Table 3. Multinomial logistic estimation for concordance between cognition measures.
| Overestimating | SE | Underestimating | SE | |
|---|---|---|---|---|
| Country (Ref: Slovenia) | ||||
| Austria | -0.613*** | 0.066 | -0.386*** | 0.053 |
| Belgium | -0.392*** | 0.062 | 0.090 | 0.049 |
| Czechia | -0.854*** | 0.066 | 0.251*** | 0.047 |
| Denmark | -0.654*** | 0.076 | -0.264*** | 0.058 |
| Estonia | -0.690*** | 0.067 | 1.075*** | 0.045 |
| France | -0.339*** | 0.061 | 0.332*** | 0.048 |
| Germany | -0.473*** | 0.071 | 0.029 | 0.052 |
| Hungary | -0.287*** | 0.086 | 0.495*** | 0.059 |
| Italy | -0.325*** | 0.062 | 0.036 | 0.051 |
| Luxembourg | -0.124 | 0.100 | -0.429*** | 0.087 |
| Netherlands | -0.622*** | 0.069 | -0.499*** | 0.058 |
| Poland | -0.072 | 0.098 | 0.201** | 0.077 |
| Portugal | -0.133 | 0.093 | 0.583*** | 0.068 |
| Spain | -0.165** | 0.059 | 0.058 | 0.049 |
| Sweden | -0.686*** | 0.073 | 0.235*** | 0.051 |
| Switzerland | -0.822*** | 0.076 | -0.365*** | 0.058 |
| Age (Ref: 60–64) | ||||
| 50–54 | -0.258*** | 0.056 | -0.247*** | 0.032 |
| 55–59 | -0.196*** | 0.049 | -0.113*** | 0.027 |
| 65–69 | 0.162*** | 0.045 | 0.111*** | 0.026 |
| 70–74 | 0.526*** | 0.044 | 0.321*** | 0.028 |
| 75–79 | 0.885*** | 0.045 | 0.386*** | 0.030 |
| 80–84 | 1.095*** | 0.047 | 0.288*** | 0.035 |
| 85–89 | 1.182*** | 0.056 | 0.032 | 0.048 |
| 90–94 | 1.297*** | 0.085 | -0.099 | 0.089 |
| Women | -0.290*** | 0.025 | 0.091*** | 0.017 |
| Education (Ref: Medium) | ||||
| Low | 0.644*** | 0.031 | 0.240*** | 0.020 |
| High | -0.445*** | 0.043 | -0.308*** | 0.024 |
| Wave 5 | -0.127*** | 0.024 | 0.116*** | 0.015 |
| Constant | -2.202*** | 0.059 | -1.653*** | 0.046 |
| N | 113,812 | Pseudo R2 | 0.055 | |
Note: The dependent variable is a three-category variable that indicates if an individual achieved concordance (reference category), overestimated or underestimated his or her health. Coefficients are given in log odds, standard errors are clustered at the individual level,
*p<0.05,
**p<0.01,
***p<0.001