The Financial Literacy among Czech Adults in the Czech Republic
| Authors | |
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| Year of publication | 2020 |
| Type | Article in Proceedings |
| Conference | Proceedings of 12th International Scientific Conference |
| MU Faculty or unit | |
| Citation | |
| Keywords | financial literacy; Czech Republic; financial education; t-test; ANOVA |
| Description | Financial education is becoming a more important part of science when talking about finance and economics. According to some studies financially literate person is supposed to be a basic condition for a successful economy. (OECD, 2015) With the increasing importance of this phenomenon, it is also crucial to run various studies dedicated to measuring of financial literacy level, determination advantages and disadvantages of various educational programs (devoted to the financial education) and most importantly search for possible improvements of the lower level of financial literacy among the population. The goal of this study is to provide results concerning a study in progress; run in the Czech Republic. In this particular research, the main target audience is young Czech adults. The data shows that among young citizens of the Czech Republic, gender plays an important role when it comes to the financial literacy level in favour of males (who reached higher level of the literacy). Consequently, level of education was also a valid indicator of the financial literacy level. Last but not least, whether a respondent is working or/and studying is also an important factor of the financial literacy level. On average, working students have reached higher level of the financial literacy comparing to non-working students and working people (who are not students at the same time). On the other hand, among Czech adults is not a significant difference between people from villages and small cities and people from bigger cities, where citizens usually get easier access to formal and informal education. Concerning the used methodology, this study is based on descriptive statistics as a basic tool for comparison and initial insight into the data file, further on t-tests allowing parametric comparisons of various data groups and the method analysis of variance (ANOVA). |
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