Foreword by Harvey V. Fineberg, President of the Institute of MedicineFor decades, experts have puzzled over why the US spends more on health care but suffers poorer outcomes than other industrialized nations. Now Elizabeth H. Bradley and Lauren A. Taylor marshal extensive research, including a comparative study of health care data from thirty countries, and get to the root of this paradox: We've left out of our tally the most impactful expenditures countries make to improve the health of their populations,investments in social services. In The American Health Care Paradox , Bradley and Taylor illuminate how narrow definitions of health care," archaic divisions in the distribution of health and social services, and our allergy to government programs combine to create needless suffering in individual lives, even as health care spending continues to soar. They show us how and why the US health care system" developed as it did examine the constraints on, and possibilities for, reform and profile inspiring new initiatives from around the world. Offering a unique and clarifying perspective on the problems the Affordable Care Act won't solve, this book also points a new way forward.

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.

Government subsidized crop insurance has been used by a number of developed countries as a mechanism to reduce farm income instability by reducing yield risks. This book provides an in-depth analysis and evaluation of government provided crop insurance in developed countries. The book is organized into three sections: Part one presents background material on crop insurance programs in the U.S., Canada and selected other countries. Part two provides some analytical models of multiple peril crop insurance which suggest the possibility of modification of design which could improve performance and which explores theoretical linkages between crop insurance decisions and other producer decisions previously not analyzed. The main part of the book is Part three, where the results of a series of empirical studies using databases particularly designed to answer crop insurance questions are presented. This part of the book tests a number of the hypotheses which were raised in Parts one and two regarding reasons for the view widely held by economists that crop insurance has not functioned well.

A powerful and path-breaking expose of America's Medical Industrial Complex-the network of mutually beneficial relationships between big business, academic medicine, patient advocacy organizations, hospitals, and government-and a compelling way forward for transforming America's healthcare system How has the United States, with more resources than any nation, developed a healthcare system that delivers much poorer results, at near double the cost of any other developed country-such that legendary seer Warren Buffett calls the Medical Industrial Complex "the tapeworm of American economic competitiveness"? Mike Magee, M.D., who worked for years inside the Medical Industrial Complex administering a hospital and then as a senior executive at the giant pharmaceutical company Pfizer, has spent the last decade deconstructing the complex, often shocking rise of, and connectivity between, the pillars of our health system-Big Pharma, insurance companies, hospitals, the American Medical Association, and anyone affiliated with them. With an eye first and foremost on the bottom line rather than on the nation's health, each sector has for decades embraced cure over care, aiming to conquer disease rather than concentrate on the cultural and social factors that determine health. This decision Magee calls the "original sin" of our health system. Code Blue is a riveting, character-driven narrative that draws back the curtain on the giant industry that consumes one out of every five American dollars. Making clear for the first time the mechanisms, greed, and collusion by which our medical system was built over the last eight decades-and arguing persuasively and urgently for the necessity of a single-payer, multi-plan insurance arena of the kind enjoyed by every other major developed nation-Mike Magee gives us invaluable perspective and inspiration by which we can, indeed, reshape the future.

In the mid-1960s geotechnical engineers paid the highest liability insurance of any profession and by 1969 were virtually uninsurable. As a result, the ASFE was founded and helped these engineers not only lower their insurance rates, but get to the point where, by 1980, they were the least liability-prone members of the design profession. Now, John Bachner and the ASFE tell all other design professionals how to accomplish the same task. This book, which incorporates the ASFE's Introduction to Professional Practice program for advancing architects' and engineers' knowledge of professional practice issues, addresses almost every aspect of the design professionals' practice as they relate to liability, from procedures for verifying the accuracy of technical output to steps for improving client and project selection, workscope development, personnel training and dispute resolution.

Can private health insurance fill gaps in publicly financed coverage? Does it enhance access to health care or improve efficiency in health service delivery? Will it provide fiscal relief for governments struggling to raise public revenue for health? This book examines the successes, failures and challenges of private health insurance globally through country case studies written by leading national experts. Each case study considers the role of history and politics in shaping private health insurance and determining its impact on health system performance. Despite great diversity in the size and functioning of markets for private health insurance, the book identifies clear patterns across countries, drawing out valuable lessons for policymakers while showing how history and politics have proved a persistent barrier to effective public policy. This title is also available as Open Access on Cambridge Core.

