Behavioral Science Dictionary

Common-value auction

Behavioral Economics

An auction for something worth the same to everyone, if only they knew what.

What it means

An auction in which the item has a single, objective value that is identical for all bidders but unknown at the time of bidding, so each participant bids on a noisy private estimate of it. Because the true value is common, the information revealed by others' bids — and especially by the fact of winning — is relevant to every bidder, unlike in private-value auctions where tastes differ. This informational structure breeds the winner's curse and forces sophisticated bidders to shade their bids. It matters because many high-stakes auctions, from mineral rights to spectrum licenses to corporate takeovers, are at least partly common-value, where mis-modeling the setting is costly.

Why winning is bad news

The defining feature is adverse selection delivered by the act of winning itself. Each bidder draws a private estimate scattered around the same true value, so whoever holds the most optimistic estimate tends to win. Conditioning on the event 'I won,' the winner should infer that their estimate was probably the highest of the field, and therefore too high. A bidder who bids their raw estimate wins disproportionately in the cases where they have overpaid. The rational fix is to bid not as if the estimate is correct but as if it is the largest of all the draws. In equilibrium bidders shade downward, and shade more the more rivals they face, because a winning estimate drawn from a larger pool is more extreme. Ignoring this correction is the winner's curse.

What laboratory experiments show

Kagel and Levin made the phenomenon measurable. Inexperienced subjects bidding for an item drawn from a known common-value distribution routinely bid above its expected value and earned negative profits, and the curse deepened as the number of bidders rose, the opposite of the rational prediction that thicker competition should induce more shading. Experience attenuates the effect but does not remove it. Charness and Levin traced the root to contingent reasoning: people struggle to evaluate 'what would the value be, given that my bid turns out to win,' a hypothetical they must weigh before the outcome is known. Kagel and Levin also found that releasing public information, which theory says should raise the seller's revenue, instead lowered it while bidders were still cursed. It is among the most replicated anomalies in experimental economics.

Evidence from the field

Whether real bidders fall prey is more contested. Hendricks and Porter studied United States offshore oil-lease auctions and found behavior broadly consistent with equilibrium under asymmetric information rather than with naive overbidding. On drainage tracts adjacent to known deposits, neighbouring firms held better geological information and earned higher returns, while uninformed outsiders bid cautiously and roughly broke even, evidence that sophisticated participants anticipate the adverse selection and protect themselves. The pattern suggests the winner's curse is robust in the laboratory and among novices, but experienced, repeat bidders in high-stakes markets largely learn to correct for it. That gap between the lab and the field is itself a central research theme rather than a settled point.

Designing around it

Because the curse suppresses bids, and with them revenue, auction format matters to the seller. Milgrom and Weber's linkage principle shows that when values are affiliated, formats that reveal more information raise the expected price: an open ascending auction, where bidders watch rivals drop out, tends to outperform a sealed first-price auction, and a seller who credibly discloses an appraisal earns more by shrinking the uncertainty that drives shading. This reasoning shaped modern spectrum auctions, whose open, multi-round designs let bidders read the emerging common value as they go. The same logic explains chronic overpayment in corporate takeover contests, where acquirers cannot see rivals' information and the winner is often simply the most optimistic estimator of a value that is roughly the same for everyone.

Examples

Bidders for an offshore oil tract are all guessing the same true quantity of recoverable oil, which none of them can observe directly.

A jar of coins auctioned in a classroom has one true value; everyone eyeballs the same jar, and the student who most overestimates the count wins it and loses money.

Rival firms bidding for a construction contract are all guessing the same underlying cost of the job; the one who most underestimates it wins the tender and then cannot deliver at that price.

Publishers bidding for a debut novel's rights are all estimating the same future sales; the house that most overrates the book's demand wins the advance and cannot earn it back.

When a bank auctions a foreclosed building, a local developer who has inspected it knows roughly what it is worth, so distant investors tend to win only the lots the insider judged not worth chasing; bidders who ignore that they are selected against overpay on whatever they take.

First described in Auction theory; Wilson (1969); Milgrom & Weber (1982).

Key references

  1. Charness, G., & Levin, D. (2009). The Origin of the Winner's Curse: A Laboratory Study. American Economic Journal: Microeconomics, 1(1), 207-236. doi.org/10.1257/mic.1.1.207
  2. Eyster, E., & Rabin, M. (2005). Cursed Equilibrium. Econometrica, 73(5), 1623-1672. doi.org/10.1111/j.1468-0262.2005.00631.x
  3. Hendricks, K., & Porter, R. H. (1988). An Empirical Study of an Auction with Asymmetric Information. American Economic Review, 78(5), 865-883. www.jstor.org/stable/1807154
  4. Kagel, J. H., & Levin, D. (1986). The Winner's Curse and Public Information in Common Value Auctions. American Economic Review, 76(5), 894-920. ideas.repec.org/a/aea/aecrev/v76y1986i5p894-920.html
  5. Milgrom, P. R., & Weber, R. J. (1982). A Theory of Auctions and Competitive Bidding. Econometrica, 50(5), 1089-1122. doi.org/10.2307/1911865
  6. Wilson, R. (1969). Competitive Bidding with Disparate Information. Management Science, 15(7), 446-452. econpapers.repec.org/article/inmormnsc/v_3a15_3ay_3a1969_3ai_3a7_3ap_3a446-452.htm

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