Table 2.
Multiple linear regression estimates for the HIL score
| German | French | Italian | |
|---|---|---|---|
| Female | 0.0492 (0.0171) | 0.0334 (0.0279) | 0.0276 (0.0432) |
| Age | 0.00337 (0.000616) | 0.00321 (0.00104) | 0.00196 (0.00154) |
| Non-Swiss | −0.0482 (0.0377) | −0.0809* (0.0462) | −0.106* (0.0595) |
| Monthly income in CHF (base: <4500) | |||
| 4500–5999 | 0.0136 (0.0231) | −0.0216 (0.0355) | 0.0165 (0.0596) |
| 6000–8999 | 0.0685 (0.0268) | 0.0103 (0.0413) | 0.0640 (0.0717) |
| ≥9000 | 0.0419* (0.0221) | −0.0407 (0.0367) | 0.0143 (0.0513) |
| Tertiary education | 0.0253 (0.0177) | −0.0143 (0.0294) | 0.0286 (0.0484) |
| Number of doctor visits | 0.00570 (0.00171) | 0.00587 (0.00227) | −0.00464 (0.00383) |
| Financial risk | 0.0440 (0.00824) | 0.0520 (0.0124) | 0.0536 (0.0186) |
| Time preferences | −0.00767 (0.00871) | −0.000273 (0.0118) | −0.0465 (0.0218) |
| Constant | 2.556 (0.0521) | 2.321 (0.142) | 2.587 (0.146) |
|
| |||
| Observations | 3903 | 1455 | 678 |
| R-squared | 0.030 | 0.046 | 0.130 |
| Adjusted R2 | 0.0211 | 0.0291 | 0.0895 |
Source: Swiss Health Insurance Literacy Survey 2021. Notes: The table shows the estimated coefficients from linear regressions per language groups. Robust standard errors in parentheses. Other controls included: 26 canton dummies.
*** P < 0.01, ** P < 0.05, * P <0.1.