Table 3.
Results of the regression analysis
| Regressor | Breast cancer | Cervical cancer |
|---|---|---|
| screening | Screening | |
| Per 100 | Per 100 | |
| inhabitants | Inhabitants | |
| % Persons, Female, aged 55–59 over 50–69 | 2.29 | – |
| (1.07) | ||
| % Persons, Female, aged 60–64 over 50–69 | 1.79 | – |
| (0.93) | ||
| % Persons, Female, aged 65–69 over 50–69 | 1.42 | – |
| (1.01) | ||
| Time effect | 0.87 | |
| (0.566) | ||
| R 2 | 0.954 | |
| Countries | 16 | |
| Average obs.per country | 8.9 | |
| % Persons, Female, aged 30–39 over 20–69 | – | 5.18* |
| (1.11) | ||
| % Persons, Female, aged 40–49 over 20–69 | – | 3.46* |
| (1.16) | ||
| % Persons, Female, aged 50–59 over 20–69 | – | 3.29 |
| (2.05) | ||
| % Persons, Female, aged 60–69 over 20–69 | – | 1.9 |
| (1.93) | ||
| Time effect | 1.77 | |
| (0.081) | ||
| R 2 | 0.942 | |
| Countries | 13 | |
| Average obs. per country | 8.2 | |
| Mean income of households (€ in thousands) | 1.36 | 0.61 |
| (0.83) | (1.01) | |
| Time effect | 0.68 | 1.1 |
| (0.741) | (0.372) | |
| R 2 | 0.95 | 0.901 |
| Countries | 14 | 13 |
| Average obs. per country | 8.4 | 8.4 |
| Gini index (%) | 0.35 | 1.52* |
| (0.22) | (0.35) | |
| Time effect | 1.52 | 1.36 |
| (0.145) | (0.216) | |
| R 2 | 0.943 | 0.89 |
| Countries | 16 | 14 |
| Average obs. per country | 7.5 | 7.6 |
| Preventive Care All Financing Scheme ($) | 0.0 | −0.05 |
| (0.03) | (0.04) | |
| Time effect | 1.7 | 1.41 |
| (0.089) | (0.185) | |
| R 2 | 0.938 | 0.891 |
| Countries | 16 | 14 |
| Average obs. per country | 8.6 | 8.9 |
| Preventive Care Government and Compulsory insurance schemes ($) | −0.07 | − 0.15 |
| (0.05) | (0.09) | |
| Time effect | 2.37 | 2.3 |
| (0.014) | (0.018) | |
| R 2 | 0.939 | 0.899 |
| Countries | 16 | 14 |
| Average obs. per country | 8.6 | 8.9 |
| Educational attainment level % Female, 20–24 years, | – | 0.06 |
| Education levels 3–8 | 0.15 | |
| Time effect | 1.65 | |
| (0.103) | ||
| R 2 | 0.902 | |
| Countries | 14 | |
| Average obs. per country | 9.1 | |
| Educational attainment level % Female, 25–34 years, | – | −0.31 |
| Education levels 3–8 | (0.45) | |
| Time effect | 1.46 | |
| (0.165) | ||
| R 2 | 0.896 | |
| Countries | 14 | |
| Average obs. per country | 9.7 | |
| Educational attainment level % Female, 35–44 years, | – | −0.36 |
| Education levels 3–8 | (0.29) | |
| Time effect | 1.76 | |
| 0.076 | ||
| R 2 | 0.898 | |
| Countries | 14 | |
| Average obs. per country | 9.7 | |
| Educational attainment level % Female, 45–54 years, | −0.19 | 0.11 |
| Education levels 3–8 | (0.27) | 0.24 |
| Time effect | 1.72 | 0.61 |
| (0.083) | (0.800) | |
| R 2 | 0.942 | 0.894 |
| Countries | 16 | 14 |
| Average obs. per country | 9.7 | 9.7 |
| Educational attainment level % Female, 55–64 years, | −0.56 | −0.09 |
| Education levels 3–8 | (0.32) | 0.26 |
| Time effect | 4.17 | 0.82 |
| (< 0.001) | (0.610) | |
| R 2 | 0.949 | 0.894 |
| Countries | 16 | 14 |
| Average obs. per country | 9.7 | 9.7 |
| Unemployment, % of female labour force | 0.09 | 0.3 |
| (0.39) | (0.34) | |
| Time effect | 0.53 | 0.99 |
| (0.814) | (0.446) | |
| R 2 | 0.863 | 0.896 |
| Countries | 16 | 14 |
| Average obs. per country | 7.2 | 7.4 |
| Self-employed, % of female employment | 0.75 | −0.13 |
| (0.94) | (0.98) | |
| Time effect | 0.48 | 1.35 |
| (0.850) | 0.24 | |
| R 2 | 0.963 | 0.896 |
| Countries | 16 | 14 |
| Average obs. per country | 7.2 | 7.4 |
Notes: Robust standard errors are given in parentheses under the coefficients, and p-values are given in parentheses under the F-statistics of time effect. The individual coefficient with an asterisk (*) is significant at the 5% level