Lecture 4: Auction Theory and Bidding Strategy — How Much Should You Bid to Win?
Auctions as a Game Theory Laboratory
Auctions are an arena where information asymmetry and strategic interaction are on full display. The 2020 Nobel Prize in Economics was awarded to Paul Milgrom and Robert Wilson, the pioneers of auction theory.
| Type | Mechanism | Real-World Example | Characteristics |
|---|---|---|---|
| English (Ascending) | Highest bidder wins | Sotheby's art auctions | Transparent; competition can escalate |
| Dutch (Descending) | Starts high, first to accept wins | Flower markets, fresh seafood | Fast; advantageous in low-information settings |
| First-Price Sealed-Bid | Private submission; highest bid wins and pays that amount | Government procurement, land auctions | Incentive to shade bids below true value |
| Second-Price Sealed-Bid (Vickrey) | Private submission; highest bid wins but pays 2nd-place price | Some online ad auctions | Truthful bidding is the dominant strategy |
The Winner’s Curse
In common-value auctions (e.g., oil drilling rights, M&A), the winner often overpays. Why? The winner is the person who valued the item most optimistically, and that valuation is likely to be an overestimate. This is the winner’s curse.
| Case | Phenomenon | Lesson |
|---|---|---|
| Oil drilling rights auctions (1950s–70s) | Winning firms earned below-market returns on average | Difficulty of estimating common value |
| Corporate M&A | Acquirer's stock price drops on average post-deal | Synergies were overestimated |
| US 3G spectrum auctions (2000) | Telecoms over-bid, leading to financial distress | Revenue forecasts for new technology were too optimistic |
| Job offer salary negotiation | When company's offer is below market rate | Feeling undervalued after joining |
Winner's Curse Defense Strategies:
→ In common-value auctions, shade your bid downward
→ Recognize: "If I win, my estimate was the most optimistic"
→ Use independent expert valuations
→ Set your bid based on a worst-case scenario
Optimal Bidding Strategies
| Auction Type | Optimal Strategy | Reason |
|---|---|---|
| English | Bid up to your true value | No profit in bidding any other way |
| Vickrey (2nd-price) | Bid your true value honestly | Both over- and under-bidding lead to worse outcomes |
| First-price sealed | Shade bid below your true value | Secure a margin of profit if you win |
| Common-value sealed | Discount estimate for winner's curse bias | Correct for the winner's curse |
Accurately estimate your true maximum willingness to pay (WTP). Avoid overestimating due to emotional attachment or competitive excitement.
Assess the number and information level of competitors. The more competitors in a first-price auction, the closer your bid should be to your true value.
Knowing more about the item than your competitors is your most powerful weapon. Due diligence investment improves the accuracy of your bid.
To remove emotion, set a firm ceiling before the auction — 'I will not go above this amount under any circumstances' — and hold to it even amid bidding excitement.
Reverse Auctions and Procurement Strategy
The reverse of a typical auction — where a buyer forces suppliers to compete — is equally important.
| Perspective | Buyer's Strategy | Supplier's Strategy |
|---|---|---|
| Price Competition | Secure enough suppliers to drive competition | Pre-calculate a cost floor before bidding |
| Information Disclosure | Disclose that bids are competitive (as leverage) | Recognize that the lowest bid may signal quality concerns |
| Non-price Terms | Specify quality, delivery, and service requirements | Highlight strengths beyond price |
| Relationships | Balance short-term low prices vs. long-term partnerships | Be aware of the risk of hidden costs after winning at a low price |
Spectrum Auctions Through a Game Theory Lens
Real government spectrum auctions are the biggest real-world stage for auction theory.
Complexity in Spectrum Auctions:
→ Complementarities: Band A and Band B are valuable only together
→ Package bidding: strategy of bidding on individual vs. bundled lots
→ Strategic bidding: bidding to weaken competitors (shill bidding)
→ Combinatorial Auctions: the modern solution
US 5G Spectrum Auction (2021):
→ C-Band (3.7 GHz) auctioned off
→ Verizon, AT&T, T-Mobile participated
→ Total bids exceeded $81 billion
Key Takeaways
Vickrey auction: bid your true value — honesty is the dominant strategy First-price sealed: shade below your true value — secure a winning margin Winner’s curse: the winner = the most optimistic estimator → discount bids in common-value auctions The strongest weapon: information — knowing more than your competitors enables accurate valuation
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