to the insurance industry's unique needs, challenges, and targets.

Reflecting the author's wealth of experience in this field, Handbook of Solvency for Actuaries and Risk Managers: Theory and Practice focuses on the valuation of assets and liabilities, the calculation of capital requirement, and the calculation of the standard formula for the European Solvency II project. The first three sections of the book examine the solvency concept, historical development, and the role of solvency in an enterprise risk management approach. The text provides a general discussion on valuation, investment, and capital, along with modeling and measuring. It also covers dependence, risk measures, capital requirements, subrisks, aggregation, the main risks market, and credit, operational, liquidity, and underwriting risks. The last three sections focus on the European Solvency II project. Basing the material on CEIOPS final advice, the author presents the general ideas, valuation, investments, and funds of this project as well as the standard formula framework. He also includes all calibrations from previous quantitative impact studies and discusses the political progress of the project. A one-stop shop for actuaries and risk managers, this handbook offers a complete overview of solvency and the European Solvency II standard formula. It gives a clear definition and broad historical review of solvency and incorporates a comprehensive discussion of the theory behind the calculation of the capital requirement. Updates on solvency projects and issues are available at www.SolvencyII.nu

Discover what demographics can tell us about the economy, markets, and the future In Demographics Unravelled, renowned Macro-Demographics expert Amlan Roy delivers an insightful and timely exploration of the impact that "people characteristics" have on national economies. Considering factors like gender, race, migrant status, family background, and education, the author delves deeply into a subject that drives market behavior and economic variables, including growth, debt, inflation, employment, and productivity. These have national and international policy implications. In this one-of-a-kind book, you'll discover: Why the study of demographics is the hidden key to understanding economic growth, asset prices, and capital flows How to use detailed demographics to forecast future scenarios in economics, socioeconomics, geopolitics, and the environment The short-, medium-, and long-term effects of consumer and worker behavior How understanding demographics is key to understanding health, pensions, migration, sustainability and social policies. It is intimately linked to the Sustainable Development Goals of the UN--Gender, Climate, Poverty and Inequality Perfect for institutional investors, insurance professionals, economists, and business leaders, Demographics Unravelled will also earn a place in the libraries of academics and students studying a variety of economic disciplines and seeking a one-stop and in-depth discussion of demographics-driven macroeconomic effects.

The book encompasses the broad field of e-Finance and its transformation. After reviewing the developments in the economic and the technology fields, it examines how the insurance, banking, and securities trading firms are bringing about the digital revolution and adapting in the same breath to the changed socio-economic environment. Add to it, the "Rogue Elements", the field of cyber crimes is covered on a priority basis. The book also covers the inevitable changes in fields of HR and Marketing and the crucial role of the regulators. Looked at through the eyes of Corporate Planner, the book does provide a road map for the financial institutions (FIs).

Climate change brings about a new set of major economic risks arising from changing weather patterns, extreme weather events and rising sea levels. Most at risk are developing countries who, despite considerable post-disaster donor aid, have been bearing the major brunt of disaster-related losses. One adaptation solution that is rapidly gaining the support of countries and international donors is a risk transfer to the global reinsurance and capital markets. This volume, a special issue of the journal Climate Policy, explores the role that insurance-based mechanisms can play in helping developing countries prepare for climate change. It offers a unique and comprehensive perspective on the potential role of insurance solutions in global adaptation to climate change and attempts to engender debate on the role of insurance in reducing global emissions and encouraging climate-friendly corporate behaviour.