Loading...
Text as Data in Economic Analysis
Hassan,Tarek A. Hollander,Stephan Kalyani,Aakash van Lent,Laurence Schwedeler,Markus Tahoun,Ahmed
Hassan,Tarek A.
Hollander,Stephan
Kalyani,Aakash
van Lent,Laurence
Schwedeler,Markus
Tahoun,Ahmed
Abstract
<jats:p> This article discusses how to apply computational linguistics techniques to analyze largely unstructured corporate-generated text for economic analysis. As a core example, we illustrate how textual analysis of earnings conference call transcripts can provide insights into how markets and individual firms respond to economic shocks, such as a nuclear disaster or a geopolitical event: insights that often elude traditional non-text data sources. This approach enables extracting actionable intelligence, supporting both policy-making and strategic corporate decision-making. We also explore applications using other sources of corporate-generated text, including patent documents and job postings. By incorporating computational linguistics techniques into the analysis of economic shocks, new opportunities arise for real-time economic data, offering a more nuanced understanding of market and firm responses in times of economic volatility. </jats:p>
Description
Date
2025-08-01
Journal Title
Journal ISSN
Volume Title
Publisher
Research Projects
Organizational Units
Journal Issue
Keywords
Conference calls, Information, Monetary-policy matter, Uncertain, Voluntary disclosure, SDG 17 - Partnerships for the Goals
Citation
Hassan, T A, Hollander, S, Kalyani, A, van Lent, L, Schwedeler, M & Tahoun, A 2025, 'Text as Data in Economic Analysis', Journal of Economic Perspectives, vol. 39, no. 3, pp. 193-220. https://doi.org/10.1257/jep.20231365
License
info:eu-repo/semantics/restrictedAccess