About this Event
Abstract:
This paper develops a novel machine learning based approach to study time consistent optimal taxation in a heterogeneous agent model with aggregate uncertainty. The findings reveal that optimal fiscal policy differs significantly between heterogeneous and representative agent models, with the government's taxation decisions being influenced by the asset distribution and inequality dynamics. The results highlight the importance of considering household heterogeneity when designing fiscal policies, as optimal tax rates respond to changes in the asset distribution and aggregate shocks.
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6708 Pine St room 117, 6708 Pine Street, Omaha, United States
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