We introduce a novel, non-parametric approach for estimating house price indices that capture heterogeneous price developments independently of strict functional form assumptions. Utilizing the potential outcomes framework, our approach employs causal forests to effectively address changes in...

This study presents an exploratory analysis of the key factors contributing to fatal and severe crashes on German motorways. We employ Poisson and Negative Binomial regression models, combined with Lasso regularization and stability selection, to explore model specifications incorporating...

Purpose The research examines the Twitter (X) accounts of 20 retail banks in the USA, selected from the Top 100 banks on Twitter, over the period of 2012-2022, focusing on consumer reactions to posts. By analysing 136,150 tweets, the study aims to explore how banks utilize Twitter, and examine...

People hold mixed views about adopting artificial intelligence (AI) in the workplace - some believe that AI facilitates work processes, while others worry that it poses a threat to the importance of human labor. To address this conundrum regarding how employees feel and behave when AI is applied...