Binary logistic regression for finding a job using the Internet as the dependent variable_
| Model 1 | Model 2 | ||||
|---|---|---|---|---|---|
| Exp (B) | Sig. | Exp (B) | Sig. | ||
| Immigration (Ref. Non-immigrant) | Immigrant | 1.248*** | 0.001 | 1.269*** | 0.001 |
| Gender (Ref. = female) | Male | 1.095* | 0.066 | 1.094* | 0.070 |
| Subjective income (Ref. Coping with the monthly needs very easy/easy/fairly easy) | Coping with the monthly needs with difficulty/hard/very hard | 1.382*** | 0.000 | 1.420*** | 0.000 |
| Residence area (Ref. Rural) | Urban | 1.147** | 0.041 | 1.168** | 0.021 |
| Partner (Ref. Doesn’t have a partner) | Has a partner | 0.802*** | 0.000 | 0.789*** | 0.000 |
| Parental status (Ref. Doesn’t have children) | Has children | 0.773*** | 0.000 | 0.768*** | 0.000 |
| Age (Ref. 65 years old and over) | 18–24 years old | 46.287*** | 0.000 | 46.657*** | 0.000 |
| 25–34 years old | 30.514*** | 0.000 | 30.776*** | 0.000 | |
| 35–49 years old | 19.481*** | 0.000 | 19.885*** | 0.000 | |
| 50–64 years old | 11.215*** | 0.000 | 11.294*** | 0.000 | |
| Subjective health (Ref. Fair/Bad/Very bad) | Very good/Good | 0.883* | 0.059 | 0.915 | 0.181 |
| Education (Ref. Less than lower secondary level-ISCED 2 and below) | Upper secondary and post-secondary (ISCED 3–4) | 1.672*** | 0.000 | 1.714*** | 0.000 |
| Tertiary (ISCED 5 and over) | 2.593*** | 0.000 | 2.703*** | 0.000 | |
| Internet use (Ref. At least once a week or less) | Daily | 1.304*** | 0.011 | 1.241** | 0.039 |
| Digital economy and society index (1–100) | 1.054*** | 0.000 | |||
| Connectivity | 1.040*** | 0.000 | |||
| Human capital | 1.017** | 0.044 | |||
| Use of Internet | 1.001 | 0.883 | |||
| Integration of digital technologies | 1.028*** | 0.000 | |||
| Public digital services | 0.980*** | 0.000 | |||
| Constant | 000*** | 0.000 | 0.000*** | 0.000 | |
| Model notes: | Cox & Snell R square = 0.061 | Cox & Snell R square = 0.064 | |||
| Nagelkerke R square = 0.141 | Nagelkerke R square = 0.149 | ||||
| Chi-square = 1520.660, Sig = 0.000 | Chi-square = 1608.860, Sig = 0.000 | ||||
| N in model = 22,141 (total = 30,809) | N in model = 22,141 (total = 30,809) | ||||
| Df = 15 | Df = 19 | ||||