This dataset contains the Brexit-Related Uncertainty Index (BRUI), a novel monthly uncertainty measure constructed for the United Kingdom covering the period from May 2012 to January 2025. The index is constructed using a combination of text mining, context-window approaches, natural language processing (NLP), and deep learning-based large language models (LLMs) applied to a large corpus of news articles and policy documents. The dataset accompanies the paper: "Introducing a New Brexit-Related Uncertainty Index: Its Evolution, Economic Consequences, and Policy Relevance for Sustainable Development Goal 17." Contents:- Monthly BRUI series (2012M05–2025M01)- Variable descriptions and data dictionary Methodology: The BRUI is constructed by searching for Brexit-related terms within a predefined context window in news text. Sentence-level classification is performed using fine-tuned transformer-based LLMs to distinguish genuine uncertainty language from non-uncertainty mentions. The index is normalized and aggregated to monthly frequency. Validation: The BRUI exhibits significant co-movement with established uncertainty indices in the literature (e.g., the Economic Policy Uncertainty Index), confirming its empirical validity. A vector autoregression (VAR) framework is used in the associated paper to examine macroeconomic responses to BRUI shocks. Policy relevance: The index provides a quantitative tool for monitoring uncertainty surrounding UK–EU trade partnerships and international economic cooperation, directly relevant to United Nations Sustainable Development Goal 17 (Partnerships for the Goals). Suggested citation: Please cite the accompanying paper when using this dataset.
İsmet Göçer (Wed,) studied this question.