Showing 1 - 7 of 7
We discuss Pareto–Zipf's law and Gibrat's law found in the high-end regions of personal income, company's income, and various measures of company size. The fact that these phenomenological laws coexist in wide range of data suggests some deep mathematical relations between them. In this paper...
Persistent link: https://www.econbiz.de/10010873086
distributions can be well described by the same model. Various scaling behaviors can be understood as a result of stochastic …
Persistent link: https://www.econbiz.de/10010871925
Recent evidence suggests that a power-law relationship exists between a firm's size and the variance of its growth rate. The flatness of the relation is regarded as puzzling, in that it suggests that large firms are not much more stable than small firms. It has been suggested that the power-law...
Persistent link: https://www.econbiz.de/10010872345
show power-law scaling as well, when the number of “supply stations” is plotted over the population size. Surprisingly …, only some supply systems display a linear scaling with population size. Others show sublinear or superlinear scaling. We … suggest an interpretation regarding the kind of scaling law that is expected in dependence of the function and constraints of …
Persistent link: https://www.econbiz.de/10011058321
16 amino acid residues. The mean value of the scaling exponent was about 1.35. Beyond this range, the scaling exponent …, revealed that the spectral scaling exponent was lower in solution than in crystal form. This was expected from our model … the vibrations is dependent on the form of aggregation. Higher values of the scaling exponents were associated to the …
Persistent link: https://www.econbiz.de/10011060338
-dimensional attractor (D≈4.65) and scaling properties described by a power law P=1/fa where 0<a<≈2. The method basically introduces an … properties disappear at interaction factors generating scaling exponents lower than about a=0.25. The method proved to be useful …
Persistent link: https://www.econbiz.de/10011062486
We analyze the average size distribution of a pool of the G7 group's firms over the period 1987–2000. In particular, firm sizes are measured employing different proxies, and after conditioning on business cycle phases. We find that: (i) the empirical distributions are all consistent with a...
Persistent link: https://www.econbiz.de/10011062912