I analyze the salient features of networks and point out the similarities between the economic structure of networks and the structure of vertically related industries. The analysis focuses on positive consumption and production externalities, commonly called network externalities. I discuss their sources and their effects on pricing and market structure. I distinguish between results that do not depend on the underlying industry microstructure (the 'macro' approach) and those that do (the 'micro' approach). I analyze the issues of compatibility, coordination to technical standards, interconnection and interoperability, and their effects on pricing and quality of services and on the value of network links in various ownership structures. I also briefly discuss the issue of interconnection fees for bottleneck facilities.

In a multi-agent environment, where self-motivated agents try to pursue their own goals, cooperation cannot be taken for granted. Cooperation must be planned for and achieved through communication and negotiation. We present a logical model of the mental states of the agents based on a representation of their beliefs, desires, intentions, and goals. We present argumentation as an iterative process emerging from exchanges among agents to persuade each other and bring about a change in intentions. We look at argumentation as a mechanism for achieving cooperation and agreements. Using categories identified from human multi-agent negotiation, we demonstrate how the logic can be used to specify argument formulation and evaluation. We also illustrate how the developed logic can be used to describe different types of agents. Furthermore, we present a general Automated Negotiation Agent which we implemented, based on the logical model. Using this system, a user can analyze and explore differe...

This paper assesses different organizational forms in terms of their ability to generate information about investment projects and allocate capital to these projects efficiently. A decentralized approach–with small, single-manager firms–is most likely to be attractive when information about individual projects is “soft ” and cannot be credibly transmitted. Moreover, holding fixed firm size, soft information also favors flatter organizations with fewer layers of management. In contrast, large hierarchical firms with multiple layers of management are at a comparative advantage when information can be costlessly “hardened ” and passed along within the hierarchy. As a concrete application of the theory, the paper discusses the consequences of consolidation in the banking industry. It has been documented that when large banks acquire small banks, there is a pronounced decline in lending to small businesses. To the extent that smallbusiness lending relies heavily on soft information, this is exactly what the theory would lead one to expect.

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Shopbots are agents that automatically search the Internet to obtain information about prices and other attributes of goods and services. They herald a future in which autonomous agents profoundly influence electronic markets. In this study, a simple economic model is proposed and analyzed, which is intended to quantify some of the likely impacts of a proliferation of shopbots and other economically-motivated software agents. In addition, this paper reports on simulations of pricebots - adaptive, pricesetting agents which firms may well implement to combat, or even take advantage of, the growing community of shopbots. This study forms part of a larger research program that aims to provide insights into the impact of agent technology on the nascent information economy.

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We envision a future in which the global economy and the Internet will merge and evolve together into an information economy bustling with billions of economically motivated software agents that exchange information goods and services with humans and other agents. Economic software agents will differ in important ways from their human counterparts, and these differences may have significant beneficial or harmful effects upon the global economy. It is therefore important to consider the economic incentives and behaviors of economic software agents, and to use every available means to anticipate their collective interactions. We survey research conducted by the Information Economies group at IBM Research aimed at understanding collective interactions among agents that dynamically price information goods or services. In particular, we study the potential impact of widespread shopbot usage on prices, the price dynamics that may ensue from various mixtures of automated pricing ...

DAE Working Paper WP 0211 A quantitative analysis of pricing behaviour in California’s wholesale electricity market during summer 2000: the final word

How will banks evolve as competition increases from other banks and from the capital market? Will banks become more like capital market underwriters and offer passive transaction loans or return to their roots as relationship lending experts? These are the questions we address. Our key result is that as interbank competition increases, banks make more relationship loans, but each has lower added value for borrowers. Capital market competition reduces relationship lending ~and bank lending shrinks!, but each relationship loan has greater added value for borrowers. In both cases, welfare increases for some borrowers but not necessarily for all. RAPID CHANGES IN FINANCIAL SERVICES ARE threatening commercial banks. In the United States, mutual funds such as Fidelity and Merrill Lynch compete for banks ’ core deposits. Investment banks, armed with a variety of financial market innovations, challenge banks ’ traditional lending products. Banks also find themselves in greater competition with one another as globalization

Nominally free, unrestricted training in portable computer skills is offered by the majority of U.S. temporary help supply (THS) establishments, a practice that is inconsistent with the competitive model of training. This paper asks why temporary help firms provide free general skills training. The answer proposed is that in addition to skills formation, training plays an informational role at THS firms by eliciting private information about worker ability. The model is built on the premise that training is more productive and therefore valuable to high ability workers. Firms offer a package of training and initially lower wages that induces self-selection. Workers of high perceived ability choose training in anticipation of a steeper wage profile while low ability workers are deterred by limited expected gains. Firms profit from their sunk training investment via their short-run informational advantage about ability and thereby limited monopsony power. Market competition among THS firms reduces employer rents, yielding higher wages and more training. Detailed tests of the model using representative establishment data on wages and training find strong support. The analysis demonstrates that beyond providing spot market labor, THS firms gather and sell information about worker quality to clients. The rapid growth of THS as a labor market information broker implies that the demand for worker screening is rising. (JEL D82, J31)