We propose an evolutionary game to analyse the dynamics of tolerance among heterogeneous economic agents. We show that: (i) intolerance is much more persistent than tolerance; (ii) a fully tolerant society assures prosperity; (iii) cultural integration should precede economic integration

In this paper we present a continuous time dynamical model of heterogeneous agents interacting in a financial market where transactions are cleared by a market maker. The market is composed of fundamentalist, trend following and contrarian agents who process information from the market with different time delays. Each class of investor is characterized by path dependent risk aversion. We also allow for the possibility of evolutionary switching between trend following and contrarian strategies. We find that the system shows periodic, quasi-periodic and chaotic dynamics as well as synchronization between technical traders. Furthermore, the model is able to generate time series of returns that exhibit statistical properties similar to those of the S&P500 index, which is characterized by excess kurtosis, volatility clustering and long memory.

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In this paper we analyze how firms’ R&D investment decisions, firms’ profits and social welfare are affected by absorptive capacity; that is, the ability of a firm to learn from other collaborating firms. The model developed is a strategic regular network where firms have the opportunity to form pair-wise collaborative links with other firms and then compete à la Cournot. Different to the existing literature, we find that firms’ R&D efforts could increase or decrease with the degree of the network, depending on the level of absorptive capacity, the market size and the network dimension. In particular, in the case of small market size and low learning effect, the connection between firms drives up research investments. Moreover, if absorptive capacity is sufficiently low, the research collaboration between firms turns out not to be desirable from a private point of view while, in line with the existing literature, social efficiency requires a complete or intermediate level of collaborative activity. We also show that the complete network is pair-wise stable and socially optimal for an intermediate level of spillover intensity, while the empty network maximizes firms’ profits when absorptive capacity is small, yet it is not pair-wise stable.