Table 5.
Country | Education | Results for models differentiated by means of controlling for need in 6 health domains
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Reported health category
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Latent health index from ordered probit
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Latent health index from HOPIT model
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Coefficient | SE‡ | Joint significance | Coefficient | SE | Joint significance | Coefficient | SE | Joint significance | ||
Restricted model with homogeneous education effects (1) | ||||||||||
Lower secondary | 0.004 | 0.132 | 0.049 | 0.027 | 0.139 | 0.103 | 0.091 | 0.135 | 0.319 | |
Upper secondary | 0.015 | 0.121 | 0.100 | 0.143 | 0.201 | 0.140 | ||||
Tertiary | −0.287§ | 0.129 | −0.186 | 0.128 | −0.044 | 0.132 | ||||
Unrestricted model with country-specific education effects (2) | ||||||||||
Belgium | Lower secondary | −0.718§§ | 0.436 | 0.401 | −0.754 | 0.525 | 0.783 | −0.627 | 0.550 | 0.647 |
Upper secondary | −0.337 | 0.454 | −0.404 | 0.484 | −0.234 | 0.495 | ||||
Tertiary | −0.508 | 0.450 | −0.437 | 0.498 | −0.221 | 0.530 | ||||
France | Lower secondary | −0.480 | 0.448 | 0.076 | −0.289 | 0.455 | 0.076 | −0.114 | 0.447 | 0.620 |
Upper secondary | −0.214 | 0.315 | −0.137 | 0.350 | 0.060 | 0.365 | ||||
Tertiary | −0.774§§ | 0.308 | −0.663§§ | 0.350 | −0.466 | 0.407 | ||||
Italy | Lower secondary | −0.120 | 0.340 | 0.599 | −0.087 | 0.374 | 0.237 | 0.033 | 0.394 | 0.488 |
Upper secondary or tertiary | 0.261 | 0.332 | 0.494 | 0.438 | 0.583 | 0.510 | ||||
Germany | Upper secondary | 0.085 | 0.431 | 0.201 | 0.174 | 0.500 | 0.842 | 0.313 | 0.506 | 0.622 |
Tertiary | −0.485 | 0.464 | −0.315 | 0.539 | −0.109 | 0.578 | ||||
Greece | Lower secondary | 0.617§§ | 0.339 | 0.017 | 0.503 | 0.427 | 0.002 | 0.722 | 0.623 | 0.464 |
Upper secondary | −0.413§§ | 0.213 | −0.317 | 0.233 | −0.263 | 0.244 | ||||
Tertiary | −0.215 | 0.250 | −0.063 | 0.299 | 0.012 | 0.346 | ||||
Netherlands | Lower secondary | 0.435 | 0.348 | 0.245 | 0.436 | 0.396 | 0.940 | 0.700 | 0.432 | 0.049 |
Upper secondary | 0.726§§ | 0.389 | 0.838§ | 0.401 | 1.293§ | 0.477 | ||||
Tertiary | 0.221 | 0.376 | 0.265 | 0.335 | 1.018§ | 0.482 | ||||
Spain | Lower secondary | 0.536 | 0.413 | 0.018 | 0.624 | 0.483 | 0.735 | 0.581 | 0.489 | 0.094 |
Upper secondary or tertiary | −0.691§ | 0.336 | −0.631 | 0.400 | −0.567 | 0.407 | ||||
Sweden | Lower secondary | 0.020 | 0.334 | 0.257 | −0.025 | 0.407 | 0.218 | 0.077 | 0.412 | 0.871 |
Upper secondary | 0.579§§ | 0.318 | 0.410 | 0.408 | 0.298 | 0.418 | ||||
Tertiary | 0.314 | 0.307 | 0.149 | 0.313 | 0.240 | 0.330 | ||||
Likelihood ratio tests, LR, of restricted (1) against unrestricted (2) model | ||||||||||
LR | Degrees of freedom | p-value | LR | Degrees of freedom | p-value | LR | Degrees of freedom | p-value | ||
36.91 | 20 | 0.0120 | 33.85 | 20 | 0.0272 | 36.33 | 20 | 0.0140 |
All models include controls for health in six domains, diagnosed chronic conditions, age, gender and country. The reference education category is primary school or less except for Germany. The first panel contains estimated education coefficients from a restricted model with no education–country interactions. The second panel contains country-specific education effects from a model with interactions. The ordered probit and HOPIT models which were used to predict the health indices include the same age, gender, education, country and education–country interactions, plus the health indicators listed in Table 4.
Bootstrap standard error.
Significance relative to the reference education category, which is the lowest, at 5%.
Significance relative to the reference education category, which is the lowest, at 10%.