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Suppose that you and two other people are competing in a third-price, sealed- bid auction. In this auction, players simultaneously and independently submit bids. The highest bidder wins the object but only has to pay the bid of the third-highest bidder. Sure, this is a silly type of auction, but it makes for a nice exercise. Suppose that your value of the object is 20 . You do not know the values of the other two bidders. Demonstrate that, in contrast with a second-price auction, it may be strictly optimal for you to bid 25 instead of 20 . Show this by finding a belief about the other players' bids under which 25 is a best-response action, yet 20 is not a best-response action.

Short Answer

Expert verified
Bidding 25 can be optimal if opponents' bids are guessed between 15 and 24. Bidding 20 may miss value opportunities.

Step by step solution

01

Understanding the Problem

In a third-price auction, the winner (highest bidder) pays the amount of the third-highest bid. You value the item at 20, but consider if bidding 25 might be better under certain conditions.
02

Define the Strategy and Opponent Behavior

We need to consider a scenario where bidding 25 helps us win and pay less than the item's value. Suppose you believe each of your two opponents will bid uniformly between 15 and 24.
03

Outcome of Bidding 25

If you bid 25 and your opponents bid between 15 and 24, you win the object. The critical condition is when one opponent bids 24 (second-highest) and the other bids 23 (third-highest). You pay 23, which is less than your value 20.
04

Outcome of Bidding 20

If you bid 20, consider a situation where one opponent bids at 24 and the other at 19. You lose, as the highest bid overtakes yours, and you pay nothing but obtain no value either.
05

Comparing Expected Values

By bidding 25, you guarantee winning the object when prices reach this critical interval (23 and 24 bid by opponents), paying less than your value and thus gaining utility. Bidding 20 risk losing in similar circumstances where you could have won with a higher bid.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Third-Price Auction
In a third-price auction, three bidders participate and each simultaneously submits a secret bid for an item. The bidder with the highest bid wins the auction. However, what makes this auction unique is that the final price paid by the winner is the amount of the third-highest bid, not their own bid. This intriguing aspect of third-price auctions creates strategic complexities as bidders try to navigate their bids. Although this format is unusual and not common in practice, it illustrates key game theory principles and helps deepen understanding of strategic decision-making.
Sealed-Bid Auction
A sealed-bid auction is a type of auction where each bidder submits their bid in secret, without knowing the bids of others. This contrasts with an open auction, like an English auction, where bids are made publicly and incrementally. In sealed-bid auctions, strategic decision-making plays a crucial role. Because no bidder can predict others' offers, each must carefully consider the value of the item, their own valuation, and possible valuations of competitors.
This consideration must align with how much they are willing to pay — not too little to avoid losing out and not too much to avoid overpaying. Thus, sealed-bid auctions are an excellent example of how uncertainty can affect strategy.
Best-Response Action
A best-response action in game theory is the strategy that yields the highest payoff for a player, given the strategies chosen by other players. It is essentially an optimal reaction to the perceived choices of others in the game. To determine the best-response action in a third-price, sealed-bid auction, a player must forecast others' bids and select a bid amount that either maximizes gains or minimizes potential losses. For example, if a player believes opponents will bid between 15 and 24, a bid of 25 might ensure winning while still paying below one's own valuation of the item. This approach confronts the traditional assumption from second-price auctions where bidding one's true valuation is generally optimal.
Strategy Formulation
Strategy formulation involves deciding upon the plan of action that aligns with the predicted behaviors of other players. In the context of a third-price, sealed-bid auction, formulating a strategy requires analyzing the possible outcomes based on estimated opponent bids.
Being successful in such an auction requires flexibility and insight into potential bid distributions of opponents. A player with a value of 20 for the auction item might consider bidding higher if they believe competitors will bid in a specific range that allows for strategic gain, such as bidding 25 to win the object by paying less than 20. Formulating this strategy draws from basic principles of game theory, such as anticipation, adaptation, and prediction of others' actions. Ultimately, the goal is to adjust one's own bidding to achieve the highest possible utility.

