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Data

 

“Identifying Ideologues: A Global Dataset on Chief Executives, 1945-2020”

 

The dataset identifies the economic ideologies and political parties of heads of government in 178 countries and of political leaders (as coded by Archigos) in 178 countries from 1945 or independence to 2020. The dataset distinguishes between chief executives with leftist, centrist, rightist, and no discernible economic ideology.

 

Download the data, country profiles, and supplementary materials here or from GitHub.


When using the data, please cite the article presenting it:
 

Herre, Bastian. 2023. Identifying Ideologues: A Global Dataset on Political Leaders, 1945-2020. British Journal of Political Science 53(2): 740-748. https://doi.org/10.1017/S0007123422000217

I am grateful to Sophia Barkoff, Aaron Casella, Austin Christhilf, Amisha Kapur, Russell Legate-Yang, Julia Lodoen, Lysimachos Mavridis, Mariana Paez, Ivanna Shevel, Alexander Shura, Benjamin Silvian, Wen Li Teng, Sean Uribe, Joshua Zakharov, and Hsin Min Zee for their outstanding research assistance, without which this dataset would not exist.

I thank the Pearson Institute for the Study and Resolution of Global Conflicts, the Center for International Social Science Research, the Stigler Center for the Study of the Economy and the State, and the Division of the Social Sciences at the University of Chicago, as well as the the Institute for Humane Studies at George Mason University for their financial support.

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Note: figures created with Stata using Daniel Bischof's graphic schemes.

 

“Coup leaders: a new comprehensive dataset, 1950-2020”

​(with Tanja Eschenauer-Engler)

The dataset codes the identity and military rank of the leaders of all 474 failed and successful coups from 1950 to 2020. It differentiates coup leaders by civilians, senior officers, mid-ranking officers, and junior officers.

Do
wnload the data here.

When using the data, please cite the article presenting it:

Eschenauer-Engler, Tanja, and Bastian Herre. 2023. Coup leaders: a new comprehensive dataset, 1950-2020. European Political Science. https://doi.org/10.1057/s41304-023-00438-5

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