Indirect reciprocity is defined as a specific kind of behavior: An agent rewards or penalizes another agent for having behaved kindly or unkindly toward a third party. This paper analyzes the question of what drives indirect reciprocity: Does the agent reward or penalize because she...

Indirect reciprocity is defined as a specific kind of behavior: An agent rewards or penalizes another agent for having behaved kindly or unkindly toward a third party. This paper analyzes the question of what drives indirect reciprocity: Does the agent reward or penalize because she...

The external validity of dictator games conducted in a lab is often questioned due to the use of small stake sizes that do not correspond to real-world settings. A potential solution to this problem is based on how participant perceptions of stake sizes are affected by their numerical...

This paper studies the impact of majority voting on interregional competition for firms. We model the competition as a first-price sealed bid auction under full information between two regions inhabited by low- and high-skilled individuals. The firm's location causes an increase in wages for the...

We report evidence from a series of laboratory experiments that focus on mental accounting of 'public funds'. Groups of three players decide upon how much to redistribute within the group. We measure the preference to redistribute when transfers are made either out of individual accounts (the...

The 2030 Agenda and accompanying Sustainable Development Goals (SDGs) are vital in guiding national and global policy. However, many of the SDG indicators used to measure progress toward those goals suffer from long publication lags. Nowcasting has the potential to address this problem and...

Nowcasting can play a key role in giving policymakers timelier insight to data published with a significant time lag, such as final GDP figures. Currently, there are a plethora of methodologies and approaches for practitioners to choose from. However, there lacks a comprehensive comparison of...

Artificial neural networks (ANNs) have been the catalyst to numerous advances in a variety of fields and disciplines in recent years. Their impact on economics, however, has been comparatively muted.One type of ANN, the long short-term memory network (LSTM), is particularly well-suited to deal...