2001
DOI: 10.1111/1468-0262.00197
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Behavior in Multi-Unit Demand Auctions: Experiments with Uniform Price and Dynamic Vickrey Auctions

Abstract: We experimentally investigate the sensitivity of bidders demanding multiple units of a homogeneous commodity to the demand reduction incentives inherent in uniform price auctions. There is substantial demand reduction in both sealed bid and ascending price clock auctions with feedback regarding rivals' drop-out prices. Although both auctions have the same normal form representation, bidding is much closer to equilibrium in the ascending price auctions. We explore the behavioral process underlying these differe… Show more

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Cited by 215 publications
(130 citation statements)
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“…9 Design choices vary sharply regarding whether to allow bids above value. In many experiments those bids are prevented [19][20][21], discouraged by design [22][23][24] or presented as "wrong" during instructions [10,25,26]. In the rare cases in which bids above value are allowed and not framed any way, some are observed although fewer than in our paper [27][28][29].…”
Section: Aggregate Bidding Functionsmentioning
confidence: 62%
“…9 Design choices vary sharply regarding whether to allow bids above value. In many experiments those bids are prevented [19][20][21], discouraged by design [22][23][24] or presented as "wrong" during instructions [10,25,26]. In the rare cases in which bids above value are allowed and not framed any way, some are observed although fewer than in our paper [27][28][29].…”
Section: Aggregate Bidding Functionsmentioning
confidence: 62%
“…Their average RT in static trials was also less than 2 seconds. 6 Computerized agents have been used in many experimental studies on bargaining and auctions [13,14,15,16]. 7 This was indeed a small challenge for BM since mouse-clicking noise could serve as an auditory cue about selling time to other subjects.…”
Section: Resultsmentioning
confidence: 99%
“…The shortcoming of these types of models in games like this, with many strategies and relatively few strategies, is that reinforcement does not learn fast enough to match the empirical pace of human learning observed in experimental data. 15 For reinforcement learning to work, each possible strategy has to be sampled several times. In this game, there are 300 choices of times when a player can sell, and only 100 trials, so simple reinforcement is likely to learn too slowly without modification.…”
Section: Learning and Anxietymentioning
confidence: 99%
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“…They …nd evidence for demand reduction in the open ascending auction, which generally yields lower revenues than the sealed-bid format. Kagel and Levin (2001) consider environments without strategic uncertainty where a single human bidder competes against robot bidders in a sealed-bid uniform-price auction, an open ascending auction, and the Vickrey/Ausubel auction. Demand reduction occurs in both the sealed-bid uniform-price and the open ascending auction, but the level of demand reduction is more pronounced in the latter.…”
Section: Introductionmentioning
confidence: 99%