Reputation and Adverse Selection, Theory and Evidence from eBay
Author(s) -
Maryam Saeedi
Publication year - 2012
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.2102948
Subject(s) - adverse selection , reputation , selection (genetic algorithm) , internet privacy , business , computer security , economics , computer science , actuarial science , political science , artificial intelligence , law
How can actors in a marketplace introduce mechanisms to overcome possible inefficiencies caused by adverse selection? Using a unique dataset that follows sellers on eBay over time, I show that reputation is a major determinant of variations in price. I develop a model of firm dynamics where firms have heterogeneous qualities unobservable by consumers. Reputation is used as a signal of private information. I structurally estimate the model to uncover buyers' utility and sellers' costs and qualities. Removing the reputation mechanism increases low-quality sellers' marketshare, lowers prices, and consequently reduces the market size by 61% and consumer surplus by 48%.
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