An empirical study of online auction dynamics
Yanbin Tu, Min Lu
Abstract
Yanbin Tu, Min Lu
Abstract
In this study, we segment online auctions into four segments. Time series analysis shows that current auctions are more likely affected by the most recently completed auctions, and the completed auctions have more influence on experienced sellers than on new sellers. The behaviour of selling used items can be explained by the behaviour of selling new items, and vice versa. The auctions listed by experienced sellers have certain influence on the auctions listed by new sellers, but the auctions listed by new sellers have no influence on those listed by experienced sellers. All these findings have significant managerial implications.
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In this study, we segment online auctions into four segments. Time series analysis shows that current auctions are more likely affected by the most recently completed auctions, and the completed auctions have more influence on experienced sellers than on new sellers. The behaviour of selling used items can be explained by the behaviour of selling new items, and vice versa. The auctions listed by experienced sellers have certain influence on the auctions listed by new sellers, but the auctions listed by new sellers have no influence on those listed by experienced sellers. All these findings have significant managerial implications.
Key concepts: Common value auction, Forward auction, Business, Eauction, Dynamics (music), Microeconomics, Advertising, Reverse auction