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Most popular questions from this chapter

Consider the two-bidder auction environment discussed in this chapter, where the bidders' values are independently drawn and distributed uniformly on the interval [0,900]. Demonstrate that, by setting a reserve price, the auctioneer can obtain an expected revenue that exceeds what he would expect from the standard first- and second-price auctions. You do not have to compute the optimal reserve price or the actual equilibrium strategies to answer this question.

Consider an "all-pay auction" with two players (the bidders). Player 1's valuation v1 for the object being auctioned is uniformly distributed between 0 and 1. That is, for any x[0,1], player 1's valuation is below x with probability x. Player 2's valuation is also uniformly distributed between 0 and 1, so the game is symmetric. After nature chooses the players' valuations, each player observes his/her own valuation but not that of the other player. Simultaneously and independently, the players submit bids. The player who bids higher wins the object, but both players must pay their bids. That is, if player i bids bi, then his/her payoff is bi if he/she does not win the auction; his/her payoff is vibi if he/she wins the auction. Calculate the Bayesian Nash equilibrium strategies (bidding functions). (Hint: The equilibrium bidding function for player i is of the form bi(vi)=kvi2 for some number k.)

Complete the analysis of the second-price auction by showing that bidding one's valuation vi is weakly preferred to bidding any \(x

Consider the common-value auction described in this chapter, where Y=y1+y2 and y1 and y2 are both uniformly distributed on [0,10]. Player i privately observes yi. Players simultaneously submit bids and the one who bids higher wins. (a) Suppose player 2 uses the bidding strategy b2(y2)=3+y2. What is player 1's best-response bidding strategy? (b) Suppose each player will not select a strategy that would surely give him/her a negative payoff conditional on winning the auction. Suppose also that this fact is common knowledge between the players. What can you conclude about how high the players are willing to bid? (c) Show that for every fixed number z>0, there is no Bayesian Nash equilibrium in which the players both use the bidding strategy bi=yi+z.

Suppose that a person (the "seller") wishes to sell a single desk. Ten people are interested in buying the desk: Ann, Bill, Colin, Dave, Ellen, Frank, Gale, Hal, Irwin, and Jim. Each of the potential buyers would derive some utility from owning the desk, and this utility is measured in dollar terms by the buyer's "value." The valuations of the 10 potential buyers are shown in the following table.  Ann  Bill  Colin  Dave  Ellen  Frank  Gale  Hal  Irwin  Jim 45539261267882706556 Each bidder knows his or her own valuation of owning the desk. Using the appropriate concepts of rationality, answer these questions: (a) If the seller holds a second-price, sealed-bid auction, who will win the auction and how much will this person pay? (b) Suppose that the bidders' valuations are common knowledge among them. That is, it is common knowledge that each bidder knows the valuations of all of the other bidders. Suppose that the seller does not observe the bidders' valuations directly and knows only that they are all between 0 and 100 . If the seller holds a first-price, sealed-bid auction, who will win the desk and how much will he or she have to pay? (Think about the Nash equilibrium in the bidding game. The analysis of this game is a bit different from the [more complicated] analysis of the first-price auction in this chapter because here the bidders know one another's valuations.) (c) Now suppose that the seller knows that the buyers' valuations are 45,53 , 92,61,26,78,82,70,65, and 56 , but the seller does not know exactly which buyer has which valuation. The buyers know their own valuations but not one another's valuations. Suppose that the seller runs the following auction: She first announces a reserve price p. Then simultaneously and independently the players select their bids; if a player bids below p, then this player is disqualified from the auction and therefore cannot win. The highest bidder wins the desk and has to pay the amount of his or her bid. This is called a "sealed-bid, first price auction with a reserve price." What is the optimal reserve price p for the seller to announce? Who will win the auction? And what will the winning bid be?

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