Search Results - subject:"Machine Learning"

Proxying Economic Activity with Daytime Satellite Imagery: Filling Data Gaps across Time and Space

Lehnert, Patrick; Niederberger, Michael; … - 2022

proxy, we apply machine-learning techniques to a historical time series of daytime satellite imagery dating back to 1984 …

Persistent link: https://www.econbiz.de/10013426404

Human and machine: The impact of machine input on decision-making under cognitive limitations

Boyacı, Tamer; Canyakmaz, Caner; de Véricourt, Francis - 2022

The rapid adoption of AI technologies by many organizations has recently raised concerns that AI may eventually replace humans in certain tasks. In fact, when used in collaboration, machines can significantly enhance the complementary strengths of humans. Indeed, because of their immense...

Persistent link: https://www.econbiz.de/10013464269

What drives the relationship between digitalization and industrial energy demand? Exploring firm-level heterogeneity

Axenbeck, Janna; Berner, Anne; Kneib, Thomas - 2022

drivers of the relationship between ICT and energy use in manufacturing. We apply flexible tree-based machine learning to a …

Persistent link: https://www.econbiz.de/10013464281

Revisiting SME default predictors: The Omega Score

Altman, Edward I.; Balzano, Marco; Giannozzi, Alessandro; … - 2022

the Least Absolute Shortage and Shrinkage Operator (LASSO). Results were further confirmed through other machine-learning …

Persistent link: https://www.econbiz.de/10013466195

How Communication Makes the Difference between a Cartel and Tacit Collusion: A Machine Learning Approach

Andres, Maximilian; Bruttel, Lisa; Friedrichsen, Jana - 2022

This paper sheds new light on the role of communication for cartel formation. Using machine learning to evaluate free …

Persistent link: https://www.econbiz.de/10013470283

AI, Skill, and Productivity: The Case of Taxi Drivers

Kanazawa, Kyogo; Kawaguchi, Daiji; Shigeoka, Hitoshi; … - 2022

We examine the impact of Articial Intelligence (AI) on productivity in the context of taxi drivers. The AI we study assists drivers with finding customers by suggesting routes along which the demand is predicted to be high. We find that AI improves drivers' productivity by shortening the...

Persistent link: https://www.econbiz.de/10013470440

ESG Factors and Firms' Credit Risk

Bonacorsi, Laura; Cerasi, Vittoria; Galfrascoli, Paola; … - 2022

Supervised Machine Learning (SML) techniques on a cross-section of European listed companies. Our proxy for credit risk is the z …

Persistent link: https://www.econbiz.de/10013470527

Creating Data from Unstructured Text with Context Rule Assisted Machine Learning (CRAML)

Meisenbacher, Stephen; Norlander, Peter - 2022

, replicability, and real-world applicability. These can be overcome with Context Rule Assisted Machine Learning (CRAML), a method and … data from text with Machine Learning, we publish open-source resources: the software, a new public document corpus, and a …

Persistent link: https://www.econbiz.de/10013470720

Machine learning methods in finance: Recent applications and prospects

Hoang, Daniel; Wiegratz, Kevin - 2022

We study how researchers can apply machine learning (ML) methods in finance. We first establish that the two major …

Persistent link: https://www.econbiz.de/10013471329

Smarter than humans? Validating how OpenAI's ChatGPT model explains crowdfunding, alternative finance and community finance

Wenzlaff, Karsten; Spaeth, Sebastian - 2022

trained through supervised, reinforced machine-learning. The answers depend on the input which the algorithm receives from the …

Persistent link: https://www.econbiz.de/10013477184