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Author: J. David Cummins
Publisher: Springer Science & Business Media
ISBN: 9401729115
Category : Business & Economics
Languages : en
Pages : 345
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Book Description
The research project leading to this book was initiated in the fall of 1979 when the American Council of Life Insurance (ACLI) contacted Dan McGill, chairman of the Wharton School Insurance Department, about conducting a study on risk classification in life insurance. The ACLI was concerned about legislative and judicial activity in this area and its potential effects on the life insurance industry. A meeting was held at the ACLI offices in Washington, D.C., between several members of the ACLI staff and Dan McGill and David Cummins representing the Wharton School insurance department. An agreement was reached that a study would be conducted at Wharton dealing with issues in risk classification. Although the staff of the ACLI suggested directions the study might take, it was agreed that the design and execution of the study would be solely under the control of the researchers. The researchers also retained unrestricted publication rights in the results of the study. This agreement has been honored by the ACLI during the course of the project.
Author: J. David Cummins
Publisher: Springer Science & Business Media
ISBN: 9401729115
Category : Business & Economics
Languages : en
Pages : 345
Get Book
Book Description
The research project leading to this book was initiated in the fall of 1979 when the American Council of Life Insurance (ACLI) contacted Dan McGill, chairman of the Wharton School Insurance Department, about conducting a study on risk classification in life insurance. The ACLI was concerned about legislative and judicial activity in this area and its potential effects on the life insurance industry. A meeting was held at the ACLI offices in Washington, D.C., between several members of the ACLI staff and Dan McGill and David Cummins representing the Wharton School insurance department. An agreement was reached that a study would be conducted at Wharton dealing with issues in risk classification. Although the staff of the ACLI suggested directions the study might take, it was agreed that the design and execution of the study would be solely under the control of the researchers. The researchers also retained unrestricted publication rights in the results of the study. This agreement has been honored by the ACLI during the course of the project.
Author: J. David Cummins
Publisher:
ISBN: 9780669051124
Category : Life insurance
Languages : en
Pages :
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Book Description
Author: J. David Cummins
Publisher: Springer
ISBN: 9789401729123
Category : Business & Economics
Languages : en
Pages : 336
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Book Description
The research project leading to this book was initiated in the fall of 1979 when the American Council of Life Insurance (ACLI) contacted Dan McGill, chairman of the Wharton School Insurance Department, about conducting a study on risk classification in life insurance. The ACLI was concerned about legislative and judicial activity in this area and its potential effects on the life insurance industry. A meeting was held at the ACLI offices in Washington, D.C., between several members of the ACLI staff and Dan McGill and David Cummins representing the Wharton School insurance department. An agreement was reached that a study would be conducted at Wharton dealing with issues in risk classification. Although the staff of the ACLI suggested directions the study might take, it was agreed that the design and execution of the study would be solely under the control of the researchers. The researchers also retained unrestricted publication rights in the results of the study. This agreement has been honored by the ACLI during the course of the project.
Author: Witherby and Co. Ltd., Staff
Publisher:
ISBN: 9780785542377
Category :
Languages : en
Pages :
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Book Description
Author: Michel Denuit
Publisher: Springer Nature
ISBN: 3030258203
Category : Business & Economics
Languages : en
Pages : 441
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Book Description
This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs). In order to deal with tail events, analytical tools from Extreme Value Theory are presented. Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS). Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities. The exposition alternates between methodological aspects and case studies, providing numerical illustrations using the R statistical software. The technical prerequisites are kept at a reasonable level in order to reach a broad readership. This is the first 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.
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309048273
Category : Medical
Languages : en
Pages : 381
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Book Description
The United States is unique among economically advanced nations in its reliance on employers to provide health benefits voluntarily for workers and their families. Although it is well known that this system fails to reach millions of these individuals as well as others who have no connection to the work place, the system has other weaknesses. It also has many advantages. Because most proposals for health care reform assume some continued role for employers, this book makes an important contribution by describing the strength and limitations of the current system of employment-based health benefits. It provides the data and analysis needed to understand the historical, social, and economic dynamics that have shaped present-day arrangements and outlines what might be done to overcome some of the access, value, and equity problems associated with current employer, insurer, and government policies and practices. Health insurance terminology is often perplexing, and this volume defines essential concepts clearly and carefully. Using an array of primary sources, it provides a store of information on who is covered for what services at what costs, on how programs vary by employer size and industry, and on what governments doâ€"and do not doâ€"to oversee employment-based health programs. A case study adapted from real organizations' experiences illustrates some of the practical challenges in designing, managing, and revising benefit programs. The sometimes unintended and unwanted consequences of employer practices for workers and health care providers are explored. Understanding the concepts of risk, biased risk selection, and risk segmentation is fundamental to sound health care reform. This volume thoroughly examines these key concepts and how they complicate efforts to achieve efficiency and equity in health coverage and health care. With health care reform at the forefront of public attention, this volume will be important to policymakers and regulators, employee benefit managers and other executives, trade associations, and decisionmakers in the health insurance industry, as well as analysts, researchers, and students of health policy.
Author: Ronald M. Roth
Publisher: iUniverse
ISBN: 0595494307
Category : Business & Economics
Languages : en
Pages : 170
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Book Description
This book explains investing in the life insurance market. It explains what the market for used life insurance is and where it came from, and the steps to take through the entire process of a policy sale.
Author: Guy Thomas
Publisher: Cambridge University Press
ISBN: 110815834X
Category : Business & Economics
Languages : en
Pages : 285
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Book Description
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.
Author:
Publisher:
ISBN:
Category : Insurance, Life
Languages : en
Pages : 136
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Book Description
Author: Tomas Cipra
Publisher: Springer Science & Business Media
ISBN: 379082593X
Category : Business & Economics
Languages : en
Pages : 418
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Book Description
Financial and insurance calculations become more and more frequent and helpful for many users not only in their profession life but sometimes even in their personal life. Therefore a survey of formulas of ?nancial and insurance mathematics that can be applied to such calculations seems to be a suitable aid. In some cases one should use instead of the term formula more suitable terms of the type method, p- cedure or algorithm since the corresponding calculations cannot be simply summed up to a single expression, and a verbal description without introducing complicated symbols is more appropriate. The survey has the following ambitions: • The formulas should be applicable in practice: it has motivated their choice for this survey ?rst and foremost. On the other hand it is obvious that by time one puts to use in practice seemingly very abstract formulas of higher mathematics, e.g. when pricing ?nancial derivatives, evaluating ?nancial risks, applying accou- ing principles based on fair values, choosing alternative risk transfers ARL in insurance, and the like. • The formulas should be error-free (though such a goal is not achievable in full) since in the ?nancial and insurance framework one publishes sometimes in a h- tic way various untried formulas and methods that may be incorrect. Of course, the formulas are introduced here without proofs because their derivation is not the task of this survey.