The relatively young theory of structured dependence between stochastic processes has many real-life applications in areas including finance, insurance, seismology, neuroscience, and genetics. With this monograph, the first to be devoted to the modeling of structured dependence between random processes, the authors not only meet the demand for a solid theoretical account but also develop a stochastic processes counterpart of the classical copula theory that exists for finite-dimensional random variables. Presenting both the technical aspects and the applications of the theory, this is a valuable reference for researchers and practitioners in the field, as well as for graduate students in pure and applied mathematics programs. Numerous theoretical examples are included, alongside examples of both current and potential applications, aimed at helping those who need to model structured dependence between dynamic random phenomena.

This book reviews some of the most recent developments in neural networks, with a focus on applications in actuarial sciences and finance. It simultaneously introduces the relevant tools for developing and analyzing neural networks, in a style that is mathematically rigorous yet accessible. Artificial intelligence and neural networks offer a powerful alternative to statistical methods for analyzing data. Various topics are covered from feed-forward networks to deep learning, such as Bayesian learning, boosting methods and Long Short Term Memory models. All methods are applied to claims, mortality or time-series forecasting. Requiring only a basic knowledge of statistics, this book is written for masters students in the actuarial sciences and for actuaries wishing to update their skills in machine learning. This is the third of three volumes entitled Effective Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data analytics with applications to P&C, life and health insurance. Although closely related to the other two volumes, this volume can be read independently.

Statistical and Probabilistic Methods in Actuarial Science covers many of the diverse methods in applied probability and statistics for students aspiring to careers in insurance, actuarial science, and finance. The book builds on students' existing knowledge of probability and statistics by establishing a solid and thorough understanding of these methods. It also emphasizes the wide variety of practical situations in insurance and actuarial science where these techniques may be used.

Although some chapters are linked, several can be studied independently from the others. The first chapter introduces claims reserving via the deterministic chain ladder technique. The next few chapters survey loss distributions, risk models in a fixed period of time, and surplus processes, followed by an examination of credibility theory in which collateral and sample information are brought together to provide reasonable methods of estimation. In the subsequent chapter, experience rating via no claim discount schemes for motor insurance provides an interesting application of Markov chain methods. The final chapters discuss generalized linear models and decision and game theory.

Developed by an author with many years of teaching experience, this text presents an accessible, sound foundation in both the theory and applications of actuarial science. It encourages students to use the statistical software package R to check examples and solve problems.

This book introduces ALM in the context of banks and insurance companies. Although this strategy has a core of fundamental frameworks, models may vary between banks and insurance companies because of the different risks and goals involved. The authors compare and contrast these methodologies to draw parallels between the commonalities and divergences of these two services and thereby provide a deeper understanding of ALM in general.

This work, now in a thoroughly revised second edition, presents the economic foundations of financial markets theory from a mathematically rigorous standpoint and offers a self-contained critical discussion based on empirical results. It is the only textbook on the subject to include more than two hundred exercises, with detailed solutions to selected exercises. Financial Markets Theory covers classical asset pricing theory in great detail, including utility theory, equilibrium theory, portfolio selection, mean-variance portfolio theory, CAPM, CCAPM, APT, and the Modigliani-Miller theorem. Starting from an analysis of the empirical evidence on the theory, the authors provide a discussion of the relevant literature, pointing out the main advances in classical asset pricing theory and the new approaches designed to address asset pricing puzzles and open problems (e.g., behavioral finance). Later chapters in the book contain more advanced material, including on the role of information in financial markets, non-classical preferences, noise traders and market microstructure. This textbook is aimed at graduate students in mathematical finance and financial economics, but also serves as a useful reference for practitioners working in insurance, banking, investment funds and financial consultancy. Introducing necessary tools from microeconomic theory, this book is highly accessible and completely self-contained. Advance praise for the second edition: "Financial Markets Theory is comprehensive, rigorous, and yet highly accessible. With their second edition, Barucci and Fontana have set an even higher standard!"Darrell Duffie, Dean Witter Distinguished Professor of Finance, Graduate School of Business, Stanford University "This comprehensive book is a great self-contained source for studying most major theoretical aspects of financial economics. What makes the book particularly useful is that it provides a lot of intuition, detailed discussions of empirical implications, a very thorough survey of the related literature, and many completely solved exercises. The second edition covers more ground and provides many more proofs, and it will be a handy addition to the library of every student or researcher in the field."Jaksa Cvitanic, Richard N. Merkin Professor of Mathematical Finance, Caltech "The second edition of Financial Markets Theory by Barucci and Fontana is a superb achievement that knits together all aspects of modern finance theory, including financial markets microstructure, in a consistent and self-contained framework. Many exercises, together with their detailed solutions, make this book indispensable for serious students in finance."Michel Crouhy, Head of Research and Development, NATIXIS

