In this paper we investigate the risk-related effects of monetary policy both in normal times, as well as in periods where the zero lower bound (ZLB) binds, in a stylized macroeconomic model with boundedly rational beliefs. In our model, financial market participants use heuristics to assess the...

It is common to analyze the effects of alternative monetary policy commitments under the assumption of fully model-consistent expectations. This implicitly assumes unrealistic cognitive abilities on the part of economic decision makers. The relevant question, however, is not whether the...

This paper uses a discrete-time partial equilibrium model of the European Emissions Trading System (EU ETS)to analyze the impact of the recent reform on allowance prices. By including bounded rationality such as myopia or hedging requirements, we find that the Hotelling price path is no longer...

This paper experimentally studies the role of associative memory for belief formation. Realworld information signals are often embedded in memorable contexts. Thus, today’s news, and the contexts they are embedded in, may cue the selective retrieval of similar past news and hence contribute to...

I study liquidity traps in a model where agents have heterogeneous expectations and finite planning horizons. Backward-looking agents base their expectations on past observations, while forward-looking agents have fully rational expectations. Liquidity traps that are fully or partly driven by...

We study the possibility of (almost) self-fulfilling waves of pessimism and selfreinforcing liquidity traps in a New Keynesian model with heterogeneous expectations. We explicitly focus on the "anchoring" of expectations that is modeled as the range of deviations from the central bank targets...

The notion of bounded rationality has received a considerable attention in the midst of debate over the usefulness of various macroeconomic models. In this paper we empirically seek to analyze the baseline New-Keynesian model with heterogeneous agents who may adopt various heuristics used to...