7,363 research outputs found
Over- and underbidding in central bank open market operations conducted as fixed rate tender
Open market operations play a key role in allocating central bank funds to the banking system and thereby to steer short-term interest rates in line with the stance of monetary policy. Many central banks apply so-called âfixed rate tenderâ auctions in their open market operations. This note presents, on the basis of a survey of central bank experience, a model of bidding in such tenders. In their conduct of fixed rate tenders, many central banks faced specifically an âunderâ- and an âoverbiddingâ problem. These phenomena are revisited in the light of the proposed model and the more general question of the optimal tender procedure and allotment policy of central banks is addressed. --open market operations,tender procedures,central bank liquidity management
License Auctions with Royalty Contracts for (Winners and) Losers
This paper revisits the licensing of a nonâdrastic process innovation by an outside innovator to a Cournot oligopoly. We propose a new mechanism that combines a restrictive license auction with royalty licensing. This mechanism is more profitable than standard license auctions, auctioning royalty contracts, fixedâfee licensing, pure royalty licensing, and two-part tariffs. The key features are that royalty contracts are auctioned and that losers of the auction are granted the option to sign a royalty contract. Remarkably, combining royalties for winners and losers makes the integer constraint concerning the number of licenses irrelevant
Optimal Real-Time Bidding Strategies
The ad-trading desks of media-buying agencies are increasingly relying on
complex algorithms for purchasing advertising inventory. In particular,
Real-Time Bidding (RTB) algorithms respond to many auctions -- usually Vickrey
auctions -- throughout the day for buying ad-inventory with the aim of
maximizing one or several key performance indicators (KPI). The optimization
problems faced by companies building bidding strategies are new and interesting
for the community of applied mathematicians. In this article, we introduce a
stochastic optimal control model that addresses the question of the optimal
bidding strategy in various realistic contexts: the maximization of the
inventory bought with a given amount of cash in the framework of audience
strategies, the maximization of the number of conversions/acquisitions with a
given amount of cash, etc. In our model, the sequence of auctions is modeled by
a Poisson process and the \textit{price to beat} for each auction is modeled by
a random variable following almost any probability distribution. We show that
the optimal bids are characterized by a Hamilton-Jacobi-Bellman equation, and
that almost-closed form solutions can be found by using a fluid limit.
Numerical examples are also carried out
Revenue Equivalence Revisited
The conventional wisdom in the auction design literature is that first price sealed bid auctions tend to make more money while ascending auctions tend to be more efficient. We re-examine these issues in an environment in which bidders are allowed to endogenously choose in which auction format to participate. Our findings are that more bidders choose to enter the ascending auction than the first price sealed bid auction and this extra entry is enough to make up the revenue difference between the formats. Consequently, we find that both formats raise approximately the same amount of revenue. They also generate efficiency levels and bidder earnings that are roughly equivalent across mechanisms though the earnings in the ascending might be slightly higher. In expected utility terms though, we find that the expected utility of entering a first price sealed bid auction is greater than entering an ascending for any risk averse bidder suggesting that we are seeing âoverentryâ into the ascending auctions
Approximately Optimal Mechanism Design: Motivation, Examples, and Lessons Learned
Optimal mechanism design enjoys a beautiful and well-developed theory, and
also a number of killer applications. Rules of thumb produced by the field
influence everything from how governments sell wireless spectrum licenses to
how the major search engines auction off online advertising. There are,
however, some basic problems for which the traditional optimal mechanism design
approach is ill-suited --- either because it makes overly strong assumptions,
or because it advocates overly complex designs. The thesis of this paper is
that approximately optimal mechanisms allow us to reason about fundamental
questions that seem out of reach of the traditional theory.
