This paper introduces a reinforcement learning based approach to compute optimal interest rate reaction functions in terms of fulfilling inflation and output gap targets. The method is generally flexible enough to incorporate restrictions like the zero lower bound, nonlinear economy structures...

We identify monetary policy shocks by exploiting variation in the central bank's information set. To be specific, we use differences between nowcasts of the output gap and inflation with final, revised estimates of these series to isolate movements in the policy rate unrelated to economic...

We evaluate and compare alternative monetary policy rules, namely average inflation targeting, price level targeting, and traditional inflation targeting rules, in a standard New Keynesian model that features recurring, transient zero lower bound regimes. We use determinacy and expectational...

We estimate several monetary policy rules for Russia for the period 2003–2015. We find that the traditional Taylor rule describes the conduct of monetary policy in Russia reasonably well, whether coefficients are restricted to being the same or allowed to change over the sample period. We find...

Starting from the assumption that firms are more likely to adjust their prices when doing so is more valuable, this paper analyzes monetary policy shocks in a DSGE model with firm-level heterogeneity. The model is calibrated to retail price microdata, and inflation responses are decomposed into...

We apply non-linear error-correction models to the empirical testing of the sustainability of the government’s intertemporal budget constraint. Our empirical analysis, based on Italy, shows that the Italian government is meeting its intertemporal budget constraint, in spite of the high levels...