Full Citation

Title: “Big Data” in Economic History

Citation Type: Journal Article

Publication Year: 2018

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Abstract: Big data is an exciting prospect for the field of economic history, which has long depended on the acquisition, keying, and cleaning of scarce numerical information about the past. This article examines two areas in which economic historians are already using big data – population and environment – discussing ways in which increased frequency of observation, denser samples, and smaller geographic units allow us to analyze the past with greater precision and often to track individuals, places, and phenomena across time. We also explore promising new sources of big data: organically created economic data, high resolution images, and textual corpora.

Url: http://scholar.google.com/scholar_url?url=https://www.cambridge.org/core/journals/journal-of-economic-history/article/big-data-in-economic-history/C6309D815663917BBF03DC6B95CE62B4&hl=en&sa=X&scisig=AAGBfm1b04Mra9hHHegOslc-pBgp8WBaDg&nossl=1&oi=scholaralrt

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Authors: Gutmann, Myron, P; Klancher Merchant, Emily; Roberts, Evan

Periodical (Full): The Journal of Economic History

Issue: 1

Volume: 78

Pages: 268-299

Data Collections: IPUMS USA - Ancestry Full Count Data, IPUMS International, IPUMS Terra

Topics: Population Data Science

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