Waves and Cycles: Explorations in the Pure Theory of Price for Fine Art

This paper models price movements in the market for fine art. Consumers of art are assumed to value art for its own sake, but are also subject to externalities in consumption whereby the utility of consuming the work of a painter is affected by the consumption choices of other consumers of art. Painters are arranged in space, and positive externalities arise when the painter consumed is coming into fashion; negative externalities arise when the painter is going out of fashion. Because supply is fixed, popularity can be measured by price, so externality effects can be expressed through prices. Motion to the prices arises through the presence of some consumers who are fashion leaders, driving up the prices of coming artists. Rising prices indicate rising popularity, and the market moves towards these painters, shunning those who were previously popular. The paper makes reference to a companion paper by Peter Swann which is an empirical exploration of the same phenomenon. His paper suggests that painters can effectively be placed in a circular space, which makes the spatial assumptions of the analysis in the current paper reasonable. Results on trends in prices, and steady state prices under certain conditions are derived. The model is simulated numerically to illustrate some of the dynamics that arise.economics of technology ;

Network models of innovation and knowledge diffusion

Much of modern micro-economics is built from the starting point of the perfectly competitive market. In this model there are an infinite number of agents — buyers and sellers, none of whom has the power to influence the price by his actions. The good is well-defined, indeed it is perfectly standardized. And any interactions agents have is mediated by the market. That is, all transactions are anonymous, in the sense that the identities of buyer and seller are unimportant. Effectively, the seller sells “to the market” and the buyer buys “from the market”. This follows from the standardization of the good, and the fact that the market imposes a very strong discipline on prices. Implicit here is one (or both) of two assumptions. Either all agents are identical in every relevant respect, apart, possibly, from the prices they ask or offer; or every agent knows every relevant detail about every other agent. If the former, then obviously my only concern as a buyer is the prices asked by the population of sellers since in every other way they are identical. If the latter, then each seller has a unique good, and again what I am concerned with is the price of it. In either case, we see that prices capture all relevant information and are enough for every agent to make all the decisions he needs to make....economics of technology ;

Running The Marathon

Over the twentieth century universities in the industrialized world have evolved from being "universities of culture" to "universities of innovation." Policy makers and universities themselves see that one of their major roles is supporting industrial innovation and thus economic growth. We argue that this rests on a mis-cconception of the nature of innovation and the value of universities. We argue that a more appropriate function for this institution is as the "university of reflection" where scholarship and truth-seeking are the ultimate goals.innovation, university-industry relations, role of universities

Intellectual property rights in a knowledge-based economy

Intellectual property rights (IPR) have been created as economic mechanisms to facilitate ongoing innovation by granting inventors a temporary monopoly in return for disclosure of technical know-how. Since the beginning of 1980s, IPR have come under scrutiny as new technological paradigms appeared with the emergence of knowledge-based industries. Knowledge-based products are intangible, non-excludable and non-rivalrous goods. Consequently, it is difficult for their creators to control their dissemination and use. In particular, many information goods are based on network externalities and on the creation of market standards. At the same time, information technologies are generic in the sense of being useful in many places in the economy. Hence, policy makers often define current IPR regimes in the context of new technologies as both over- and under-protective. They are over-protective in the sense that they prevent the dissemination of information which has a very high social value; they are under-protective in the sense that they do not provide strong control over the appropriation of rents from their invention and thus may not provide strong incentives to innovate. During the 1980s, attempts to assess the role of IPR in the process of technological learning have found that even though firms in high-tech sectors do use patents as part of their strategy for intellectual property protection, the reliance of these sectors on patents as an information source for innovation is lower than in traditional industries. Intellectual property rights are based mainly on patents for technical inventions and on copyrights for artistic works. Patents are granted only if inventions display minimal levels of utility, novelty and non-obviousness of technical know-how. By contrast, copyrights protect only final works and their derivatives, but guarantee protection for longer periods, according to the Berne Convention. Licensing is a legal aid that allows the use of patented technology by other firms, in return for royalty fees paid to the inventor. Licensing can be contracted on an exclusive or non-exclusive basis, but in most countries patented knowledge can be exclusively held by its inventors, as legal provisions for compulsory licensing of technologies do not exist. The fair use doctrine aims to prevent formation of perfect monopolies over technological fields and copyrighted artefacts as a result of IPR application. Hence, the use of patented and copyrighted works is permissible in academic research, education and the development of technologies that are complimentary to core technologies. Trade secrecy is meant to prevent inadvertent technology transfer to rival firms and is based on contracts between companies and employees. However, as trade secrets prohibit transfer of knowledge within industries, regulators have attempted to foster disclosure of technical know-how by institutional means of patents, copyrights and sui-generis laws. And indeed, following the provisions formed by IPR regulation, firms have shifted from methods of trade secrecy towards patenting strategies to achieve improved protection of intellectual property, as well as means to acquire competitive advantages in the market by monopolization of technological advances.economics of technology ;

