Environmental Policy Under Model Uncertainty: A Robust Optimal Control Approach

Model uncertainty is inherent in the design of optimal environmental policy. We investigate the consequences in a simple linear model, where the aim of the policymaker is to stabilize the carbon content of the atmosphere. We study how decision-makers' concerns about robustness alter policy using the Hansen and Sargent (2000, 2003, 2007) approach. The analysis shows that a policymaker, who fears model misspecification should react more aggressively to changes in the stock of atmospheric carbon and implement policies which deliver a greater reduction of emissions.