We study the design of optimal monetary policy under uncertainty in a dynamic stochastic general equilibrium models. We use a Markov jump-linear-quadratic (MJLQ) approach to study policy design, approximating the uncertainty by different discrete modes in a Markov chain, and by taking...

In an earlier paper (Blinder and Morgan, 2005), we created an experimental apparatus in which Princeton University students acted as ersatz central bankers, making monetary policy decisions both as individuals and in groups. In this study, we manipulate the size and leadership structure of...