2011/12/09 by Anindya S. Chakrabarti, Chakrabarti, Anindya S.
Business, Management and Accounting · Economics, Econometrics and Finance · #Business Strategy and Innovation #Complex Systems and Time Series Analysis #Economic theories and models #FOS: Economics and business #Firm Innovation and Growth #General Finance (q-fin.GN) #q-fin.GN
paper · pdf · doi:10.48550/arxiv.1112.2168
25 pages, 7 figures
arxiv created 2011/12/09 · openalex publication_date 2011/12/09 · arxiv updated 2011/12/12 · openalex created_date 2021/02/01 · openalex updated_date 2026/07/28
We address the issue of the distribution of firm size. To this end we propose a model of firms in a closed, conserved economy populated with zero-intelligence agents who continuously move from one firm to another. We then analyze the size distribution and related statistics obtained from the model. Our ultimate goal is to reproduce the well known statistical features obtained from the panel study of the firms i.e., the power law in size (in terms of income and/or employment), the Laplace distribution in the growth rates and the slowly declining standard deviation of the growth rates conditional on the firm size. First, we show that the model generalizes the usual kinetic exchange models with binary interaction to interactions between an arbitrary number of agents. When the number of interacting agents is in the order of the system itself, it is possible to decouple the model. We provide some exact results on the distributions. Our model easily reproduces the power law. The fluctuations in the growth rate falls with increasing size following a power law (with an exponent 1 whereas the data suggests that the exponent is around 1/6). However, the distribution of the difference of the firm-size in this model has Laplace distribution whereas the real data suggests that the difference of the log sizes has the same distribution.