This study uses a multiagent system to investigate English auctions with two-dimensional value signals and agents that learn a signal-averaging factor. I find that signal averaging increases nonlinearly as the common value percent increases, decreases with the number of bidders, and decreases at...

This study uses a multiagent system to determine which payment rule provides the most revenue in Treasury auctions that are based on Canadian rules. The model encompasses the when-issued, auction, and secondary markets, as well as constraints for primary dealers. I find that the Spanish payment...

I have developed a multiagent system platform that provides a valuable complement to the alternative auction research methods. The platform facilitates the development of heterogeneous agents and provides an experimental environment that is under the experimenter's complete control. Simulations...

Consider a two-person economy in which allocative efficiency is independent of distribution but the cardinal properties of the agents' utility functions precludes transferable utility (a property I call “Almost TU”). I show that Almost TU is a necessary and sufficient condition for both...

We consider an n-person economy in which efficiency is independent of distribution but the cardinal properties of the agents’ utility functions preclude transferable utility (a property we call “Almost TU”). We show that Almost TU is a necessary and sufficient condition for all agents to...

This study uses a multiagent system to investigate how sealed-bid auction results vary across twodimensional value signals from pure private to pure common value. I find that several auction outcomes are significantly nonlinear across the two-dimensional value signals. As the common value...

Consider a two-person economy in which allocative efficiency is independent of distribution but cardinality of the agents' utility functions precludes transferable utility. I show that both agents either benefit or lose with any change of production possibilities under the Nash Bargaining and...

Using historical time-series data, we test for convergence and common trends in real per capita output for New Zealand and her four major trading partners. Both bivariate and multivariate time-series methods are used, and we also implement the fuzzy c-means clustering algorithm as an alternative...

In this paper we consider the use of fuzzy modelling in the context of econometric analysis of both time-series and cross-section data. We discuss and demonstrate a semi-parametric methodology for model identification and estimation that is based on the Fuzzy c-Means algorithm that is widely...

The availability of data for the size of the "Underground Economy" is important for macroeconomic policy. We use fuzzy set theory and fuzzy logic to construct an annual time-series for the (unobservable) New Zealand underground economy over the period 1968 to 1994. Two input variables are used -...