In 2015, school-work alternation programmes (alternanza scuola lavoro) became compulsory in all Italian high schools, with the purpose of enabling students to combine theoretical learning at school with work-based learning. A distinctive feature of this reform was that the intensity of...

The paper presents a new meta data set covering 13 experiments on the social learning games by Bikhchandani, Hirshleifer, and Welch (1992). The large amount of data makes it possible to estimate the empirically optimal action for a large variety of decision situations and ask about the economic...

We study beliefs and choices in a repeated normal-form game. In addition to a baseline treatment with common knowledge of the game structure and feedback about choices in the previous period, we run treatments (i) without feedback about previous play, (ii) with no information about the...

"The fully revised and updated version of this successful Handbook is welcomed by management scholars world-wide. By bringing together the latest approaches from the leading experts in organizational learning & knowledge management the volume provides a unique and valuable overview of current...

As demand to substantiate predictions from economic theory with causal empirical evidence increases, economists have more and more turned towards controlled laboratory experiments. As this field has blossomed it has provided evidence confirming some of the key predictions of economic theory and...

"The fully revised and updated version of this successful Handbook is welcomed by management scholars world-wide. By bringing together the latest approaches from the leading experts in organizational learning & knowledge management the volume provides a unique and valuable overview of current...

In case of multiple source lending even solvent firms may be forced into bankruptcy due to uncoordinated credit withdrawals of their lenders. This paper analyzes whether a debtor firm can thwart such inefficient liquidations by offering creditors the option to delay their foreclosure decision...

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, one of which is deterministic without the technological shock and the other is stochastic. The...