We develop a model to study optimal decision making in the face of uncertainty about the timing and structure of a future event. The model is used to study optimal decision making and welfare when individuals face uncertainty about when and how Social Security will be reformed. When individuals...

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...