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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. $$ \begin{array}{|c|c|c|c|c|c|c|c|c|c|} \hline \text { Ann } & \text { Bill } & \text { Colin } & \text { Dave } & \text { Ellen } & \text { Frank } & \text { Gale } & \text { Hal } & \text { Irwin } & \text { Jim } \\ 45 & 53 & 92 & 61 & 26 & 78 & 82 & 70 & 65 & 56 \\ \hline \end{array} $$ 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 \(\underline{p}\), 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?

Short Answer

Expert verified
(a) Colin wins, paying $82. (b) Colin wins, paying $83. (c) Optimal reserve price is $80; Colin wins with $83.

Step by step solution

01

Understanding Second-Price Sealed-Bid Auction

In a second-price sealed-bid auction, each bidder submits a bid without knowing the others' bids. The highest bidder wins, but the price paid is the second-highest bid. Hence, the bidder with the highest valuation should bid their true value.
02

Determine Winner and Payment for Second-Price Auction

From the given valuations, Colin values the desk the most at $92. In a second-price auction, Colin wins because he has the highest valuation and would probably bid $92. However, he pays the second highest bid, which is Gale's valuation of $82.
03

Understanding First-Price Sealed-Bid Auction with Common Knowledge

In a first-price auction with common knowledge, each bidder knows everyone's valuations. Bidders strategically choose lower bids than their valuations to maximize profit, knowing others' values. This involves predicting other bidders' strategies.
04

Determine Winner and Payment for First-Price Auction

Given Colin's highest valuation of $92 and strategic thinking, Colin would likely place a slightly higher bid than the second-highest valuation, Gale's $82, to outbid him with minimal cost. Colin might bid around $83 to secure the desk at minimal cost.
05

Understanding Sealed-Bid, First-Price Auction with Reserve Price

Here, bidders must bid above a reserve price to participate. The seller maximizes revenue by setting a reserve price low enough to ensure competition but high enough to ensure a worthwhile sale.
06

Determine Optimal Reserve Price and Winner with Highest Bid

Given the highest valuation is $92 and the competitive range is between alternative high valuations, a reserve price slightly below the second-highest valuation, say $80, ensures competition. Colin would still likely win with a bid around $83, knowing Gale might stop at $82 to avoid overshooting his optimal strategy.

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Key Concepts

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

Second-Price Auction
In a second-price auction, each bidder submits a bid without knowing the bids of others. The unique aspect of this auction is that the highest bidder wins, but the payment required is the second-highest bid. This setup means that bidders can safely bid their true valuation without fear of overpaying.

For example, if Colin values the desk at $92, he can bid exactly that. If his bid is the highest, he will win, but he will only pay the amount of the second-highest bid. In the case from the exercise, Gale has the second-highest valuation at $82, meaning Colin wins the auction but pays $82. This encourages bidders to bid honestly, aligning their bids with their true valuations since they know they won't overpay.
First-Price Auction
In a first-price auction, also known as a sealed-bid auction, each participant submits their bid without knowing the others' bids. Unlike the second-price auction, the winner must pay the amount they bid. This adds a layer of strategy, as each bidder must balance bidding their true value against the risk of overpaying.

When bids are common knowledge, players can anticipate each other's strategies. In these conditions, Colin, with the highest valuation, must decide how to ensure he bids just enough to win. Understanding that the highest bid against him would be Gale's $82 valuation, Colin could choose to bid slightly higher, perhaps $83, to win at the lowest possible price while still outbidding Gale.
Sealed-bid Auction
Sealed-bid auctions require bidding without any advance knowledge of competitors' bids. Under both first-price and second-price formats, each bid is kept secret until all are submitted.

These auctions feature distinctive bidding tactics due to the sealed nature. Participants emphasize strategy, particularly in predicting competitors' bids and strategically setting their own to win without exceeding personal valuation limits. This secrecy can encourage more honest bidding since guessing can be difficult.
Reserve Price
The reserve price acts as a minimum threshold below which an item won't be sold in an auction. It protects sellers by ensuring they don't sell at a price lower than deemed acceptable.

Setting an optimal reserve price is crucial in auctions, especially when bidders' valuations are known. A reserve price should be low enough to attract bidders but high enough to ensure a satisfactory sale for the seller. In the exercise, a good strategy is to set the reserve slightly below the known second-best value, maybe at $80, to stimulate bidding while ensuring a reasonable sale.
Nash Equilibrium
Nash equilibrium is a foundational concept in game theory where each player's strategy is optimal given the strategies of all other players. No participant can gain by changing only their own strategy unilaterally.

In the context of auctions, Nash equilibrium can be seen in the strategic decision-making process. For instance, when all players know each other's valuations, they aim to anticipate actions, such as Colin predicting Gale's bidding strategy. Each bidder, by finding the best response strategy, contributes to reaching a Nash equilibrium, ensuring that no one benefits from deviating from their chosen strategy given others' choices.

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Most popular questions from this chapter

Consider an "all-pay auction" with two players (the bidders). Player 1's valuation \(v_{1}\) for the object being auctioned is uniformly distributed between 0 and 1. That is, for any \(x \in[0,1]\), 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 \(b_{i}\), then his/her payoff is \(-b_{i}\) if he/she does not win the auction; his/her payoff is \(v_{i}-b_{i}\) 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 \(b_{i}\left(v_{i}\right)=k v_{i}^{2}\) for some number \(k\).)

Consider the common-value auction described in this chapter, where \(Y=y_{1}+y_{2}\) and \(y_{1}\) and \(y_{2}\) are both uniformly distributed on \([0,10]\). Player \(i\) privately observes \(y_{i}\). Players simultaneously submit bids and the one who bids higher wins. (a) Suppose player 2 uses the bidding strategy \(b_{2}\left(y_{2}\right)=3+y_{2}\). 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 \(b_{i}=y_{i}+z\).

Consider a first-price auction with three bidders, whose valuations are independently drawn from a uniform distribution on the interval \([0,30]\). Thus, for each player \(i\) and any fixed number \(y \in[0,30], y / 30\) is the probability that player \(i\) 's valuation \(v_{i}\) is below \(y\). (a) Suppose that player 2 is using the bidding function \(b_{2}\left(v_{2}\right)=(3 / 4) v_{2}\), and player 3 is using the bidding function \(b_{3}\left(v_{3}\right)=(4 / 5) v_{3}\). Determine player 1's optimal bidding function in response. Start by writing player 1 's expected payoff as a function of player 1's valuation \(v_{1}\) and her bid \(b_{1}\). (b) Disregard the assumptions made in part (a). Calculate the Bayesian Nash equilibrium of this auction game and report the equilibrium bidding functions.

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.

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.

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