Descriptive statistics (n = 1,457)
| Variable | No. | % |
|---|---|---|
| Age | ||
| 30–40 years old | 549 | 37.7 |
| 41–50 years old | 295 | 20.3 |
| 51–60 years old | 438 | 30.1 |
| 61–70 years old | 132 | 9.1 |
| > 70 years old | 41 | 2.8 |
| Gender | ||
| Female | 713 | 49.0 |
| Male | 741 | 50.9 |
| Non-Binary | 1 | 0.1 |
| Marital status | ||
| I live with parents | 108 | 7.4 |
| I live alone | 291 | 20.0 |
| We are a married couple without children | 282 | 19.4 |
| We are a married couple with children | 659 | 45.3 |
| I live with young or older children still at home (I do not live as a couple) | 71 | 4.9 |
| I live with my son’s /daughter’s families | 9 | 0.6 |
| I live with other people (friends. other relatives. colleagues… | 35 | 2.4 |
| Education | ||
| Elementary school | 26 | 1.8 |
| Middle school | 127 | 8.7 |
| High school/college | 609 | 41.9 |
| Bachelor degree | 195 | 13.4 |
| Master degree | 379 | 26.0 |
| PhD/M.B.A | 119 | 8.2 |
| Professional status | ||
| Full-Time | 1051 | 72.2 |
| Part-Time | 193 | 13.3 |
| Stay at home | 73 | 5.0 |
| Retired | 95 | 6.5 |
| Disabled/unable to work | 3 | 0.2 |
| Unemployed | 40 | 2.7 |
| Income | ||
| Less than €10.000 | 87 | 6.0 |
| €10.000 - €20.000 | 339 | 23.3 |
| €20.000 - €40.000 | 577 | 39.7 |
| €40.000 - €80.000 | 259 | 17.8 |
| €80.000 or more | 65 | 4.5 |
| Prefer not to say | 128 | 8.8 |
| Purchases on e-commerce websites | ||
| At least once a week | 141 | 9.7 |
| 1 time every 15 days | 247 | 17.0 |
| 1 time per month | 360 | 24.7 |
| 1 time every 2–3 months | 364 | 25.0 |
| 1 time every 6 months | 135 | 9.3 |
| Only 1 time | 47 | 3.2 |
| Never | 161 | 11.1 |
| Buy now pay later Users | ||
| Yes | 175 | 12.0 |
| No | 1280 | 88.0 |
| Buy now pay later Prospects | ||
| Yes | 489 | 33.6 |
| No | 966 | 66.4 |
| Financial literacy score | ||
| Poor Financial Literacy (From 0–1 Correct Answers) | 340 | 23.4 |
| Medium Financial Literacy (From 2–3 Correct Answers) | 506 | 34.8 |
| High Financial Literacy (Over 4 Correct Answers) | 609 | 41.9 |
| Variable | No. | % |
|---|---|---|
| 30–40 years old | 549 | 37.7 |
| 41–50 years old | 295 | 20.3 |
| 51–60 years old | 438 | 30.1 |
| 61–70 years old | 132 | 9.1 |
| > 70 years old | 41 | 2.8 |
| Female | 713 | 49.0 |
| Male | 741 | 50.9 |
| Non-Binary | 1 | 0.1 |
| I live with parents | 108 | 7.4 |
| I live alone | 291 | 20.0 |
| We are a married couple without children | 282 | 19.4 |
| We are a married couple with children | 659 | 45.3 |
| I live with young or older children still at home (I do not live as a couple) | 71 | 4.9 |
| I live with my son’s /daughter’s families | 9 | 0.6 |
| I live with other people (friends. other relatives. colleagues… | 35 | 2.4 |
| Elementary school | 26 | 1.8 |
| Middle school | 127 | 8.7 |
| High school/college | 609 | 41.9 |
| Bachelor degree | 195 | 13.4 |
| Master degree | 379 | 26.0 |
| PhD/M.B.A | 119 | 8.2 |
| Full-Time | 1051 | 72.2 |
| Part-Time | 193 | 13.3 |
| Stay at home | 73 | 5.0 |
| Retired | 95 | 6.5 |
| Disabled/unable to work | 3 | 0.2 |
| Unemployed | 40 | 2.7 |
| Less than €10.000 | 87 | 6.0 |
| €10.000 - €20.000 | 339 | 23.3 |
| €20.000 - €40.000 | 577 | 39.7 |
| €40.000 - €80.000 | 259 | 17.8 |
| €80.000 or more | 65 | 4.5 |
| Prefer not to say | 128 | 8.8 |
| At least once a week | 141 | 9.7 |
| 1 time every 15 days | 247 | 17.0 |
| 1 time per month | 360 | 24.7 |
| 1 time every 2–3 months | 364 | 25.0 |
| 1 time every 6 months | 135 | 9.3 |
| Only 1 time | 47 | 3.2 |
| Never | 161 | 11.1 |
| Yes | 175 | 12.0 |
| No | 1280 | 88.0 |
| Yes | 489 | 33.6 |
| No | 966 | 66.4 |
| Poor Financial Literacy (From 0–1 Correct Answers) | 340 | 23.4 |
| Medium Financial Literacy (From 2–3 Correct Answers) | 506 | 34.8 |
| High Financial Literacy (Over 4 Correct Answers) | 609 | 41.9 |
“No.” Stands for number of observations for each class for each variable. “Relative %” is the relative percentage of each class for each variable. Regarding the income variable, the option “Prefer not to say” was omitted from the regression analyses and structural equations model presented in Tables 5 and 6 to avoid abnormal fluctuations in the values of the average and thus the standard deviation
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