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PIP - Ready-Made Aggregated Yearly Time-Series--Cross-Section Dataset

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title PIP - Ready-Made Aggregated Yearly Time-Series--Cross-Section Dataset
 
Identifier https://doi.org/10.7910/DVN/FRLXQG
 
Creator Jahn, Detlef
Düpont, Nils
Stremming, Christina
Baltz, Erik
Andorff-Woller, Maximilian
Klagges, Lisa
Suda, Sophie
 
Publisher Harvard Dataverse
 
Description The dataset contains PIP data aggregated to the country-year level with ready-made models of government positions for macro-comparative political analyses.



It uses a standard classification of countries (prime minister model, minister model, collegiate model) and data on several ministers (social affairs, housing, health, labor, economy, industry, finance, foreign affairs, environment, and agriculture) (Jahn 2022a; see also: Jahn 2018: 61-71). Concerning their ideological preferences, we employ the left-right index (LR) developed by Jahn (2011; 2022b) -- except for environmental ministers, for whom we use an environmental dimension (GG) (Jahn 2018: 43-49).



All variables in the dataset have (a) a categorical coding of ministers, (b) a unique coding of individual ministers, once for national agenda-setters and veto players and once for the ideological center of gravity of the European Union (including Council, Commission, Council of Ministers and European Parliament).
 
Subject Social Sciences
parties, governments, parliaments, presidents, ideology, agenda-setter, veto player
 
Language English
 
Contributor Jahn, Detlef
 
Relation Jahn, Detlef, Nils Düpont, Erik Baltz, Maximilian Andorff-Woller, Lisa Klagges, Sophie Suda, Thomas Behm, Sven Kosanke, Christoph Oberst, Martin Rachuj, Christina Stremming, and Debora Thie. 2022. “PIP - Main Dataset (Version 2022-04).” Harvard Dataverse. https://doi.org/10.7910/DVN/KRXPH4
 
Type aggregate political information