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Data and Code for: Text as Data in Economic Analysis

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ICPSR2025-01-01 更新2026-04-16 收录
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This is data and code accompanying the article, which 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.<br>
提供机构:
Frankfurt School of Finance and Management; NL Analytics Inc.; Boston University; Tilburg University; London Business School; Federal Reserve Bank of St. Louis
创建时间:
2025-01-01
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