تقرير
Measures of the Capital Network of the U.S. Economy
| العنوان: | Measures of the Capital Network of the U.S. Economy |
|---|---|
| المؤلفون: | Klemens, Ben |
| سنة النشر: | 2024 |
| المجموعة: | Quantitative Finance |
| مصطلحات موضوعية: | Economics - General Economics, 91c99, J.4.1 |
| الوصف: | About two million U.S. corporations and partnerships are linked to each other and human investors by about 15 million owner-subsidiary links. Comparable social networks such as corporate board memberships and socially-built systems such as the network of Internet links are "small worlds," meaning a network with a small diameter and link densities with a power-law distribution, but these properties had not yet been measured for the business entity network. This article shows that both inbound links and outbound links display a power-law distribution with a coefficient of concentration estimable to within a generally narrow confidence interval, overall, for subnetworks including only business entities, only for the great connected component of the network, and in subnetworks with edges associated with certain industries, for all years 2009-2021. In contrast to other networks with power-law distributed link densities, the network is mostly a tree, and has a diameter an order of magnitude larger than a small-world network with the same link distribution. The regularity of the power-law distribution indicates that its coefficient can be used as a new, well-defined macroeconomic metric for the concentration of capital flows in an economy. Economists might use it as a new measure of market concentration which is more comprehensive than measures based only on the few biggest firms. Comparing capital link concentrations across countries would facilitate modeling the relationship between business network characteristics and other macroeconomic indicators. Comment: 18 pages. JEL classifications: L14; C81; M42; G34 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2401.12118 |
| رقم الأكسشن: | edsarx.2401.12118 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |