Gator
<|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:'Gator is a time-series cross-sectional (TSCS) dataset covering social, political and economic data on Norwegian municipalities in the time period 1945 to 2016. The dataset is hierarchically structured, containing municipal, county, regional and national data. The municipalities are geocoded on their municipal centres, allowing analysis of spatial correlation structures. Mapping is possible using external shape-files. Additionally, county and regional indicators are available for cross-national regional analysis, identifying units through the European Nomenclature of Territorial Units for Statistics (NUTS). The data are largely based on public data repositories and registries. Combining data on lower levels of analysis, e.g. individuals, companies or public institutions, is encouraged.The attached dataset is a small subset of the com' . 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" : ["Geography","Multilevel modeling","Municipalities","Panel-data analysis","Political Science","Social Science","Spatial Regression"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Gator is a time-series cross-sectional (TSCS) dataset covering social, political and economic data on Norwegian municipalities in the time period 1945 to 2016. The dataset is hierarchically structured, containing municipal, county, regional and national data. The municipalities are geocoded on their municipal centres, allowing analysis of spatial correlation structures. Mapping is possible using external shape-files. Additionally, county and regional indicators are available for cross-national regional analysis, identifying units through the European Nomenclature of Territorial Units for Statistics (NUTS). The data are largely based on public data repositories and registries. Combining data on lower levels of analysis, e.g. individuals, companies or public institutions, is encouraged.The attached dataset is a small subset of the com' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Gator is a time-series cross-sectional (TSCS) dataset covering social, political and economic data on Norwegian municipalities in the time period 1945 to 2016. The dataset is hierarchically structured, containing municipal, county, regional and national data. The municipalities are geocoded on their municipal centres, allowing analysis of spatial correlation structures. Mapping is possible using external shape-files. Additionally, county and regional indicators are available for cross-national regional analysis, identifying units through the European Nomenclature of Territorial Units for Statistics (NUTS). The data are largely based on public data repositories and registries. Combining data on lower levels of analysis, e.g. individuals, companies or public institutions, is encouraged.The attached dataset is a small subset of the com
Geography; Multilevel modeling; Municipalities; Panel-data analysis; Political Science; Social Science; Spatial Regression