We consider boundedly rational agents who do not plan over the infinite future but make trading plans at a finite, arbitrary horizon. We investigate the role of that horizon in the price dynamics of an asset in a Lucas tree model. We then design a laboratory experiment to test our theoretical...

We conduct an experiment within a large-scale household survey on public finance in France, the Netherlands and Italy. We elicit prior beliefs via open-ended questions and introduce a measure of macroeconomic policy literacy. An educational blog post from a central bank (CB) that opposes...

This paper analyses the Nairu in the Euro Area and the influence that monetary policy had on its development. Using the Kalman-filter technique we find that the Nairu has varied considerably since the early seventies. The Kalman-filter technique is applied here for the first time using explicit...

Policy implications are derived for an inflation-targeting central bank, whose credibility is endogenous and depends on its past ability to achieve its targets. This is done in a New Keynesian framework with heterogeneous and boundedly rational expectations. We find that the region of allowed...

We introduce behavioral learning equilibria (BLE) into a multi-variate linear framework and apply it to New Keynesian DSGE models. In a BLE, boundedly rational agents use simple but optimal first-order autoregressive (AR(1)) forecasting rules whose parameters are consistent with the observed...

We develop a Canadian behavioral agent-based model (CANVAS) that utilizes Canadian micro- and macroeconomic data for forecasting and policy analysis. CANVAS represents a next-generation modelling effort, as it improves upon the previous generation of models in three dimensions: introducing...