The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
An Empirical Examination of Information Barriers to Trade in Insurance
Abstract
This paper uses direct evidence to evaluate whether asymmetric information is a barrier to trade in the largest market for private insurance in the world: life insurance. We report several findings that seem difficult to reconcile with the conventional theory of insurance under asymmetric information. We conjecture that sellers may know their costs of production better than consumers in this market, as in those for most other products. (JEL D8, G1, I1, L0)
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Cites
The Market for "Lemons": Quality Uncertainty and the Market Mechanism
Akerlof, G. A. (1970) · The Quarterly Journal of Economics · doi:10.2307/1879431 · Cited by 23,016
Riley, J. G. (1979) · Econometrica · doi:10.2307/1914187 · Cited by 616
Cited by
Estimating Risk Preferences from Deductible Choice
Cohen, A., & Einav, L. (2007) · American Economic Review · doi:10.1257/aer.97.3.745 · Cited by 708
Does affirmative action lead to mismatch? A new test and evidence
Arcidiacono, P., Aucejo, E. M., Fang, H., & Spenner, K. I. (2011) · Quantitative Economics · doi:10.3982/qe83 · Cited by 80
Metadata
- Authors
- Cawley, J., & Philipson, T.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 1999-09-01
- Volume
- 89
- Issue
- 4
- Pages
- 827-846
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W3124643791
- Cited by
- 355
- References
- 2
- FWCI
- 17.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cawley, J., & Philipson, T. (1999). An Empirical Examination of Information Barriers to Trade in Insurance. American Economic Review. https://doi.org/10.1257/aer.89.4.827
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
