17 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
Most days mix reading, data work, and writing. You might spend the morning in an archive scanning old company records or census reports, then the afternoon cleaning data in Microsoft Excel or IBM SPSS Statistics for analysis.
Evenings or set days are for writing drafts, preparing a Microsoft PowerPoint for a conference, or developing an outreach talk for a local historical society.
Expect Microsoft Excel for datasets and basic charts, IBM SPSS Statistics for statistical tests, and Microsoft Access for managing large bibliographic or archive inventories.
You’ll also use Microsoft PowerPoint for presentations, Microsoft Word/Office for drafts, and sometimes Adobe InDesign or Microsoft SharePoint when producing or sharing polished publications.
You can use AI to summarize sources or suggest search terms, but never as a fact source. Always check every AI claim against the original archive, books, or peer-reviewed articles.
Avoid uploading unpublished or sensitive archival material to public AI services. For translations, use AI drafts but verify against a human translator, especially for older or ambiguous language.
According to the U.S. Bureau of Labor Statistics (BLS, 2025), 3,450 people are employed as economic historians. The median annual wage is $76,750.
BLS lists the lowest tenth at $42,730 and the top tenth at $131,810. Use those to set your expectations for entry vs. senior roles.
Begin with a bachelor’s in history, economics, or a related field, then get a master’s or PhD focusing on economic history methods and sources. Learn Excel and SPSS basics early, since you’ll use them in coursework and research.
Work in archives or a historical society to learn cataloging, source criticism, and translation needs. Publish or present a conference paper to build a track record.
An economic historian studies past economies using historical sources; an economist models or forecasts current economic behavior. Economic historians use archives, biographies, and timelines, not just economic theory and modern datasets.
Compared with a general historian, economic historians focus on prices, trade, labour, firms, and long-run economic change and so use tools like SPSS and Excel more often for quantitative evidence.
Source criticism: the ability to judge if a record is reliable, biased, or incomplete. Employers want people who can trace where a number came from and explain its limits.
They also expect competence with data tools—Excel and SPSS—and practical skills like organizing collections, cataloging in Access, and preparing public-facing publications.