Qiao, L., Sun, Y., & Zhang, Z. (2016). Conditional Exact Law of Large Numbers and Asymmetric Information Economies with Aggregate Uncertainty. Economic Theory, 62, 43-64.
https://doi.org/10.1007/s00199-014-0855-6

has been cited by the following article:

• TITLE: A Note on Laws of Motion for Aggregate Distributions

  AUTHORS: Damir Stijepic

  KEYWORDS: Aggregate Distribution, Law of Motion, Kolmogorov Forward Equation, Fok-ker-Planck Equation, Wealth Distribution

  JOURNAL NAME: Theoretical Economics Letters, Vol.10 No.6, December 25, 2020

  ABSTRACT: I derive the law of motion for the aggregate distribution directly from the laws of motion for the individuals’ states. By relying on concepts from measure theory, the derivation is concise and intuitive. I address random shocks both at the micro level and at the macro level. Micro-level shocks completely cancel at the aggregate level provided that a law of large numbers applies. Therefore, the law of motion for the aggregate distribution is a deterministic process in the absence of macro-level uncertainty. If there are macro-level risks, the law of motion for the aggregate distribution exhibits a stochastic component additionally. I illustrate the formalism in a model of wealth accumulation with stochastic interest rates, deriving the law of motion for the aggregate wealth distribution.