Research Article
The Restriction Factors and Mechanism Analysis Model Design of the Commercial Serious Disease Insurance in Connection with Serious Disease Insurance
Table 6
Logistic regression results of intrinsic-extrinsic factors between commercial critical illness insurance and serious disease insurance.
| | | Coefficient estimate | df | The odds ratio |
| | Age | 0.643 (0.003) | 1 | 1.902 | | Degree of education | 0.539 (0.002) | 1 | 1.714 | | Invisible restrictions | 0.564 (0.008) | 1 | 1.757 | | Rules of operation | 0.209 (0.038) | 1 | 1.233 | | Household incomes per capita | 0.575 (0.002) | 1 | 1.776 | | Public value recognition | −0.779 (0.000) | 1 | 0.459 | | Fusion situation | 0.391 (0.013) | 1 | 1.478 | | Settlement linkage | 0.275 (0.046) | 1 | 1.317 | | Information mastery | −0.600 (0.000) | 1 | 0.549 | | Products design | −0.548 (0.001) | 1 | 0.578 | | Number of children | 0.409 (0.013) | 1 | 1.505 | | Health condition | 0.760 (0.000) | 1 | 2.139 | | Sex | 0.752 (0.001) | 1 | 2.121 | | Constant | −5.814 (0.000) | 1 | 0.003 | | Likelihood ratio test | 195.739 (0.000) | 13 | — | | The Hosmer and Lemeshow tests were performed | 13.071 (0.409) | 8 | — |
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Note. value in parentheses; and are significant at 1% and 5% levels, respectively. |
