Table 4. Ordered Logistic Regression for economic perceptions influencing general level of worry.
| Variables | Model A | Model B | Model C | Odds ratio Model A | Odds ratio Model B | Odds ratio Model C |
|---|---|---|---|---|---|---|
| Worry | ||||||
| Age | 0.0429 (0.247) | 0.0380 (0.281) | 1.044 (0.247) | 1.039 (0.281) | ||
| Sex | ||||||
| Male | -0.148 (0.5) | -0.115 (0.59) | 0.863 (0.5) | 0.891 (0.59) | ||
| Study level | ||||||
| Postgraduate | -0.268 (0.558) | -0.183 (0.68) | 0.765 (0.558) | 0.833 (0.68) | ||
| Study area | ||||||
| Social Sciences | -0.319 (0.282) | -0.297 (0.306) | 0.727 (0.282) | 0.743 (0.306) | ||
| Applied Sciences | -0.306 (0.26) | -0.326 (0.226) | -0.204 (0.294) | 0.737 (0.26) | 0.722 (0.226) | 0.815 (0.294) |
| Community type | ||||||
| Urban | 0.138 (0.708) | 0.000986 (0.998) | 1.148 (0.708) | 1.001 (0.998) | ||
| Suburban | 0.457 (0.313) | 0.318 (0.473) | 0.389 (0.186) | 1.580 (0.313) | 1.375 (0.473) | 1.475 (0.186) |
| Economic status | ||||||
| Below average | 0.0976 (0.701) | 0.170 (0.49) | 1.102 (0.701) | 1.186 (0.49) | ||
| Above average | 0.196 (0.652) | 0.104 (0.807) | 1.217 (0.652) | 1.109 (0.807) | ||
| Job | ||||||
| Full-time | -0.206 (0.702) | -0.153 (0.769) | 0.813 (0.702) | 0.858 (0.769) | ||
| Part-time | -0.438 * (0.065) | -0.433 * (0.063) | -0.370 * (0.089) | 0.646 * (0.065) | 0.648 * (0.063) | 0.691 * (0.089) |
| Energy prices | 0.164 (0.218) | 0.222 * (0.057) | 0.283 *** (0.005) | 1.179 (0.218) | 1.248 * (0.057) | 1.327 *** (0.005) |
| Essential goods prices | 0.110 (0.439) | 1.116 (0.439) | ||||
| Essential services prices | 0.0335 (0.807) | 1.034 (0.807) | ||||
| Luxury goods prices | 0.0481 (0.703) | 1.049 (0.703) | ||||
| Luxury services prices | -0.0144 (0.901) | 0.986 (0.901) | ||||
| Stock market crash | 0.0255 (0.861) | 0.0934 (0.463) | 1.026(0.861) | 1.098 (0.463) | ||
| Inflation | 0.148 (0.391) | 0.0569 (0.692) | 1.159 (0.391) | 1.059 (0.692) | ||
| Taxes | -0.116 (0.498) | 0.891 (0.498) | ||||
| Unemployment | -0.378 ** (0.011) | 0.685 ** (0.011) | ||||
| Saturation EU labor force | 0.128 (0.362) | 1.137 (0.362) | ||||
| Limited international trade | 0.290 * (0.086) | 1.336 * (0.086) | ||||
| Supply chain problems | -0.0996 (0.527) | 0.0791 (0.564) | 0.905 (0.527) | 1.082 (0.564) | ||
| Poverty | 0.297 * (0.086) | 0.168 (0.302) | 0.281 *** (0.008) | 1.346 * (0.086) | 1.183 (0.302) | 1.324 *** (0.008) |
| Corruption | -0.0271 (0.853) | -0.0408 (0.769) | 0.973 (0.853) | 0.960 (0.769) | ||
| Crypto market crash | 0.122 (0.223) | 1.130 (0.223) | ||||
| Cut1 | -0.547 (0.960) | -1.066 (0.919) | -1.643 *** (0.513) | 0.579 (0.555) | 0.344 (0.316) | 0.193 *** (0.0992) |
| Cut2 | 0.915 (0.927) | 0.364 (0.883) | -0.211 (0.451) | 2.496 (2.314) | 1.440 (1.271) | 0.810 (0.365) |
| Cut3 | 2.646 *** (0.929) | 2.050 ** (0.884) | 1.466 *** (0.454) | 14.10 *** (13.10) | 7.767 ** (6.866) | 4.332 *** (1.967) |
| Cut4 | 5.258 *** (0.964) | 4.581 *** (0.913) | 3.968 *** (0.494) | 192.1 *** (185.2) | 97.57 *** (89.11) | 52.88 *** (26.12) |
| Observations | 385 | 385 | 385 | 385 | 385 | 385 |
| Pseudo R-squared | 0.0557 | 0.0375 | 0.0324 | |||
| Log Likelihood value | -463.4 | -472.3 | -474.8 | |||
| Degrees of freedom | 26 | 17 | 5 | |||
| Chi-squared | 54.69 | 36.83 | 31.78 |
Note: The section of cuts represents the estimated threshold parameters of the latent variable. For instance, cut one is the cutoff point that separates the response “Not at all” from “Slightly” feeling worried. For the stepwise selection process, covariates are eliminated based on a predefined significance threshold level: the alpha-to-drop is set to 0.3. P-values in parentheses for coefficients and Standard errors for cutoffs.
***
p < 0.01.
**
p < 0.05.
*
p < 0.1.