Access the full text.
Sign up today, get DeepDyve free for 14 days.
S. Thomson, Elias Mossialos (2009)
Private health insurance in the European Union
K. Desalvo, Nicole Bloser, K. Reynolds, Jiang He, P. Muntner (2006)
Mortality prediction with a single general self-rated health questionJournal of General Internal Medicine, 21
K. DeSalvo, N. Bloser, K. Reynolds, J. He, P. Muntner (2006)
Mortality Prediction with a Single General Self?Rated Health Question ? A Meta?Analysis, 21
A. Finkelstein, J. Poterba (2014)
Testing for Adverse Selection using ?Unused Observables? in Insurance Markets: Evidence from the UK Annuity Market, 81
Hanming Fang, M. Keane, Dan Silverman (2006)
Sources of Advantageous Selection: Evidence from the Medigap Insurance MarketJournal of Political Economy, 116
Kenzie Latham, C. Peek (2013)
Self-rated health and morbidity onset among late midlife U.S. adults.The journals of gerontology. Series B, Psychological sciences and social sciences, 68 1
The American Academy of Actuaries Issue Paper
P. Chiappori, B. Jullien, B. Salanié, François Salanié (2006)
Asymmetric information in insurance: general testable implicationsThe RAND Journal of Economics, 37
L. Einav, A. Finkelstein, P. Schrimpf (2010)
Optimal Mandates and the Welfare Cost of Asymmetric Information: Evidence from the UK Annuity Market, 78
(2000)
The Anatomy of Health Insurance
Nathaniel Hendren (2012)
Private Information and Insurance RejectionsERN: Other Microeconomics: Asymmetric & Private Information (Topic)
A. Sasso, I. Lurie (2009)
Community rating and the market for private non-group health insuranceJournal of Public Economics, 93
Amy Finkelstein, K. Mcgarry (2006)
Multiple Dimensions of Private Information: Evidence from the Long-Term Care Insurance Market.The American economic review, 96 4
P. Dasgupta, P. Hammond (2007)
Equilibrium in Competitive Insurance Markets : An Essay on the Economics of Imperfect Information
L. Einav, Amy Finkelstein, Paul Schrimpf (2007)
The Welfare Cost of Asymmetric Information: Evidence from the U.K. Annuity MarketMicroeconomic Theory eJournal
Amy Finkelstein, J. Poterba (2000)
Adverse Selection in Insurance Markets: Policyholder Evidence from the U.K. Annuity MarketJournal of Political Economy, 112
(2008)
Nurse Visit -ELSA user day. Presentation at ELSA user day
(1999)
Risk Classification in Individually Purchased Voluntary Medical Expense Insurance
Daifeng He (2009)
The life insurance market: Asymmetric information revisitedJournal of Public Economics, 93
D. Cutler, Amy Finkelstein, K. Mcgarry (2008)
Preference Heterogeneity and Insurance Markets: Explaining a Puzzle of InsuranceERN: Other IO: Empirical Studies of Firms & Markets (Topic)
K. Zou, A. O’Malley, L. Mauri (2007)
Receiver-Operating Characteristic Analysis for Evaluating Diagnostic Tests and Predictive ModelsCirculation, 115
M. Couper, R. Groves (1996)
Household‐level determinants of survey nonresponseNew Directions for Evaluation, 1996
M. Marmot (2013)
English Longitudinal Study of Ageing: Wave 0 (1998, 1999 and 2001) and Waves 1-5 (2002-2011)
European Commission (Directorate General for Employment, Social Affairs and Equal Opportunities)
Amy Finkelstein, J. Poterba (2002)
Selection Effects in the United Kingdom Individual Annuities MarketEuropean Economics eJournal
Elias Mossialos, S. Thomson (2002)
Voluntary health insurance in the European Union: report prepared for the Directorate General for Employment and Social Affairs of the European Commission
Igal Hendel, A. Lizzeri (2000)
The Role of Commitment in Dynamic Contracts: Evidence from Life InsuranceERN: Firm Behavior (Topic)
(2011)
15th Edition, UK Data Archive [distributor] SN
Y. Hwu, V. Coates, F. Lin (2000)
A study of the effectiveness of different measuring times and counting methods of human radial pulse rates.Journal of clinical nursing, 9 1
D. Dwyer, O. Mitchell (1998)
Health Problems as Determinants of Retirement: Are Self-Rated Measures Endogenous?HEN: Human Capital Modelling (Topic)
D. Cutler, R. Zeckhauser (2000)
Handbook of Health Economics, I
Alma Cohen, Peter Siegelman (2009)
Testing for Adverse Selection in Insurance MarketsERN: Information Asymmetry Models (Topic)
E. Idler, Y. Benyamini (1997)
Self-rated health and mortality: a review of twenty-seven community studies.Journal of health and social behavior, 38 1
(2003)
Private Health Insurance: Federal and State Requirements Affecting Coverage Offered by Small Business, United States General Accounting Office (GAO
(1999)
An Empirical Examination of Information Barriers to Trade in Insurance
David Mccarthy, Olivia Mitchell (2003)
NBER WORKING PAPER SERIES INTERNATIONAL ADVERSE SELECTION IN LIFE INSURANCE AND ANNUITIES
D. McCarthy, O. Mitchell (2010)
Ageing in Advanced Industrial States: Riding the Age Waves, 3
Jeffrey Woodbridge (2002)
Econometric Analysis of Cross Section and Panel Data
J. Inkmann, Alexander Michaelides (2010)
Can the Life Insurance Market Provide Evidence for a Bequest Motive?Econometrics: Applied Econometric Modeling in Microeconomics eJournal
Amy Finkelstein, J. Poterba (2006)
Testing for Asymmetric Information Using 'Unused Observables' in Insurance Markets: Evidence from the U.K. Annuity MarketMicroeconomics: Asymmetric & Private Information eJournal
B. Druss, S. Marcus, M. Olfson, H. Pincus (2002)
The most expensive medical conditions in America.Health affairs, 21 4
(2008)
Medical information and insurance: Joint guidelines from the British Medical Association and the Association of British Insurers
S. Boyle (2011)
United Kingdom (England): Health system review.Health systems in transition, 13 1
M. Bundorf, Jonathan Levin, Neale Mahoney (2008)
Pricing and Welfare in Health Plan ChoiceIO: Theory
M. Rendall, Margaret Weden, Melissa Favreault, H. Waldron (2011)
The Protective Effect of Marriage for Survival: A Review and UpdateDemography, 48
Economic theory predicts that private information on risks in insurance markets leads to adverse selection. To counterbalance private information, insurers collect and use information on applicants to assess their risk and to calculate premiums in an underwriting process. Using data from the English Longitudinal Study of Ageing (ELSA), this paper documents that differences in the information used in underwriting across life insurance, annuity, and health insurance markets attenuate private information to different extents. The results are in line with – and might help to reconcile – the mixed empirical evidence on adverse selection across these markets.
The Scandinavian Journal of Economics – Wiley
Published: Oct 1, 2017
Keywords: ; ; ; ; ;
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.