  This work analyzes data on all public US firms in the 50 year period
1970-2019, and presents 18 stylized facts of their scale, income, growth,
return, investment, and dynamism. Special attention is given to (i) identifying
distributional forms; and (ii) scale effects -- systematic difference between
firms based on their scale of operations. Notable findings are that the
Difference-of-Log-Normals (DLN) distribution has a central role in describing
firm data, scale-dependent heteroskedasticity is rampant, and small firms are
systematically different from large firms.
