{"title":"Bankscope数据集:入门","authors":"Thibaut Duprey, Mathias Lé","doi":"10.2139/ssrn.2191449","DOIUrl":null,"url":null,"abstract":"The Bankscope dataset is a popular source of bank balance sheet informations among banking economists, which covers the last 20 years for more than 30,000 worldwide banks. This technical paper intends to provide the critical issues one has to keep in mind as well as the basic arrangements which have to be undertaken if one intends to use this dataset. To that extent, we propose some straightforward ways to deal with data comparability, consolidation, duplication of assets or mergers, and provide Stata codes to deal with it.","PeriodicalId":414983,"journal":{"name":"IRPN: Innovation & Finance (Topic)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":"{\"title\":\"Bankscope Dataset: Getting Started\",\"authors\":\"Thibaut Duprey, Mathias Lé\",\"doi\":\"10.2139/ssrn.2191449\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Bankscope dataset is a popular source of bank balance sheet informations among banking economists, which covers the last 20 years for more than 30,000 worldwide banks. This technical paper intends to provide the critical issues one has to keep in mind as well as the basic arrangements which have to be undertaken if one intends to use this dataset. To that extent, we propose some straightforward ways to deal with data comparability, consolidation, duplication of assets or mergers, and provide Stata codes to deal with it.\",\"PeriodicalId\":414983,\"journal\":{\"name\":\"IRPN: Innovation & Finance (Topic)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"35\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IRPN: Innovation & Finance (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2191449\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IRPN: Innovation & Finance (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2191449","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Bankscope dataset is a popular source of bank balance sheet informations among banking economists, which covers the last 20 years for more than 30,000 worldwide banks. This technical paper intends to provide the critical issues one has to keep in mind as well as the basic arrangements which have to be undertaken if one intends to use this dataset. To that extent, we propose some straightforward ways to deal with data comparability, consolidation, duplication of assets or mergers, and provide Stata codes to deal with it.
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