The paper investigates capital market efficiency on basis of an evolutionary model of asset pricing. Participants of capital markets are considered as organizations in the sense of Nelson and Winter (1982). Behavior of these organizations is described by routines. Routines are regular and...

This paper examines the `learning economy' from the perspective of occupational characteristics and changes in the British labour market between 1980 and 1992. Following a discussion of the learning and knowledge economy, cross-sectional employment data are analysed to ascertain which...

It is argued that the firm is the principal source of innovation and growth, a device for the establishment of technological competence, and for its continued development over time. Markets, products and background knowledge may change quite dramatically over time. Yet as a result of the...

This paper offers an econometric methodology for the detection of self-organisational change (defined in terms of the presence of time irreversibility, structural change and fundamental uncertainty) in economic processes that follow logistic diffusion growth paths in historical time. The...

This article tries to connect two separate strands of literature concerning genetic algorithms. On the one hand, extensive research took place in mathematics and closely related sciences in order to find out more about the properties of genetic algorithms as stochastic processes. On the other...

Early models of Schumpeterian growth incorporate scale effects predicting that large economies grow faster than small economies, and that population growth causes accelerating per capita income growth. An absence of clear empirical evidence for these scale effects has led some researchers to...

We study a class of forward looking economic models with heterogeneous agents in a bounded rationality setting. The agents employ the same recursive learning rule to update beliefs but are characterized by different memory parameters. The peculiarity of the learning mechanism is that the...

The paper is concerned with genetic algorithm learning in a cobweb economy. Besides discussing several specification details in the genetic operators, the model includes four different types of firm forecasting rules and subjects the demand side to serially correlated random shocks. The main...

This paper sheds light on the questions, Why does knowledge spill over? and How does knowledge spill over? The answer to these questions we suggest lies in the incentives confronting scientists to appropriate the expected value of their knowledge considered in the context of their path-dependent...

The Theory of Learning in Games by Fudenberg and Levine surveys a key branch of evolutionary economics from a mainstream perspective. Its publication provides an opportunity to reassess the prospects and goals for evolutionary economics.