A Principal-Agent Model of Bidding Firms in Multi-Unit Auctions

Principal-agent relationships in bidding firms are widespread in high-stakes auctions. Often only the agent has information about the value of the objects being sold. The board wants to maximize the profit, but the management wants to win the package with the highest value. In environments in which it is efficient for firms to coordinate on jointly winning packages, we show that the principals would coordinate, while the agents would not. We analyze environments with decreasing levels of information that the principal has about the valuations. Depending on the auction format it can be impossible to set budget constraints that align the agents’ strategies in equilibrium. The analysis helps explain price wars in high-stakes auctions

Allocative and Informational Externalities in Auctions and Related Mechanisms

We study the effects of allocative and informational externalities in (multi-object) auctions and related mechanisms. Such externalities naturally arise in models that embed auctions in larger economic contexts. In particular, they appear when there is downstream interaction among bidders after the auction has closed. The endogeneity of valuations is the main driving force behind many new, specific phenomena with allocative externalities: even in complete information settings, traditional auction formats need not be efficient, and they may give rise to multiple equilibria and strategic non-participation. But, in the absence of informational externalities, welfare maximization can be achieved by Vickrey-Clarke- Groves mechanisms. Welfare-maximizing Bayes-Nash implementation is, however, impossible in multi-object settings with informational externalities, unless the allocation problem is separable across objects (e.g. there are no allocative externalities nor complementarities) or signals are one-dimensional. Moreover, implementation of any choice function via ex-post equilibrium is generically impossible with informational externalities and multidimensional types. A theory of information constraints with multidimensional signals is rather complex, but indispensable for our study

A Rule-driven Approach for Defining the Behavior of Negotiating Software Agents

One problem with existing agent-mediated negotiation systems is that they rely on ad hoc, static, non-adaptive, and hardcoded schemes to represent the behaviour of agents. This limitation is probably due to the complexity of the negotiation task itself. Indeed, while negotiating, software (human) agents face tough decisions. These decisions are based not only on the information made available by the negotiation server, but on the behaviour of the other participants in the negotiation process as well. The information and the behaviour in question are constantly changing and highly uncertain. In the first part of the paper, we propose a rule-driven approach to represent, manage and explore negotiation strategies and coordination information. For that, we divide the behaviour of negotiating agents into protocols, strategies and coordination. Among the many advantages of the proposed solution, we can cite the high level of abstraction, the closeness to human understanding, the versatility, and the possibility to modify the agents' behaviour during the negotiation process. To validate our solution, we ran many agent tournaments, and used the rule-driven approach to implement bidding strategies that are common in the English and Dutch auctions. We also implemented simple coordination schemes across several auctions. The ongoing validation work is detailed and discussed in the second part of the paper. Un des inconvénients qu'on retrouve fréquemment dans les systèmes de négociation par agents est qu'ils reposent sur des schémas ad-hoc, non adaptatifs et figés dans le code pour représenter le comportement des agents. Cette limitation est probablement due à la complexité de l'activité de négociation elle-même. En effet, au cours de la négociation, les agents logiciels (humains) ont des décisions difficiles à prendre. Ces décisions ne sont pas seulement basées sur l'information disponible sur le serveur de négociation, mais aussi sur le comportement des autres participants durant le processus de négociation. L'information et le comportement en question changent constamment et sont très incertains. Dans la première partie de l'article, nous proposons une approche à base de règles pour représenter, gérer et explorer les stratégies de négociation ainsi que l'information de coordination. Parmi les nombreux avantages de la solution proposée, on peut citer le haut niveau d'abstraction, la proximité avec la compréhension humaine, la souplesse d'utilisation et la possibilité de modifier le comportement des agents durant le processus de négociation. Pour valider notre solution, nous avons effectué plusieurs tournois entre agents et utilisé l'approche à base de règles pour implémenter des stratégies simples applicables à l'enchère anglaise et à l'enchère hollandaise. Nous avons aussi implémenté des schémas simples de coordination impliquant plusieurs enchères. Le travail de validation, en cours, est détaillé et discuté dans la seconde partie de l'article.e-negotiation, online auction, software agent, negotiation strategy, coordination, rule-based system, rule engine, Négociation électronique, enchères en ligne, agents logiciels, stratégie de négociation, coordination, système à base de règles, moteur de règles

