We apply the idea of evolution to a spatial model. Prisoners’ dilemmas or coordination games are played repeatedly within neighbourhoods where players do not optimise but instead copy successful strategies. Discriminative behaviour of players is introduced representing strategies as small automata, which can be in different states against different neighbours. Extensive simulations show that co...

In this paper we argue that in realistically calibrated two period general equilibrium models with incomplete markets CAPM-pricing provides a good benchmark for equilibrium prices even when agents are not mean-variance optimizers and returns are not normally distributed. We numerically approximate equilibria for a variety of di erent speci cations for preferences, endowments and dividends and c...

Cancers of male genital organs (C60-C63) and in particular, prostate cancer, represent one of the most frequent cancer groups among males in economically developed countries and growing cancer group in developing countries. The Institute of Public Health of the Osijek-Baranja County in collaborate with different county institutes provide updated information on the cancer occurrence and trends i...

This paper presents a toolkit for generating optimal policy projections. It makes five contributions. First, the requires minimal set of inputs: only baseline projection target and instrument variables impulse responses those to shocks. Second, it solves projections under commitment, limited-time discretion. Third, handles multiple instruments. Fourth, constraints on instruments such as lower b...

In this paper we examine a representative agent forecasting prices in a first-order self-referential overlapping generations model. We first consider intermediate stage learning, where agents update the forecasting rule every m periods. We show that, in theory and simulations, the learning rule does not converge to the rational expectations equilibrium (REE). We next consider two stage learning...

Most quantitative studies of international real business cycle (IRBC) models require the use of approximate solution methods. We solve an IRBC model with incomplete asset markets using King, Plosser and Rebelo’s (1988) linear approximation method. We quantify the additional approximation error brought about by the existence of a unit root in the linear dynamic system and demonstrate that the sy...

We present a decomposition approach for integrated assessment modeling of climate policy based on a linear approximation of the climate system. Our objective is to demonstrate the usefulness of decomposition for integrated assessment models posed in a complementarity format. First, the complementarity formulation cum decomposition permits a precise representation of post-terminal damages thereb...

The Santa Fe Institute’s economics program has nurtured some of the discipline’s most highly innovative forml theorizing and interdisciplinary brainstorming since its inception in the late 1980s. This proceedings volume provides the occasion for a review of ten-year’s progress by researchers associated with the Institute. The initial programmatic proposals of the first volume have indeed ben fl...

This paper provides a framework for discussing the empirical validation of computer simulation models of market phenomena. It considers first a simulation model of a market of competing coffee brands to ask some questions about the purposes and practices of simulation modeling. It defines functional complexity and derives measures of this for Schelling’s Segregation model. It refers to the Ener...