In the Bouchaud-Mézard model with diffusing diffusivity, agents in high-diffusivity states dominate the wealth tail, yielding a Pareto exponent that interpolates between slow- and fast-refresh limits for a two-state diffusivity.
Ichinomiya, Power-law exponent of the bouchaud- mézard model on regular random networks, Physical Re- view E—Statistical, Nonlinear, and Soft Matter Physics 88, 012819 (2013)
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Diffusing diffusivity selects Pareto tail exponent in random growth with redistribution
In the Bouchaud-Mézard model with diffusing diffusivity, agents in high-diffusivity states dominate the wealth tail, yielding a Pareto exponent that interpolates between slow- and fast-refresh limits for a two-state diffusivity.