Good Governance Problems and Recent Financial Crises in Some EU Countries [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:'This study examines 147 banking crises in the period of 1976-2011 documented by the International Monetary Fund. The countries affected by crises are analysed in respect of publicly available World Bank indicators in the periods of three years before the crises. Machine learning methodology for subgroup discovery is used for the analysis. It enabled identification of five subsets of crises. Two of them are identified as especially useful for the characterization of EU countries affected by the banking crises in the year 2008. Fast growing credit activity is a characteristic for the first subgroup while socioeconomic problems recognized by non-increasing quality of public health are decisive for the second subgroup. Comparative analysis of the EU countries included into the second subgroup and the EU countries affected by the banking cri' . 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" : ["Banking Crises","Good Governance","Subgroup Discovery","World Bank Indicators"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This study examines 147 banking crises in the period of 1976-2011 documented by the International Monetary Fund. The countries affected by crises are analysed in respect of publicly available World Bank indicators in the periods of three years before the crises. Machine learning methodology for subgroup discovery is used for the analysis. It enabled identification of five subsets of crises. Two of them are identified as especially useful for the characterization of EU countries affected by the banking crises in the year 2008. Fast growing credit activity is a characteristic for the first subgroup while socioeconomic problems recognized by non-increasing quality of public health are decisive for the second subgroup. Comparative analysis of the EU countries included into the second subgroup and the EU countries affected by the banking cri' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This study examines 147 banking crises in the period of 1976-2011 documented by the International Monetary Fund. The countries affected by crises are analysed in respect of publicly available World Bank indicators in the periods of three years before the crises. Machine learning methodology for subgroup discovery is used for the analysis. It enabled identification of five subsets of crises. Two of them are identified as especially useful for the characterization of EU countries affected by the banking crises in the year 2008. Fast growing credit activity is a characteristic for the first subgroup while socioeconomic problems recognized by non-increasing quality of public health are decisive for the second subgroup. Comparative analysis of the EU countries included into the second subgroup and the EU countries affected by the banking cri
Banking Crises; Good Governance; Subgroup Discovery; World Bank Indicators