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...

When advising policy we face the fundamental problem that economic processes are uncertain. Consequently, policy can err. In this paper we show how the use of simulation models can reduce policy errors by inferring empirically reliable and meaningful statements about economic processes. We...

Introduction to special section

This paper studies the frequency of observing a certain number of firms or employees in a region for a given industry. Various predictions for these frequencies are deduced from theoretical considerations. Then, the empirical distributions of 198 industries in Germany are analysed. It is found...

A stochastic model of the evolution of the firm population in a region and industry is developed. This model is used to make predictions about the expected probability distribution of the firm number in regions and their dynamics. Data on the spatial distribution of firms in Germany is used to...