Publication:

Asymmetric Information, Adverse Selection and Online Disclosure: The Case of eBay Motors

Loading...
Thumbnail Image

Date

2009

Published Version

Journal Title

Journal ISSN

Volume Title

Publisher

The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Lewis, Gregory. 2009. Asymmetric information, adverse selection and online disclosure: The case of eBay motors. Faculty working paper, Department of Economics, Harvard University.

Abstract

Since Akerlof (1970), economists have understood the adverse selection problem that information asymmetries can create in used goods markets. The remarkable growth in online auctions of used goods, where buyers generally purchase sight unseen, therefore poses a puzzle. I argue that part of the solution is that sellers voluntarily disclose their private information to buyers through photos, text and graphics on the auction webpage. In so doing they define a precise contract between buyer and seller — to deliver the car shown — and this helps protect the buyer from adverse selection. Extending previous theoretical work by Jovanovic (1982), I model the impact of contractible disclosure and changes in disclosure costs on performance and adverse selection on online auction platforms. To test this theory, I examine data from eBay Motors. I find first that sellers selectively disclose information; second that this reduces information asymmetry; and finally that disclosure costs impact both the level of disclosure and the prices obtained by sellers, and consequently incentives for seller participation.

Description

Other Available Sources

Research Data

Keywords

Terms of Use

This article is made available under the terms and conditions applicable to Open Access Policy Articles (OAP), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Related Stories

Story
Asymmetric Information, Adverse Selection and Online… : DASH Story 2014-12-11
It helped me in finding case study article about asymmetric information. Cases like these are hard to find and I am glad that I can find it here.