This paper discusses how the results of simulation models can be made more reliable and the method of simulating therefore more widely applicable. We suggested to calibrate simulation models empirically and developed a methodology based on Critical Realism in order to so. We suggested combining...

This paper introduces a categorization of simulation models. It provides an explicit overview of the steps that lead to a simulation model. We highlight the advantages and disadvantages of various simulation approaches by examining how they advocate different ways of constructing simulation...

In an evolutionary approach to macroeconomics, the market disequilibrium dynamics resulting from structural change need to be properly represented at the aggregate level. As suggested by the late F.A.Hayek, a suitable equilibrium concept required to this end as a frame of reference, is that of a...

This paper analyzes how the qualitative change in human labor occurs in mutual dependence with the advancement of the epistemic base of technology. Historically, a recurrent pattern can be identified: humans learned to successively transfer labor qualities to machines. The subsequent release of...

Local industrial clusters have attracted much attention in the recent economic and geographical literature. A huge number of case studies have been conducted. This paper presents a meta-analysis of the case studies of 159 local industrial clusters in various countries and industries. Based on an...

A growing body of work emphasizes the role that the spatial component plays in the innovation process. These perspectives brought the region's infrastructure and its endowment with crucial factors into the focus of research. Given that these factors do significantly influence the innovativeness...

This paper presents an overview on the existing learning models in the economic literature. Furthermore, it discusses which of these models should be used under what circumstances and how adequate learning models can be chosen in simulation approaches. It gives advice for getting along with the...

Simulations have become a common tool to study the implications of theoretical models. In addition, computational approaches are frequently used in statistics to adapt models to reality. We aim to merge these approaches. To obtain robust results with significant validity from simulations,...