Publication practices in the social sciences act as a filter that favors statistically significant results over null findings. While the problem of selection on significance (SoS) is well-known in theory, it has been difficult to measure its scope empirically, and it has been challenging to...

Die Erstellung eines Intelligence Collection Plans (ICP) stellt einen zentralen Arbeitsschritt im Schnittpunkt aus der Direction-Phase (siehe Abbildung 1) und dem Intelligence Requirement Management (IRM) innerhalb des Intelligence Cycle dar. Dieser soll ermöglichen, Informationsbedarfe...

In many jurisdictions, academia is at the service of legal practice. Law professors write commentaries that summarize the state of the art of doctrine, chiefly of jurisprudence. In the spirit of a proof of concept, using the guarantee of freedom of assembly in the European Convention on Human...

In an experiment on the large language model GPT-4o, a supplier always makes a higher profit if it replaces uniform contract terms with a set of terms between which the customer may choose. The extra profit results from price discrimination. There is a first order and a second order effect. The...

Webb, Holyoak & Lu (2023) compared human reasoners and GPT-3 on several tasks involving analogy resolution, documenting human-level or superhuman performance in most conditions. In this direct replication, we tested a different, open-weights language model (Mixtral-8x7B) on the same materials...

We investigate if Large Language Models (LLMs) exhibit personality-driven strategic behavior in the Ultimatum Game by manipulating Dark Factor of Personality (D-Factor) profiles via standardized prompts. Across 400k decisions from 17 open-source models and 4,166 human benchmarks, we test whether...

The integration of large language models (LLMs) into recommender systems (RS) has given rise to a new generation of Conversational RS (CRS). This study asks how CRS systems shape consumer behavior, and, in particular, their spending. Despite the rapid proliferation of such systems, including...

We examine the changing attention that ECB Governing Council members pay to different policy objectives by analysing more than 4,600 speeches given between the establishment of the ECB and the summer of 2024. Alongside the primary objective of price stability, we consider the following potential...

We examine the changing attention that ECB Governing Council members pay to different policy objectives by analysing more than 4,600 speeches given between the establishment of the ECB and the summer of 2024. Alongside the primary objective of price stability, we consider the following potential...

We examine the changing attention that ECB Governing Council members pay to different policy objectives by analysing more than 4,600 speeches given between the establishment of the ECB and the summer of 2024. Alongside the primary objective of price stability, we consider the following potential...

In apex and constitutional courts, decisions are typically taken by a panel. If the panel decides per curiam, decisions can at most be explained by the fraction of panel members that share some demographic marker. Using this approach, in the German Constitutional Court outcomes are not...

"This book offers a comprehensive, up-to-date guide for business leaders and professionals looking to leverage AI effectively in their organizations. It addresses the growing demand for practical knowledge on AI implementation in business contexts, filling a gap between purely technical AI...

We deployed large language model (LLM) decision support for health workers at two outpatient clinics in Nigeria. For each patient, health workers drafted care plans that were optionally revised after LLM feedback. We compared unassisted and assisted plans using blinded randomized assessments by...

Do generative AI models, particularly large language models (LLMs), exhibit systematic behavioral biases in economic and financial decisions? If so, how can these biases be mitigated? Drawing on the cognitive psychology and experimental economics literatures, we conduct the most comprehensive...

With the diffusion of LLMs between 2022 and 2025, new book releases have tripled, raising a question of AI's impact on book quality. We develop a ratings-based usage measure that is comparable across book release vintages, and we find that the vintages from the AI influx period have lower...

We measure how frontier research frames what is normatively at stake along the efficiency and equity dimension. We develop and validate an LLM-based measurement pipeline and apply it to 27,464 full-text journal articles from 1950 to 2021. Efficiency focused framing rises through the late 1980s,...

Autoregressive LLMs generate text by sampling from estimated probability distributions over the next token, conditional on prior context. We use these probabilities to construct an entropy-based measure of prediction uncertainty, termed inner confidence. In news classification, LLM predictions...

This article develops a novel economic sentiment indicator (LLM-ESI) by applying large language models to open-ended responses from Swiss business tendency surveys. Using a BERT-based transformer model, it extracts firmlevel sentiment from free-text survey comments and aggregates it into a...

Sustainable research and innovation activities are mainly executed in collaborative networks consisting of stakeholders from academia, the economy, politics, and the media-based public considering the knowledge of the natural environment of societies. AI-based tools play an increasing role in...

The integration of large language models (LLMs) into recommender systems (RS) has given rise to a new generation of Conversational RS (CRS). This study asks how CRS systems shape consumer behavior, and, in particular, their spending. Despite the rapid proliferation of such systems, including...

Complex problems such as climate change pose severe challenges to societies worldwide. To overcome these challenges, digital innovation contests have emerged as a promising tool for idea generation. However, assessing idea quality in innovation contests is becoming increasingly problematic in...

In this paper, aProCheCk, an Autonomous Process Coherence Checking method, is developed. aProCheCk leverages large language models (LLMs) to enhance the coherence checking of multi-level process documentation within business process management (BPM). This research addresses the need for...

This article develops a novel economic sentiment indicator (LLM-ESI) by applying large language models to open-ended responses from Swiss business tendency surveys. Using a BERT-based transformer model, it extracts firmlevel sentiment from free-text survey comments and aggregates it into a...

In many jurisdictions, academia is at the service of legal practice. Law professors write commentaries that summarize the state of the art of doctrine, chiefly of jurisprudence. In the spirit of a proof of concept, using the guarantee of freedom of assembly in the European Convention on Human...