Money and monetary policy in dynamic stochastic general equilibrium models

We compare two methods of motivating money in New Keynesian dynamic stochastic general equilibrium models-money-in-the-utility function and the cash-in-advance (CIA) constraint-as well as two ways of modelling monetary policy: the interest rate feedback rule and money growth rules. As an aid to model selection, we use a new econometric measure of the distance between model and data variance-covariance matrices. The proposed measure is useful in distinguishing between alternative general equilibrium models. Drawing on our econometric analysis, we argue that the CIA model, closed by a money growth rule, comes closest to the data.