The Theory of Risk Classification
نویسندگان
چکیده
1 8.1 INTRODUCTION The efficiency and equity effects of risk classification in insurance markets have been a source of substantial debate, both amongst economists and in the public policy arena. 1 The primary concerns have been the adverse equity consequences for individuals who are categorized unfavorably, and the extent to which risk classification enhances efficiency in insurance contracting. While equity effects are endemic to any classification scheme that results in heterogeneous consumers being charged actuarially fair premiums, whether such classification enhances market efficiency depends on specific characteristics of the informational environment. In this contribution we set out the theory of risk classification in insurance markets and explore its implications for efficiency and equity in insurance contracting. Our primary concern is with economic efficiency and the role of risk classification in mitigating the adverse selection that arises when insurance applicants are better informed about their riskiness than insurers. We are also interested in the role of classification risk, that is, uncertainty about the outcome of a classification procedure. This uncertainty imposes a cost on risk averse consumers and is thus a potential cause of divergence between the private and social value of information gathering. In addition, the adverse equity consequences of risk classification bear directly on economic efficiency as they contribute to the social cost of classification risk. We begin by considering as a benchmark the case in which both insurers and insurance applicants are symmetrically uninformed about the applicants' propensities for suffering an insurable loss. 2 8.2.1 Homogeneous Agents Formally, the insurance environment consists of a continuum of risk averse consumers, each of whom possesses an initial wealth W and may suffer a (publicly-observed) loss D with known probability p. Each consumer's preferences are represented by the von Neumann-Morgenstern utility function U(W), which is assumed to be strictly increasing and strictly concave, reflecting risk aversion. A consumer may purchase insurance against the loss by entering into a contract) , (I m C ! , which specifies the premium m paid to the insurer and the indemnification I received by the insured when the loss occurs. A consumer's expected utility under the insurance contract C is given by) () 1 () () , (N D W U p W U p C p V ! + " , (1) where m W W I D m W W N D ! " + ! ! " and denote the consumer's state-contingent …
منابع مشابه
Identification and Evaluation of Human Errors Using Human Factor Analysis and Classification System based on Fuzzy Hierarchy Theory: A Case Study in the Cement Industry
Introduction: Human factors studies have shown that about 80% of the root causes of major accidents affecting safety, the environment or ergonomics are related to human error. The purpose of this study was to identify human errors using the HFACS method and the FAHP theory in cement industry. Methods: The present study was a retrospective study carried out in the cement industry. At first, R...
متن کاملA research on classification performance of fuzzy classifiers based on fuzzy set theory
Due to the complexities of objects and the vagueness of the human mind, it has attracted considerable attention from researchers studying fuzzy classification algorithms. In this paper, we propose a concept of fuzzy relative entropy to measure the divergence between two fuzzy sets. Applying fuzzy relative entropy, we prove the conclusion that patterns with high fuzziness are close to the classi...
متن کاملTwo New Methods of Boundary Correction for Classifying Textural Images
With the growth of technology, supervising systems are increasingly replacing humans in military, transportation, medical, spatial, and other industries. Among these systems are machine vision systems which are based on image processing and analysis. One of the important tasks of image processing is classification of images into desirable categories for the identification of objects or their sp...
متن کاملRisk management in urban tunnels using methods of game theory and multi-criteria decision-making
In general, underground spaces are associated with high risks because of their high uncertainty in geotechnical environments. Since most accidents and incidents in these structures are often associated with uncertainty, the development of risk analysis and management methods and prevention of accidents are essential. A deeper recognition of the factors affecting the implementation process can p...
متن کامل3D Scene and Object Classification Based on Information Complexity of Depth Data
In this paper the problem of 3D scene and object classification from depth data is addressed. In contrast to high-dimensional feature-based representation, the depth data is described in a low dimensional space. In order to remedy the curse of dimensionality problem, the depth data is described by a sparse model over a learned dictionary. Exploiting the algorithmic information theory, a new def...
متن کاملClassification of Customer’s Credit Risk Using Ensemble learning (Case study: Sepah Bank)
Banks activities are associated with different kinds of risk such as cresit risk. Considering the limited financial resources of banks to provide facilities, assessment of the ability of repayment of bank customers before granting facilities is one of the most important challenges facing the banking system of the country. Accordingly, in this research, we tried to provide a model for determinin...
متن کامل