This paper estimates the causal effect of a large language model-based study assistant on student behavior and learning outcomes in a natural field setting with real academic stakes. I design and deploy a course-specific AI assistant (GPT-UAI) for undergraduate econometrics and evaluate it...

Context: The Fourth Industrial Revolution has accelerated the integration of automation technologies into the world of work, raising important questions about the future of Vocational Education and Training (VET). While existing literature has primarily focused on the labor market impacts of...

This paper constructs a high-frequency, news-based measure of rare earth supply shocks to examine how disruptions in these critical inputs affect global firm valuations. Using news articles between 2021 and 2025, I identify exogenous rare earth supply events, distinguishing between Chinese...

Addressing global environmental challenges necessitates an imperative shift in behavioural change and citizen engagement. This study centres on the integration of social media with Large Language Model (LLM) functionalities, sufficiently efficient in generating content relevant to the targeted...