Now in its fifth edition, this book offers a detailed yet concise introduction to the growing field of statistical applications in finance. The reader will learn the basic methods for evaluating option contracts, analyzing financial time series, selecting portfolios and managing risks based on realistic assumptions about market behavior. The focus is both on the fundamentals of mathematical finance and financial time series analysis, and on applications to specific problems concerning financial markets, thus making the book the ideal basis for lectures, seminars and crash courses on the topic. All numerical calculations are transparent and reproducible using quantlets. For this new edition the book has been updated and extensively revised and now includes several new aspects such as neural networks, deep learning, and crypto-currencies. Both R and Matlab code, together with the data, can be downloaded from the book's product page and the Quantlet platform. The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allow readers to reproduce the tables, pictures and calculations inside this Springer book. "This book provides an excellent introduction to the tools from probability and statistics necessary to analyze financial data. Clearly written and accessible, it will be very useful to students and practitioners alike." Yacine Ait-Sahalia, Otto Hack 1903 Professor of Finance and Economics, Princeton University

In a time before bonds, treasury notes, or central banks, there were tontines. These were schemes in which a group of investors lent money to a government, corporation, or king, similar to a modern-day loan syndicate. But unlike conventional debt, periodic interest payments were distributed only to survivors. As tontine nominees died, the income of survivors correspondingly increased. Morbid, perhaps, but this was one of the earliest forms of longevity insurance in which the pool shared the risk. Moshe A. Milevsky tells the story of the first tontine issued by the English government in 1693, known as King William's tontine, intended to finance the war against French King Louis XIV. He explains how tontines work, the financial and economic thinking behind them, as well as why they fell into disrepute. Milevsky concludes with a provocative argument that suitably modified tontines should be resurrected for twenty-first-century retirement income planning.

Fabian Regele examines the appropriateness of the current regulatory treatment and the general suitability of unlisted infrastructure equity investments for the investment purposes of insurance companies. The employed valuation model of a stylized infrastructure asset delivers sound economic results and is consistent with the typical J-curve effect of the cumulative cash flows of these assets. In the context of a portfolio optimization, the infrastructure asset improves the insurance company's solvency situation by lowering its default probability and increasing its solvency ratio. In regard to the asset's risk contribution, there is a time-variant occurrence of certain risk channels during its lifecycle that leads to substantial differences in the risk exposure of the insurance company.

Canadian financial institutions have been in rapid change in the past five years. In response to these changes, the Department of Finance issued a discussion paper: The Regulation of Canadian Financial Institutions, in April 1985, and the government intends to introduce legislation in the fall. This paper studi.es the combinantion of financial institutions from the viewpoint of ruin probability. In risk theory developed to describe insurance companies [1,2,3,4,5J, the ruin probability of a company with initial reserve (capital) u is 6 1 -:;-7;;f3 u 1jJ(u) = H6 e H6 (1) Here,we assume that claims arrive as a Poisson process, and the claim amount is distributed as exponential distribution with expectation liS. 6 is the loading, i.e., premium charged is (1+6) times expected claims. Financial institutions are treated as "insurance companies": the difference between interest charged and interest paid is regarded as premiums, loan defaults are treated as claims.

Most academic and policy commentary represents adverse selection as a severe problem in insurance, which should always be deprecated, avoided or minimised. This book gives a contrary view. It details the exaggeration of adverse selection in insurers' rhetoric and insurance economics, and presents evidence that in many insurance markets, adverse selection is weaker than most commentators suggest. A novel arithmetical argument shows that from a public policy perspective, 'weak' adverse selection can be a good thing. This is because a degree of adverse selection is needed to maximise 'loss coverage', the expected fraction of the population's losses which is compensated by insurance. This book will be valuable for those interested in public policy arguments about insurance and discrimination: academics (in economics, law and social policy), policymakers, actuaries, underwriters, disability activists, geneticists and other medical professionals.

Originally published in 1938, this book presents the content of a paper read before the Insurance Institute of London by the leading actuary and statistician Sir William P. Elderton (1877-1962). The text provides an account regarding the impossibility of insurance companies giving people compensation in the event of damage from enemy military action. This book will be of value to anyone with an interest in economic history, military history and the insurance industry.