Information Technology and the Dynamics of Joint Innovation

We develop a model of an innovative industry to examine how information technology, by both enhancing matching efficiency and knowledge sharing, can have an ambiguous effect on the total amount of innovation. We consider a population of firms holding different knowledge expertise, and forming partnerships to conduct joint R&D. We assume that bringing together different expertise has positive value for innovating but also that joint innovation implies a partial convergence of the partners'' expertise. We study how the distribution of firms changes and thus how the innovative potential of the economy evolves. We show that as heterogeneity is used as an input by the innovative process, the industry must eventually collapse to a unique expertise, but how fast this takes place depends on the quality of IT. As a result of falling dispersion, a tension arises between static and dynamic efficiency. JEL Classification Numbers: C78,O33,O38.mathematical economics and econometrics ;

Habit Formation, Information Exchange and the Social Geography of Demand

This paper is concerned with clustering in demand. We present a discrete choice model of consumption that incorporates habit formation and information exchange among consumers in fixed social networks. We provide an analytical solution to a special case of the model by using technical tools from chemistry and biology. We demonstrate the validity of these results for the general case numerically. It is shown that clustering in demand is a solution to the complex system we are analyzing, and that clustering pattern can be short-term or long-lasting depending on the characteristics of the society.demand, clustering, information, partial differential equations

Inertia, Interaction and Clustering in Demand

We present a discrete choice model of consumption that incorporates two empirically validated aspects of consumer behaviour: inertia in consumption and interaction among consumers. We specify the interaction structure as a regular lattice with consumers interacting only with immediate neighbours. We investigate the equilibrium behaviour of the resulting system and show analytically that for a large range of initial conditions clustering in economic behaviour emerges and persists indefinitely. Short-run behaviour of the model is investigated numerically. This exercise indicates that equilibrium properties of the system can predict a short-run behaviour of the model quite accurately.Clustering, Interaction, Habits, Consumer choice

If the Alliance Fits . . . : Innovation and Network Dynamics.

Network formation is often said to be driven by social capital considerations. A typical pattern observed in the empirical data on strategic alliances is that of small world networks: dense subgroups of firms interconnected by (few) clique-spanning ties. The typical argument is that there is social capital value both to being embedded in a dense cluster, and to bridging disconnected clusters. In this paper we develop and analyze a simple model of joint innovation where we are able to reproduce these features, based solely on the assumption that successful partnering demands some intermediate amount of similarity between the partners.

Word-of-mouth interaction and the organization of behaviour

We present a discrete choice model based on agent interaction. The framework combines the features of two well-known models of word-of-mouthcommunication (Ellison and Fudenberg, 1995 and Bala and Goyal, 2001).Interaction structure is a regular periodic lattice with decision-makers interacting only with immediate neighbours. We investigate the long-runequilibrium) behaviour of the resulting system and show that for a largerange of initial conditions clustering in economic behaviour emerges andpersists inde?nitely. The setup allows for the analysis of multi-option environments. For these environments we derive the distribution of optionpopularity in equilibrium.word-of-mouth, inertia, clustering, choice.