A Practitioner's Guide to Using Large Language Models and Generative AI in Economic History -- by Andreas Ferrara

2026-06-25 · Source: National Bureau of Economic Research Working Papers · Field: Science & Research — Social Sciences & Behavioral Studies, Research Methodology & Innovation, Economic Analysis & Policy · Depth: Intermediate, quick

Summary

Andreas Ferrara's "A Practitioner's Guide to Using Large Language Models and Generative AI in Economic History" introduces the application of advanced artificial intelligence within historical economic research. This guide, published under the National Bureau of Economic Research (NBER), aims to equip practitioners with the knowledge and methodologies required to effectively integrate Large Language Models (LLMs) and Generative AI into their studies. It likely explores practical approaches for leveraging these technologies to analyze vast historical datasets, interpret complex economic trends from the past, and generate novel insights relevant to economic history. The publication's context suggests a focus on rigorous, research-oriented applications, bridging cutting-edge AI capabilities with established methods of historical economic analysis.

Key takeaway

For economic historians and research scientists exploring new analytical tools, Andreas Ferrara's guide offers a critical resource for integrating Large Language Models and Generative AI into your research workflows. You should consult this guide to understand practical applications, potential benefits, and methodological considerations for leveraging AI to analyze historical economic data and derive novel insights. This could significantly enhance your ability to process complex historical narratives and identify subtle economic patterns.

Key insights

Large Language Models and Generative AI offer new tools for analyzing and interpreting economic history.

In practice

• Analyze historical economic texts.
• Model past economic scenarios.
• Identify long-term economic trends.

Topics

• Large Language Models
• Generative AI
• Economic History
• Historical Research
• Applied AI

Best for: Research Scientist, Data Scientist, Domain Expert

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