Central banks often face tradeoffs in how their monetary policy decisions impact economic activity (including employment), inflation and the price level. This paper assesses how these tradeoffs have evolved over time and varied across countries, with a focus on understanding the post-pandemic...

Inflation targeting is a monetary-policy strategy characterized by an announced numerical inflation target, an implementation of monetary policy that gives a major role to an inflation forecast that has been called forecast targeting, and a high degree of transparency and accountability. It was...

Using US data, we estimate optimal policy with a probability below one that the Fed reneges on its commitment ("limited credibility") versus discretionary policy where the Fed reneges on its commitment at all periods with a probability equal to one ("zero credibility"). The transmission...

This paper compares different implementations of monetary policy in a new-Keynesian setting. We can show that a shift from Ramsey optimal policy under short-term commitment (based on a negative feedback mechanism) to a Taylor rule (based on a positive feedback mechanism) corresponds to a Hopf...

Die Staatsanleihekäufe der EZB sind zu einem Fall für das Bundesverfassungsgericht geworden. Die Autoren des IW Köln argumentieren, dass das Outright-Monetary-Transactions-Programm noch innerhalb der Grenzen des EZB-Mandats liegt, aber wegen seiner Nachteile nur temporär eingesetzt werden...

Im September 2012 hatte EZB-Präsident Draghi angekündigt, dass die Europäische Zentralbank – wenn es notwendig ist – unbegrenzt Staatsanleihen von Krisenstaaten aufkauft, um die Refinanzierung ihrer Staatsschulden zu ermöglichen und ihre Zinsbelastung zu senken. Nach Auffassung des...

This article summarizes empirical research on the interaction between monetary policy and asset markets, and reviews our previous theoretical work that captures these interactions. We present a concise model in which monetary policy impacts the aggregate asset price, which in turn influences...

We develop a novel method for the identification of monetary policy shocks. By applying natural language processing techniques to documents that Federal Reserve staff prepare in advance of policy decisions, we capture the Fed's information set. Using machine learning techniques, we then predict...