Companies are increasingly adopting Artificial Intelligence (AI) today. Recently however debates started over the risk of human cognitive biases being replicated (and scaled) by AI. Research on biases in AI predicting consumer choice is incipient and focuses on observable biases. We provide a...

Population changes are decisive for growth performances. This has been shown in a number of country studies, using time series data. The analysis is here extended in two dimensions: 1) the importance of demographics for growth is taking in to account a regional dimension allowing for spatial...

We argue that gamma discounting (Weitzman, 2001) can be understood as a veridical approach to combining experts' forecasts, in which experts are treated as either right or wrong and are weighted equally in pursuit of the 'true' forecast. More appropriate is the optimal-seeking approach in which...

This paper explores the quality of Scope 3 emission data in terms of divergence and composition and the performance of machine learning models in predicting Scope 3 emissions. We do so using the Scope 3 emission datasets of three of the largest data providers (Refinitiv Eikon, and ISS). We find...

This paper presents a simulative model of a financial market, based on a fully operating order book with limit and market orders. The heterogeneity of traders is characterized not only with regards to their trading rules, but also by introducing a behavioral individual risk aversion and a...

This paper presents a simulative model of a financial market, based on a fully operating order book with limit and market orders. The heterogeneity of traders is characterized not only with regards to their trading rules, but also by introducing a behavioral individual risk aversion and a...