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Auction theory is an applied branch of game theory which deals with how people act in auction markets and researches the game-theoretic properties of auction markets. There are many possible designs (or sets of rules) for an auction and typical issues studied by auction theorists include the efficiency of a given auction design, optimal and equilibrium bidding strategies, and revenue comparison. Auction theory is also used as a tool to inform the design of real-world auctions; most notably auctions for the privatisation of public-sector companies or the sale of licenses for use of the electromagnetic spectrum.
[edit] Types of auctionThere are traditionally four types of auction that are used for the allocation of a single item:
Most auction theory revolves around these four "standard" auction types. However, other auction types have also received some academic study, such as:
[edit] Game-theoretic modelsA game-theoretic auction model is a mathematical game represented by a set of players, a set of actions (strategies) available to each player, and a payoff vector corresponding to each combination of strategies. Generally, the players are the buyer(s) and the seller(s). The action set of each player is a set of bid functions or reservation prices. Each bid function maps the player's value (in the case of a buyer) or cost (in the case of a seller) to a bid price. The payoff of each player under a combination of strategies is the expected utility (or expected profit) of that player under that combination of strategies. Game-theoretic models of auctions and strategic bidding generally fall into either of the following two categories. In a private value model, each participant (bidder) assumes that each of the competing bidders obtains a random private value from a probability distribution. In a common value model, each participant assumes that any other participant obtains a random signal from a probability distribution common to all bidders. Usually, but not always, a private values model assumes that the values are independent across bidders, whereas a common value model usually assumes that the values are independent up to the common parameters of the probability distribution. When it is necessary to make explicit assumptions about bidders' value distributions, most of the published research assumes symmetric bidders. This means that the probability distribution from which the bidders obtain their values (or signals) are identical across bidders. In a private values model which assumes independence, symmetry implies that the bidders' values are independently and identically distributed (i.i.d.). An important example (which does not assume independence) is Milgrom and Weber's "general symmetric model" (1982).[1] [2] One of the earlier published theoretical research addressing properties of auctions among asymmetric bidders is Keith Waehrer's 1999 article.[3] Later published research include Susan Athey's 2001 Econometrica article,[4] as well as Reny and Zamir (2004).[5] In a simple first-price auction model with two buyers are bidding for an object, each buyer might assume that the rival buyer's private value is drawn from the uniform distribution over the interval [0,1], with the cumulative distribution function F(v) = v. (Since F is symmetric between the two buyers, this is an auction model with symmetric bidders.) Assuming that: (i) the value of the object for the seller is 0, and (ii) the seller's reservation price is also 0,[6] each buyer's expected utility U as a function of his/her bid price p is equal to the consumer surplus that the buyer will receive conditional on winning (v − p), multiplied by the likelihood that he or she is going to be the buyer with the highest bid price. That likelihood is given by the probability that this buyer's bid price p exceeds the other buyer's bid price B (expressed as a function of the other buyer's value vo). Express this probability as Pr{p > B(vo)}. Then, U(p) = (v − p)Pr{p > B(vo)}. Assume that each buyer's equilibrium bid price is monotonically increasing in that buyer's value; this implies that the bid function B has an inverse function. Let Y be the inverse of B: Y = B − 1. Then U(p) = (v − p)Pr{Y(p) > vo}. Since vo is distributed F(vo), Pr{Y(p) > vo} = F(Y(p)) = Y(p), which implies U(p) = (v − p)Y(p). A bid price p maximizes U if U'(p) = 0. Differentiating U with respect to p and setting to zero, At this point, one may conjecture that the (unique) solution is the linear function [edit] Revenue equivalenceOne of the major findings of Auction Theory is the celebrated Revenue Equivalence Theorem, which states that any allocation mechanism/auction in which (i) the bidder with the highest type/signal/value always wins, (ii) the bidder with the lowest possible type/value/signal expects zero surplus, (iii) where all bidders are risk neutral and (iv) drawn from a strictly increasing and atomless distribution will lead to the same revenue for the seller (and player i of type v can expect the same surplus across auction types). [edit] Winner's curseThe winner's curse is a phenomenon which can occur in common value settings--when the actual values to the different bidders are unknown but correlated, and the bidders make bidding decisions based on estimated values. In such cases, the winner will tend to be the bidder with the highest estimate, and that winner will frequently have bid too much for the auctioned item. In an equilibrium of such a game, the winner's curse does not occur because the bidders account for the bias in their bidding strategies. Nonetheless, models of such auctions can help identify the winner's curse. [edit] JEL ClassificationIn the Journal of Economic Literature Classification System C7 is the classification for Game Theory and D44 is the classification for Auctions.[8] [edit] Footnotes
[edit] Further reading
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