In this paper we address the question of how individuals form expectations and invent,
reinforce, and update their forecasting rules in a complex world. We do so by fitting a novel …

This paper introduces a learning-to-forecast laboratory experiment based on a New-
Keynesian macroeconomy that is particularly close to the model's microfoundations. In this …

Abstract Bao et al.(2017) show that in laboratory subjects have problems with both trading
an experimental asset and forecasting its price. In this paper I explore these experimental …

In this paper we study a model in which agents independently optimize first order price
forecasting rule with Genetic Algorithms. This agent-based model (inspired by Hommes and …

In this paper, I introduce two novel treatments into learning-to-forecast experiments: an initial
anchor and a limited information treatment. The initial anchor pins down the subjects' initial …