The Macroeconomics of Radical Uncertainty

Abstract

Macroeconomics must take radical uncertainty into account, if it aims at contributing to the solution of serious real-world problems such as climate change. Allowing for radical uncertainty must happen at two levels: the level of modeling and the level of the scientifi c discipline. I argue that the complexity approach which sees the economy as a complex adaptive system is better suited to deal with radical uncertainty than the mainstream DSGE approach. I review a number of agent-based models that are promising starting points to incorporate radical uncertainty into macroeconomics. Discussing the examples of the fi nancial crisis and climate change, I establish why methodological monism is dangerous and why macroeconomics needs more pluralism and openness towards other scientifi c approaches. Radical uncertainty and the complexity approach have important implications for macroeconomic policy and the advice that economists can give to policy makers. Under radical uncertainty it does not make sense to look for optimal policies.