Experimental internet auctions with random information retrieval |
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Authors: | Doron Sonsino Radosveta Ivanova-Stenzel |
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Affiliation: | (1) The School of Business Administration, The College of Management, 7 Rabin Boulevard, POB 9017, Rishon LeZion, Israel, 75190;(2) Department of economics, Institute for Economic Theory III, Spandauer Strasse 1, 10178 Berlin, Germany |
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Abstract: | We run an experiment where 97 subjects could retrieve records of completed past auctions before placing their bids in current one-bid, two-bid, and auction-selection games. Each subject was asked to participate in 3 current auctions; but could retrieve up to 60 records of completed (past) auctions. The results reveal a positive relation between the payoffs earned by the subjects and their history-inspection effort. Subjects act as if responding to the average bidding-ratios of the winners in the samples that they have retrieved. They apply intuitive signal-dependent stopping rules like “sample until observing a winner-value close to my won” or “find a close winner-value and try one more history” when sampling the databases. History-inspection directs bidders with relatively high private-valuations to moderate bidding which increases their realized payoffs. (JEL C9 D4 D8) Electronic Supplementary Material Supplementary material is available in the online version of this article at . JEL Classification C93, D44, D83 |
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Keywords: | Internet-auctions observational learning sampling rules experiments |
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