We show how simple statistical techniques for capturing critical transitions used in natural sciences, fail to capture economic regime shifts. This implies that we need to use model-based approaches to identify critical transitions. We apply a heterogenous agents model in a standard housing...

This paper investigates the ability of the adaptive learning approach to replicate the expectations of professional forecasters. For a range of macroeconomic and financial variables, we compare constant and decreasing gain learning models to simple, yet powerful benchmark models. We find that...

We introduce heterogeneous expectations in a standard housing market model linking housing rental levels to fundamental buying prices. Using quarterly data we estimate the model parameters for eight different countries, US, UK, NL, JP, CH, ES, SE and BE. We find that the data support...

In this paper we study why, and when, and in what form, a satisficing strategy is a better bet for survival, than a strategy which uses the best available information in attempting to optimize the outcome. We prove that, under severe uncertainty, a robust-satisficing decision has a better...

In situations of relative calm and certainty, policy makers have confidence in the mechanisms at work and feel capable of attaining precise and ambitious results. As the environment becomes less and less certain, policy makers are confronted with the fact that there is a trade-off between the...

The default option in individual decision making has proved to be a major attractor in a large number of situations, but we still have little information on the reasons why decision makers so often stick to the default choice. We have devised a new module for the Dutch DNB Household Survey to...

Central banks have become more and more transparent about their monetary policy making process. In the central bank transparency literature the distinction between actual and perceived transparency is often lacking. However, as perceptions are crucial for the actions of economic agents this...