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. Author manuscript; available in PMC: 2011 Sep 19.
Published in final edited form as: J R Stat Soc Ser A Stat Soc. 2011 Jul;174(3):639–664. doi: 10.1111/j.1467-985X.2011.00706.x

Table 5.

Education effects on propensity for any visit to a GP—logit coefficient estimates from the first part of the hurdle model, pooled cross-country sample (N =4098)

Country Education Results for models differentiated by means of controlling for need in 6 health domains
Reported health category
Latent health index from ordered probit
Latent health index from HOPIT model
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%.