Game theory

game theory

Urban Amenities or Agglomeration Economies? Locational Behaviour and Entrepreneurial Success of Dutch Fashion Designers

Urban economic growth and industrial clustering is traditionally explained by Marshallian agglomeration economies benefiting co-located firms. The focus on firms rather than people has been challenged by Florida arguing that urban amenities and a tolerant climate attract creative people, and the firms they work for, to certain cities. We analyse to what extent these two mechanisms affect the locational behaviour of Dutch fashion designers. On the basis of a questionnaire, we find that urban amenities are considered more important than agglomeration economies in entrepreneurs’ location decision. Designers located in the Amsterdam cluster do not profit from agglomeration economies as such, but rather from superior networking opportunities with peers both within and outside the cluster.Agglomeration economies, urban amenities, creative class, fashion design, cultural industries, social networks, cluster

The Theory of Implementation of Social Choice Rules

Suppose that the goals of a society can be summarized in a social choice rule, i.e., a mapping from relevant underlying parameters to final outcomes. Typically, the underlying parameters (e.g., individual preferences) are private information to the agents in society. The implementation problem is then formulated: under what circumstances can one design a mechanism so that the private information is truthfully elicited and the social optimum ends up being implemented? In designing such a mechanism, appropriate incentives will have to be given to the agents so that they do not wish to misrepresent their information. The theory of implementation or mechanism design formalizes this “social engineering” problem and provides answers to the question just posed. I survey the theory of implementation in this article, emphasizing the results based on two behavioral assumptions for the agents (dominant strategies and Nash equilibrium). Examples discussed include voting, and the allocation of private and public goods under complete and incomplete information.Implementation Theory, Mechanism Design, Asymmetric Information, Decentralization, Game Theory, Dominance, Nash Equilibrium, Monotonicity

Hysteresis and economics - taking the economic past into account

The goal of this article is to discuss the rationale underlying the application of hysteresis to economic models. In particular, we explain why many aspects of real economic systems are hysteretic is plausible. The aim is to be explicit about the difficulties encountered when trying to incorporate hysteretic effects into models that can be validated and then used as possible tools for macroeconomic control. The growing appreciation of the ways that memory effects influence the functioning of economic systems is a significant advance in economic thought and, by removing distortions that result from oversimplifying specifications of input-output relations in economics, has the potential to narrow the gap between economic modeling and economic reality

Spatial organization of production in India: contesting themes and conflicting evidence

The emergence of space as a determinant in the functional relations linked to production and growth is a recent development in theories of industrial organization. This paper primarily reviews the contesting themes in explaining changes in relative importance of space. In reference to industrial clusters in India, the paper argues that it is the heterogeneity of the industrial organizations that captures ‘space’ as an analytical category and broad generalizations often do not address the spatial dimensions. Neither also is it true, at least for developing countries such as India, that small enterprise clusters always reflect the post-Fordist dimension of change in the production organization. In the context of global production chain, this paper further argues that participation in such value chains might lead to contradictory outcomes in production organization giving rise to increased rift between the ‘global’ and the ‘local’.endogenous growth, region, technology, fragmentation, footloose industry

Agent-Based Models and Human Subject Experiments

This paper considers the relationship between agent-based modeling and economic decision-making experiments with human subjects. Both approaches exploit controlled ``laboratory'' conditions as a means of isolating the sources of aggregate phenomena. Research findings from laboratory studies of human subject behavior have inspired studies using artificial agents in ``computational laboratories'' and vice versa. In certain cases, both methods have been used to examine the same phenomenon. The focus of this paper is on the empirical validity of agent-based modeling approaches in terms of explaining data from human subject experiments. We also point out synergies between the two methodologies that have been exploited as well as promising new possibilities.agent-based models, human subject experiments, zero- intelligence agents, learning, evolutionary algorithms

The ECB's New Multi-Country Model for the Euro area: NMCM - with Boundedly Rational Learning Expectations*

Rational expectations has been the dominant way to model expectations, but the literature has quickly moved to a more realistic assumption of boundedly rational learning where agents are assumed to use only a limited set of information to form their expectations. A standard assumption is that agents form expectations by using the correctly specified reduced form model of the economy, the minimal state variable solution (MSV), but they do not know the parameters. However, with medium-sized and large models the closed-form MSV solutions are difficult to attain given the large number of variables that could be included. Therefore, agents base expectations on a misspecified MSV solution. In contrast, we assume agents know the deep parameters of their own optimizing frameworks. However, they are not assumed to know the structure nor the parameterization of the rest of the economy, nor do they know the stochastic processes generating shocks hitting the economy. In addition, agents are assumed to know that the changes (or the growth rates) of fundament variables can be modeled as stationary ARMA(p,q) processes, the exact form of which is not, however, known by agents. This approach avoids the complexities of dealing with a potential vast multitude of alternative mis-specified MSVs. Using a new Multi-country Euro area Model with Boundedly Estimated Rationality we show this approach is compatible with the same limited information assumption that was used in deriving and estimating the behavioral equations of different optimizing agents. We find that there are strong differences in the adjustment path to the shocks to the economy when agent form expectations using our learning approach compared to expectations formed under the assumption of strong rationality. Furthermore, we find that some variation in expansionary fiscal policy in periods of downturns compared to boom periods.