Asymmetric information and the demand for voluntary health insurance in Europe

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Asymmetric information and the demand for vol ...
Kristian Bolin, Daniel Hedblom ...
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Last edited by MARC Bot
September 25, 2020 | History

Asymmetric information and the demand for voluntary health insurance in Europe

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"The NBER Bulletin on Aging and Health provides summaries of publications like this. You can sign up to receive the NBER Bulletin on Aging and Health by email. Several past studies have found health risk to be negatively correlated with the probability of voluntary health insurance. This is contrary to what one would expect from standard textbook models of adverse selection and moral hazard. The two most common explanations to the counter-intuitive result are either (1) that risk-aversion is correlated with health - i.e. that healthier individuals are also more risk-averse - or (2) that insurers are able to discriminate among customers based on observable health-risk characteristics. We revisited these arguments, using data from the Survey of Health, Ageing and Retirement in Europe (SHARE). Self-assessed health served as an indicator of risk: better health, lower risk. We did, indeed, observe a negative correlation between risk and insurance but found no evidence of heterogeneous risk-preferences as an explanation to our finding"--National Bureau of Economic Research web site.

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Language
English

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Cover of: Asymmetric information and the demand for voluntary health insurance in Europe
Asymmetric information and the demand for voluntary health insurance in Europe
2010, National Bureau of Economic Research
Electronic resource in English

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Book Details


Edition Notes

Title from PDF file as viewed on 3/2/2010.

Includes bibliographical references.

Also available in print.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.

Published in
Cambridge, MA
Series
NBER working paper series -- working paper 15689, Working paper series (National Bureau of Economic Research : Online) -- working paper no. 15689.

Classifications

Library of Congress
HB1

The Physical Object

Format
Electronic resource

ID Numbers

Open Library
OL24112464M
LCCN
2010655708

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September 25, 2020 Edited by MARC Bot import existing book
February 9, 2019 Created by MARC Bot import existing book