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 show that if business cycles are driven by financial shocks, the interplay between the effective lower bound (ELB) and the costs of external financing can generate an additional supply-side channel, which causes a disconnect between inflation and output. In normal times, factor costs dominate...

This paper analyses the forecasting performance of monetary policy reaction functions using U.S. Federal Reserve's Greenbook real-time data. The results indicate that artificial neural networks are able to predict the nominal interest rate better than linear and nonlinearTaylor rule models as...

This paper proposes a tractable financial accelerator New Keynesian DSGE modelthat allows for closed-form solutions. In the presence of financial frictions, theNew Keynesian Phillips curve features a flat slope with respect to the output gapand is strongly forward-looking. All shocks cause...