We study the welfare performance of various simple monetary policy rules under bounded rationality (BR) along the lines of Gabaix (2020) in a New Keynesian model with sticky wages and an effective lower bound (ELB) on interest rates. Policy strategies with a strong history dependence lose their...

We study the impact of market incompleteness and bounded rationality on the effectiveness of make-up strategies. To do so, we simulate a heterogeneous-agent New Keynesian (HANK) model with reflective expectations and an occasionally-binding effective lower bound (ELB) on the policy rate. Our...

There are many important decision problems where learning through experimentation is costly or impossible. In these situations, individuals may try to learn from observing the outcomes of others who have made similar decisions. Often, however, information about others comprises a selected...

We develop a simple model of the exchange rate in which agents optimize their portfolio and use different forecasting rules. They check the profitability of these rules ex post and select the more profitable one. This model produces two kinds of equilibria, a fundamental and a bubble one. In a...

A general framework is described specifying how boundedly rational decision makers generate their choices. Starting from a "Master Module" which keeps an inventory of previously successful and unsuccessful routines several submodules can be called forth which either allow one to adjust behavior...

This paper presents a novel approach to analyze human decision-making that involves comparing the behavior of professional chess players relative to a computational benchmark of cognitively bounded rationality. This benchmark is constructed using algorithms of modern chess engines and allows...

Behavioural welfare economics provides tools to elicit welfare preferences when individuals use nonstandard behavioural models. Current proposals either require assumptions on the models or elicit preferences that become coarser and coarser as the dataset grows. We propose an informational...