In contrast, other researchers, such as Lars Hansen and Thomas Sargent, have developed robust-control methods – adapted from the engineering literature – that are aimed at minimizing the consequences of worst-case scenarios, including those with only a low probability of being realized (Hansen and Sargent, 2007). An important practical implication of all this recent literature is that Brainard's attenuation principle may not always hold.
For example, when the degree of structural inertia in the inflation process is uncertain, the optimal Bayesian policy tends to involve a more pronounced response to shocks than would be the case in the absence of uncertainty (Söderstrom, 2002).