Financial Mathematics for Actuarial Science: The Theory of Interest is concerned with the measurement of interest and the various ways interest affects what is often called the time value of money (TVM). Interest is most simply defined as the compensation that a borrower pays to a lender for the use of capital. The goal of this book is to provide the mathematical understandings of interest and the time value of money needed to succeed on the actuarial examination covering interest theory Key Features Helps prepare students for the SOA Financial Mathematics Exam Provides mathematical understanding of interest and the time value of money needed to succeed in the actuarial examination covering interest theory Contains many worked examples, exercises and solutions for practice Provides training in the use of calculators for solving problems A complete solutions manual is available to faculty adopters online

Originally published in 1931, this book was written to provide actuarial students with a guide to mathematics, with information on elementary trigonometry, finite differences, summation, differential and integral calculus, and probability. Examples are included throughout. This book will be of value to anyone with an interest in actuarial practice and its relationship with aspects of mathematics.

Originally published in 1955, on behalf of the Institute of Actuaries and the Faculty of Actuaries, this book forms the first of two volumes on actuarial practice in relation to mortality and other investigations. Taken together, both volumes were written to meet the requirements of the Examination Syllabus of the Institute of Actuaries. Volume one provides 'elementary accounts of the derivation of mortality and other rates according to age, of the smoothing of such rates and of the construction of Mortality and Sickness Tables'. This book will be of value to anyone with an interest in the development of actuarial practice.

Occupational pensions are major participants in global financial markets with assets of well over $30 trillion, representing more than 40% of the assets of institutional investors. Some occupational pension funds control assets of over $400 billion, and the largest 300 occupational pension funds each have average assets of over $50 billion. The assets of UK pension funds are equivalent to UK GDP, and US pension fund assets are 83% of US GDP. These statistics highlight the importance of pension funds as major players in financial markets, and the need to understand the behaviour of these large institutional investors. Occupational pensions also play an important, but neglected, role in corporate finance. For example, US company pension schemes account for over 60% of company market value, and yet they are often ignored when analysing companies. This book is based on the substantial body of evidence available from around the world on a topic that has become increasingly important and controversial in recent years. Written for practitioners, students and academics, this book brings together and systematizes a very large international literature from financial economists, actuaries, practitioners, professional organizations, official documents and reports. The underlying focus is the application of the principles of financial economics to occupational pensions, including the work of Nobel laureates such as Merton, Markowitz, Modigliani, Miller and Sharpe, as well as Black. This book will give readers an up-to-date understanding of occupational pensions, the economic issues they face, and some suggestions of how these issues can be tackled. The first section explains the operation of defined benefit and defined contribution pensions, along with some descriptive statistics. The second section covers selected aspects of occupational pensions. The focus of these first two sections is on the economic and financial aspects of pensions, accompanied by some basic information on how they operate. This is followed by three further sections that analyse the investment of pension funds, the corporate finance implications of firms providing pensions for their employees, and annuities.

Originally published in 1939, this book forms the first part of a two-volume series on the mathematics required for the examinations of the Institute of Actuaries, focusing on elementary differential and integral calculus. Miscellaneous examples are included at the end of the text. This book will be of value to anyone with an interest in actuarial science and mathematics.

Originally published in 1930, this book was formed from the content of three lectures delivered at London University during March of that year. The text provides a concise discussion of the relationship between theoretical statistics and actuarial science. This book will be of value to anyone with an interest in the actuarial profession, statistics and the history of finance.

Originally published in 1932, as part of the Institute of Actuaries Students' Society's Consolidation of Reading Series, this book was written to provide actuarial students with a guide 'to bridging the gap between the strict mathematics of life contingencies and the severely practical problems of Life Office Valuations'. This book will be of value to anyone with an interest in the actuarial profession and the history of finance.

This textbook aims to fill the gap between those that offer a theoretical treatment without many applications and those that present and apply formulas without appropriately deriving them. The balance achieved will give readers a fundamental understanding of key financial ideas and tools that form the basis for building realistic models, including those that may become proprietary. Numerous carefully chosen examples and exercises reinforce the student's conceptual understanding and facility with applications. The exercises are divided into conceptual, application-based, and theoretical problems, which probe the material deeper. The book is aimed toward advanced undergraduates and first-year graduate students who are new to finance or want a more rigorous treatment of the mathematical models used within. While no background in finance is assumed, prerequisite math courses include multivariable calculus, probability, and linear algebra. The authors introduce additional mathematical tools as needed. The entire textbook is appropriate for a single year-long course on introductory mathematical finance. The self-contained design of the text allows for instructor flexibility in topics courses and those focusing on financial derivatives. Moreover, the text is useful for mathematicians, physicists, and engineers who want to learn finance via an approach that builds their financial intuition and is explicit about model building, as well as business school students who want a treatment of finance that is deeper but not overly theoretical.