Human-created works represent critical data inputs to artificial intelligence (AI). Strategic behaviour can play a major role for AI training datasets, be it in limiting access to existing works or in deciding which types of new works to create or whether to create new works at all. We examine...

Large Language Models (LLMs) have the potential to profoundly transform and enrich experimental economic research. We propose a new software framework, "alter_ego", which makes it easy to design experiments between LLMs and to integrate LLMs into oTreebased experiments with human subjects. Our...

Artificial intelligence currently represents one of the most talked about topics, considering the need for sustainable economic growth at a global level. When it comes to education, artificial intelligence is aimed at enhancing systems, ways of learning, as well as at the results of learning, on...

The paper explores the relationship between ICT adoption and credit behavior for small and medium enterprises in India. We use the latest round of the World Bank Enterprise Survey for India, conducted in 2021, and employ an instrumental variable estimation technique to account for any potential...

In the blockchain world, proof-of-work is the dominant protocol mechanism that determines the consensus of the ledger. The hashrate, a measure of the computational power directed toward securing a blockchain through proof-of-work consensus, is a fundamental measure of preventing various attacks....

Government regulators often establish maximum prices for regulated services. This paper explains the proper economic principles for establishing such constraints. The principles imply a range - an upper limit and a lower limit - that constrain the regulator's discretion. Principles emerging from...

Government regulators often establish maximum prices for regulated services. This paper explains the proper economic principles for establishing such constraints. The principles imply a range - an upper limit and a lower limit - that constrain the regulator's discretion. Principles emerging from...

Large Language Models (LLMs) have the potential to profoundly transform and enrich experimental economic research. We propose a new software framework, "alter_ego", which makes it easy to design experiments between LLMs and to integrate LLMs into oTree-based experiments with human subjects. Our...

In October 2017, the European Systemic Risk Board (ESRB) set up a group whose objective was to examine cyber security vulnerabilities within the financial sector, and their potential impact on financial stability and the real economy. In its first year, the European Systemic Cyber Group (ESCG)...

This paper presents the services trade restrictiveness indices (STRIs) for computer services. The STRIs are composite indices taking values between zero and one, zero representing an open market and one a market completely closed to foreign services providers. The indices are calculated for 40...