PIP - Ready-Made Aggregated Yearly Time-Series--Cross-Section Dataset
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. 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 vet' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["parties, governments, parliaments, presidents, ideology, agenda-setter, veto player"]} <|eot_id|>
 Here is the Description of a dataset. 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 vet' . Please return only a json list of at most 3 Keywords corresponding to the 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 vet
parties, governments, parliaments, presidents, ideology, agenda-setter, veto player