We study long-run learning in an experimental Cournot game with no explicit information about the payoff function. Subjects see only the quantities and payoffs of each oligopolist after every period. In line with theoretical predictions and previous experimental findings, duopolies and...

From a firm’s perspective two competing forces are driving the decision to invest in innovation. On the one hand, innovative performance is an important driver of profitability and growth. On the other hand, investments in innovation suffer from negative externalities, i.e. spillovers to other...

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...

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...