2004
DOI: 10.1080/1350485042000221571
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Anchoring and transaction utility: evidence from on-line auctions

Abstract: This article presents empirical evidence that people use anchoring to form their valuation of an object. Using data from the on-line auction Bidz.com, we found that people bid more for an item with a higher posted 'buy now' price than for an identical item with the lower posted 'buy now' price.

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Cited by 59 publications
(33 citation statements)
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“…The results of studies by Ariely and Simonson (2003), Häubl and Popkowski Leszczyc (2003), Kamins et al (2004), and Suter and Hardesty (2005) indicate that bidders use auctions' reserve prices to formulate their reference price and bid more aggressively in auctions with higher reserve prices. Dodonova and Khoroshilov (2004) and Popkowski Leszczyc et al (2007) find that auctions with higher buy prices cause bidders to bid more aggressively and lead to higher closing prices even when the bidders do not exercise the buy price option. Thus, as Corollary 1 indicates, our model produces bidding behavior that is consistent with behavior observed in the laboratory and the field but that other models of auctions with a buy price cannot explain.…”
Section: Stage Two: a Second-price Sealed-bid Auctionmentioning
confidence: 99%
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“…The results of studies by Ariely and Simonson (2003), Häubl and Popkowski Leszczyc (2003), Kamins et al (2004), and Suter and Hardesty (2005) indicate that bidders use auctions' reserve prices to formulate their reference price and bid more aggressively in auctions with higher reserve prices. Dodonova and Khoroshilov (2004) and Popkowski Leszczyc et al (2007) find that auctions with higher buy prices cause bidders to bid more aggressively and lead to higher closing prices even when the bidders do not exercise the buy price option. Thus, as Corollary 1 indicates, our model produces bidding behavior that is consistent with behavior observed in the laboratory and the field but that other models of auctions with a buy price cannot explain.…”
Section: Stage Two: a Second-price Sealed-bid Auctionmentioning
confidence: 99%
“…With the rapid growth in auctions on the internet, it is likely that bidder decision making also features reference-dependence. Recent results of laboratory and field experiments by Ariely and Simonson (2003), Häubl and Popkowski Leszczyc (2003), Kamins et al (2004), and Suter and Hardesty (2005) indicate that bidders utilize auctions' reserve prices to formulate their reference price and the results of studies by Dodonova and Khoroshilov (2004) and Popkowski Leszczyc et al (2007) indicate that bidders use auctions' buy prices to formulate their reference price. Thus, studying a model of bidders with reference-dependent preferences in auction with a buy price seems warranted and is one way in which we can gain insight into bidder and seller behavior in this market institution.…”
Section: Introductionmentioning
confidence: 99%
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“…Assuming a robust influence of anchoring effects from previous laboratory experiments, numerous real-world behavioral effects have been attributed to anchoring. Recent examples for these applications include real estate pricing (Bucchianeri and Minson, 2013), art and online auctions (Beggs and Graddy, 2009;Dodonova and Khoroshilov, 2004), sports betting (Johnson et al, 2009;McAlvanah and Moul, 2013), earnings forecasts (Cen et al, 2013), financial forecasts (Fujiwara et al, 2013), macroeconomic forecasts (Bofinger and Schmidt, 2003;Campbell and Sharpe, 2009;Hess and Orbe, 2013) and sales forecasting (Lawrence and O'Connor, 2000).…”
Section: Introductionmentioning
confidence: 99%
“…However, auctions with a BIN option also exhibited significantly higher minimum bid requirements, which again complicates pinning down the net influence of the BIN option. Finally, Dodonova and Khoroshilov (2004) [19] use a dataset of bracelet auctions at biz.com to show that final auction prices are increasing in the BIN price. They suggest that this result is driven by anchoring: the behavioral bias that individuals fail to ignore irrelevant information when making numerical judgments.…”
Section: Introductionmentioning
confidence: 99%