{"title":"今天在匈牙利谁没有银行账户?","authors":"Dániel Horn, H. J. Kiss","doi":"10.2139/ssrn.3509811","DOIUrl":null,"url":null,"abstract":"Based on a representative sample, the study examines how regional variables and variables related to settlement type as well as demographic (gender, age), social (qualifications, income) and labour market characteristics (unemployment, public sector) and individual preferences (risk-taking and patience) are correlated with the fact that the respondent has a bank account or bank card or not. The authors find that having a bank account or bank card is not influenced by whether someone works in the public sector or not or by the individual’s gender, while the effect of the preferences depends on the financial service. The impact of the other variables (age, education, income, unemployment) is in line with expectations and is significant separately as well as if they are taken into account simultaneously. The analysis shows that regional impacts and ones related to settlement type are also significant.","PeriodicalId":149805,"journal":{"name":"Labor: Demographics & Economics of the Family eJournal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Who Does Not Have a Bank Account in Hungary Today?\",\"authors\":\"Dániel Horn, H. J. Kiss\",\"doi\":\"10.2139/ssrn.3509811\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on a representative sample, the study examines how regional variables and variables related to settlement type as well as demographic (gender, age), social (qualifications, income) and labour market characteristics (unemployment, public sector) and individual preferences (risk-taking and patience) are correlated with the fact that the respondent has a bank account or bank card or not. The authors find that having a bank account or bank card is not influenced by whether someone works in the public sector or not or by the individual’s gender, while the effect of the preferences depends on the financial service. The impact of the other variables (age, education, income, unemployment) is in line with expectations and is significant separately as well as if they are taken into account simultaneously. The analysis shows that regional impacts and ones related to settlement type are also significant.\",\"PeriodicalId\":149805,\"journal\":{\"name\":\"Labor: Demographics & Economics of the Family eJournal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Labor: Demographics & Economics of the Family eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3509811\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Labor: Demographics & Economics of the Family eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3509811","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Who Does Not Have a Bank Account in Hungary Today?
Based on a representative sample, the study examines how regional variables and variables related to settlement type as well as demographic (gender, age), social (qualifications, income) and labour market characteristics (unemployment, public sector) and individual preferences (risk-taking and patience) are correlated with the fact that the respondent has a bank account or bank card or not. The authors find that having a bank account or bank card is not influenced by whether someone works in the public sector or not or by the individual’s gender, while the effect of the preferences depends on the financial service. The impact of the other variables (age, education, income, unemployment) is in line with expectations and is significant separately as well as if they are taken into account simultaneously. The analysis shows that regional impacts and ones related to settlement type are also significant.