This survey has three main parts. The first part describes the approximately
optimal mechanism design paradigm --- how it works, and what we aim to learn by
applying it. The second and third parts of the survey cover two case studies,
where we instantiate the general design paradigm to investigate two basic
questions. In the first example, we consider revenue maximization in a
single-item auction with heterogeneous bidders. Our goal is to understand if
complexity --- in the sense of detailed distributional knowledge --- is an
essential feature of good auctions for this problem, or alternatively if there
are simpler auctions that are near-optimal. The second example considers
welfare maximization with multiple items. Our goal here is similar in spirit:
when is complexity --- in the form of high-dimensional bid spaces --- an
essential feature of every auction that guarantees reasonable welfare? Are
there interesting cases where low-dimensional bid spaces suffice?Comment: Based on a talk given by the author at the 15th ACM Conference on
Economics and Computation (EC), June 201
The European UTMS/IMT2000 license auctions
We survey the recent European UMTS license auctions and compare
their outcomes with the predictions of a simple model that emphasizes future
market structure as a main determinant of valuations for licenses. Since the
main goal of most spectrum allocation procedures is economic efficiency, and
since consumers (who are affected by the ensuing market structure) do not
participate at the auction stage, good designs must alleviate the asymmetry
among incumbents and potential entrants by actively encouraging entry
On Capturing Oil Rents with a National Excise Tax Revisited
In this paper the scope of Bergstromâs (1982) results is studied. Moreover, his analysis is extended assuming that extraction cost is directly related to accumulated extractions. For the case of a competitive market it is found that the optimal policy is a constant tariff if extraction is costless. However, with depletion effects, the optimal tariff must ultimately be decreasing. For the case of a monopolistic market the results depend crucially on the kind of strategies the importing country governments can play and on whether the monopolist chooses the price or extraction rate. For a price-setting monopolist it is shown that the importing countries cannot use a tariff to capture monopoly rents if they are constrained to use open-loop strategies, even if the governments sign a tariff agreement. This result is drastically modified if the importing countries in the tariff agreement use Markov (feedback) strategies. For a quantity-setting monopolist the nature of the game changes and the importing country governments find it advantageous to set a tariff on resource importations. Moreover, in this case the importing countries in a tariff agreement enjoy a strategic advantage which allows them to behave as a leader.Tariffs, Tariff agreements, Non renewable resources, Depletion effects, Price-setting monopolist, Quantity-setting monopolist, Differential games, Open-loop strategies, Linear strategies, Markov-perfect Nash equilibrium, Markov-perfect Stackelberg equilibrium
License Auctions with Royalty Contracts for (Winners and) Losers
This paper revisits the licensing of a nonâdrastic process innovation by an outside innovator to a Cournot oligopoly. We propose a new mechanism that combines a restrictive license auction with royalty licensing. This mechanism is more profitable than standard license auctions, auctioning royalty contracts, fixedâfee licensing, pure royalty licensing, and two-part tariffs. The key features are that royalty contracts are auctioned and that losers of the auction are granted the option to sign a royalty contract. Remarkably, combining royalties for winners and losers makes the integer constraint concerning the number of licenses irrelevant.patents; licensing; auctions; royalty; innovation; R&D; mechanism design
Instant Efficient Pollution Abatement under Non-Linear Taxation and Asymmetric Information: The Differential Tax Revisited
This paper analyzes incentives for polluting firms to exchange abatement cost information under the non-linear pollution tax scheme (âdifferential taxâ) introduced by Kim and Chang [J. Regul. Econom. 5, 1993, 193-197]. It shows that polluting firms have - under mild conditions - an incentive to join a coalition whose members mutually truthfully exchange information as well as commit themselves with respect to their abatement decisions. As a result, the differential tax triggers instantly - i.e. no abatement adaptation is needed â efficient abatement levels without the regulator knowing marginal abatement costs. Consequently, this paper shows that differential taxation results in lower social costs than traditional non-linear taxation which triggers efficient emissions only after a period of non-efficient abatement.Externalities, Pollution taxes, Coalition formation, Non-linear taxation, Asymmetric information, Co-operative game theory
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