Adverse Selection vs Discrimination Risk with Genetic Testing. An Experimental Approach
نویسندگان
چکیده
We develop a theoretical analysis of two widely used regulations of genetic tests, disclosure duty and consent law, and we run several experiments in order to shed light on both the takeup rate of genetic testing and on the comparison of policyholders’ welfare under the two regulations. Disclosure Duty forces individuals to reveal their test results to their insurers, exposing them to the risk of having to pay a large premium in case they are discovered to have a high probability of developing a disease (a discrimination risk). Differently, Consent Law allows them to hide this detrimental information, creating asymmetric information and adverse selection. We obtain that the take-up rate of the genetic test is low under Disclosure Duty, larger and increasing with adverse selection under Consent Law. Also, the fraction of individuals who are prefer Disclosure Duty to Consent Law increases with the amount of adverse selection under the latter. These results are obtained for exogenous values of adverse selection under Consent Law, and the repeated interactions experiment devised has not resulted in convergence towards an equilibrium level of adverse selection. JEL-Code: D820, I180, C910.
منابع مشابه
Life insurance and breast cancer risk assessment: adverse selection, genetic testing decisions, and discrimination.
Life insurance industry access to genetic information is controversial. Consumer groups argue that access will increase discrimination in life insurance premiums and discourage individuals from undergoing genetic testing that may provide health benefits. Conversely, life insurers argue that without access to risk information available to individuals, they face substantial financial risk from ad...
متن کاملOptimal Portfolio Selection for Tehran Stock Exchange Using Conditional, Partitioned and Worst-case Value at Risk Measures
This paper presents an optimal portfolio selection approach based on value at risk (VaR), conditional value at risk (CVaR), worst-case value at risk (WVaR) and partitioned value at risk (PVaR) measures as well as calculating these risk measures. Mathematical solution methods for solving these optimization problems are inadequate and very complex for a portfolio with high number of assets. For t...
متن کاملI-20: Towards The Transparent Embryo: Dynamics and Ethics of Comprehensive Preimplantation Genetic Screening
Background: To study the ethical aspects of comprehensive preimplantation genetic screening (PGS) through microarrays and whole genome sequencing Materials and Methods: In order to pinpoint ethical issues regarding comprehensive embryo screening we have first investigated the technical and moral issues by organizing a campus meeting with experts and by a literature study. Subsequently we have i...
متن کاملFeature Selection for Small Sample Sets with High Dimensional Data Using Heuristic Hybrid Approach
Feature selection can significantly be decisive when analyzing high dimensional data, especially with a small number of samples. Feature extraction methods do not have decent performance in these conditions. With small sample sets and high dimensional data, exploring a large search space and learning from insufficient samples becomes extremely hard. As a result, neural networks and clustering a...
متن کاملتلاشهای بینالمللی در جهت جلوگیری از تبعیض ژنتیکی
Genetic discrimination as a crisis for modern human has influenced its life in personal or social aspects. The problem of genetic discrimination and the rights for individuals with genetic anomalies, is one of the most important issues in this century. With advancements of genetics and as new therapies become available, the usefulness of genetic testing undoubtedly will increase and concomitant...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014