Human Biographical Record (HBR)

9 Pages Posted: 15 Dec 2020 Last revised: 17 Feb 2021

See all articles by Arash Nekoei

Arash Nekoei

Stockholm University - Institute for International Economic Studies (IIES)

Fabian Sinn

Stockholm University - Institute for International Economic Studies (IIES)

Multiple version iconThere are 2 versions of this paper

Date Written: December 2, 2020

Abstract

We construct a new dataset of more than seven million notable individuals across recorded human history, the Human Biographical Record (HBR). With Wikidata as the backbone, HBR adds further information from various digital sources, including Wikipedia in all 292 languages. Machine learning and text analysis combine the sources and extract information on date and place of birth and death, gender, occupation, education, and family background. This paper discusses HBR's construction and its completeness, coverage, accuracy, and also its strength and weakness relative to prior datasets. HBR is the first part of a larger project, the human record project that we briefly introduce.

Keywords: Bid data, machine learning, economic history

JEL Classification: N00,

Suggested Citation

Nekoei, Arash and Sinn, Fabian, Human Biographical Record (HBR) (December 2, 2020). Available at SSRN: https://ssrn.com/abstract=3741450 or http://dx.doi.org/10.2139/ssrn.3741450

Arash Nekoei (Contact Author)

Stockholm University - Institute for International Economic Studies (IIES) ( email )

Stockholm, SE-10691
Sweden

Fabian Sinn

Stockholm University - Institute for International Economic Studies (IIES) ( email )

Stockholm, SE-10691
Sweden

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