PARTICIPATION AND LEARNING IN AUCTIONS: BIDDING DECISIONS IN EGYPTIAN OILSEED AUCTIONS

Auctions are common mechanisms for identifying prices and suppliers of commodities and are particularly important in agricultural marketing. Information asymmetries among bidders may be ameliorated over time through some form of learning. In this study, we incorporate prior decisions to participate, information from previous auctions, and firm-specific attributes to explain both the decision to bid and the level of the bid. Our analysis uses data from Egyptian oilseed tenders, an important market both for oilseeds and tendering. Because of the unbalanced nature of the panel data, we are able to evaluate the effects of signals received from previous tenders. We find that firms learn from previous auctions and can gain an informational advantage through some form of representation (e.g., by having an agent and/or direct sales agent to the country). Our results provide strong evidence that learning-by-doing affects the decision to participate and that learning affects the bid value. We also find that firms use outcomes of previous auctions to update information in both their decisions to participate in a market as well as determining the bid level. Finally, we find that firms with representation have a higher probability of participating in auctions and some evidence that they submit higher bids (earning higher returns).auction, bidding, tenders, optimal bids, learning, Marketing,

A typology of foreign exchange auction markets in sub-Saharan Africa : dynamic models for auction exchange rates

In this analytical sequel to"A Typology of Foreign Exchange Auction Markets in sub-Saharan Africa", the authors compare the micromanagement of different foreign exchange auctions in sub-Saharan Africa. Multi-unit auctions for foreign exchange were introduced in a number of countries in the 1980s and 1990s, in a transitional step toward a credible, sustainable, unified regime, such as efficient interbank market. But there is little understanding of how auction markets function in sub-Saharan Africa, and there has been virtually no research on the causes of frequent policy reversals or of auction failure. One possible cause of failure -- apart from thin markets, macroeconomic laxity, and vulnerability to terms-of-trade shocks and fluctuations in the disbursement of foreign aid -- is the inappropriate design and management of auctions. The authors estimate models for the microdeterminants of the auction rate, using weekly data on foreign exchange auctions for Ghana, Nigeria, Uganda, and Zambia. Among the policy lessons: 1) Nigeria and Zambia failed to unify and stabilize the exchange rate partly because there was no reserve price rule. When bidders learn such a rule, speculative bidding diminishes. 2) The management of a credible, sustainable reserve price policy requires an efficient secondary market. A simple underlying model, synthesized from the theoretical literature on auctions, specifies the auction rate as a function of fundamental variables and structural shift dummies. The repeated, sequential nature of these multi-unit auctions and the nonstationary nature of most of the auction variables are captured empirically by a cointegrated (error connection) framework. In addition to consistently estimating long-run and short-run parameters of auction fundamentals, the error correction model allows asymptotically efficient testing of three policy hypotheses deriving from auction theory: the competitiveness hypothesis, the effect of uncertainty on the auction-determined rate, and the revenue-equivalence hypothesis. In other words, they used these models to test the impact on the level of the auction rate of increased comptetition among bidders, of the effect of uncertainty (proxied by a volatile supply of foreign exchange), and of different pricing mechanisms.International Terrorism&Counterterrorism,Economic Theory&Research,Markets and Market Access,Access to Markets,Environmental Economics&Policies

Modeling the Use of Nonrenewable Resources Using a Genetic Algorithm

This paper shows, how a genetic algorithm (GA) can be used to model an economic process: the interaction of profit-maximizing oil-exploration firms that compete with each other for a limited amount of oil. After a brief introduction to the concept of multi-agent-modeling in economics, a GA-based resource-economic model is developed. Several model runs based on different economic policy assumptions are presented and discussed in order to show how the GA-model can be used to gain insight into the dynamic properties of economic systems. The remainder outlines deficiencies of GA-based multi-agent approaches and sketches how the present model can be improved.

Biodiversity Conservation on Private Lands: Information Problems and Regulatory Choices

This survey paper examines various information insufficiencies in biodiversity conservation and their impact of regulatory choices. We surveyed the literature in the field and identified four major types of informational insufficiencies in making efficient biodiversity conservation decisions: 1) biological uncertainty 2) natural uncertainty 3) individual information, and 4) monitoring problem. The consequences of these four types of information insufficiencies on the choice of regulatory tools are explored. We discuss in this context three types of regulatory tools: land takings, environmental fees/charges, and contracts. The efficiency of each type of regulatory tools is shown dependent on the specific informational constraints that the regulatory faces.Biodiversity conservation, Information, Regulatory tools

A COLLECTIVE PERFORMANCE-BASED CONTRACT FOR POINT-NONPOINT SOURCE POLLUTION TRADING

Collective performance-based trading can be achieved by pairing a team contract with an auction to determine team membership. The auction effectively overcomes adverse selection, and the team contract reduces the incentive to "free-ride" associated with moral hazard in teams.Environmental Economics and Policy,

Competition Between Auctions

Even though auctions are capturing an increasing share of commerce, they are typically treated in the theoretical economics literature as isolated. That is, an auction is typically treated as a single seller facing multiple buyers or as a single buyer facing multiple sellers. In this paper, we review the state of the art of competition between auctions. We consider three different types of competition: competition between auctions, competition between formats, and competition between auctioneers vying for auction traffic. We highlight the newest experimental, statistical and analytical methods in the analysis of competition between auctions.auctions, bidding, competition, auction formats, auction houses