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Political behavior

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Apache License 2.0
Creative Commons Attribution 4.0 International
Creative Commons Attribution Share Alike 4.0 International
Creative Commons Zero v1.0 Universal
GNU General Public License v3.0 or later
MIT License

U.S. Political Behavior, Social Identity, and Demographic Patterns

carol.reyes.dulong

Creators: Leonardo Bursztyn, The University of Chicago and NBER; Thomas Chaney, University of Southern California, Sciences Po, and CEPR; Tarek A. Hassan, Boston University, NBER, and CEPR; Aakaash Rao, Harvard University

Publication Date: 2023-12-12

Creators: Leonardo Bursztyn, The University of Chicago and NBER; Thomas Chaney, University of Southern California, Sciences Po, and CEPR; Tarek A. Hassan, Boston University, NBER, and CEPR; Aakaash Rao, Harvard University

This collection compiles datasets from large-scale U.S. surveys, administrative records, and demographic sources to examine political behavior, social identity, and civic engagement. It includes national election studies (such as CCES and Nationscape), implicit association tests (IAT), marriage pattern data, county-level demographics from the census, political donation records, and geographic indicators. These datasets support in-depth analysis of voter preferences, polarization, social attitudes, demographic influences, and regional variation in political and social behavior across the United States.

Elite Backgrounds, Career Paths, and Promotion Patterns in the Chinese Communist Party (CCP)

carol.reyes.dulong

Creators: Patrick Francois, Francesco Trebbi, Kairong Xiao

Publication Date: 2023-03-01

Creators: Patrick Francois, Francesco Trebbi, Kairong Xiao

This dataset collection contains detailed individual-level data on members of the Chinese Communist Party (CCP), primarily from the 19th Central Committee and related leadership bodies. The data include variables on personal demographics (e.g., gender, ethnicity, education), career trajectories (e.g., office tenures, geographic placements, sectoral experience), and elite backgrounds (e.g., military service, red/technocratic family origins, bureaucratic ties). Several datasets focus on promotion outcomes and covariates relevant for regression analysis, while others record coded biographical information from public sources such as official CCP documents and media reports. Variables span institutional affiliations, cadre rank levels, prior leadership experience, and exposure to national vs. local governance. This structure enables analysis of determinants of elite selection and promotion within the CCP hierarchy.

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