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Historical Political Economy

Past, Present, and Future

Bibliographic Data

ID6232944
AuthorsVolha Charnysh (0000-0002-5089-3818, Massachusetts Institute of Technology), Eugene Finkel (Johns Hopkins School of Advanced International Studies, Washington, DC, USA;), Scott Gehlbach (0000-0002-9689-0145, University of Chicago)
Year2023
Volume26
Issue1
Pages175-191
Publication date2023-06-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAnnual Review of Political Science (BOOK_SERIES)
Journal identifiersISSN: 1094-2939 • E-ISSN: 1545-1577
PublisherAnnual Reviews (PUBLISHER • US)
DOI10.1146/annurev-polisci-051921-102440
OpenAlexW4311067272
LanguageEN
Citations received13
References cited80

A recent wave of research in political science examines the past using statistical methods for causal inference and formal theory—a field widely known as historical political economy (HPE). We examine the development of this field. Our survey reveals three common uses of history in HPE: understanding the past for its own sake, using history as a way to understand the present, and using history as a setting to explore theoretical conjectures. We present important work in each area and discuss trade-offs of each approach. We further identify key practical and analytical challenges for scholars of HPE, including the accessibility of data that do exist and obstacles to inference when they do not. Looking to the future, we see improved training for scholars entering the field, a heightened focus on the accumulation of knowledge, and greater attention to underexplored topics such as race, gender, ethnicity, and climate change

Causal inference · Data science · Economics · Epistemology · Ethnic group · Field (mathematics · Inference · Political science · Politics · Positive economics · Race (biology · Social science · Sociology · Computer Science · Culture, Economy, and Development Studies · Electoral Systems and Political Participation · Gender Studies · Law · Political Conflict and Governance

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Unique citing works13
Citations per year6,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 13

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