Birth year effects on generalized trust of managers and non-managers
| Dependent = generalized trust | Managers | General population/non-managers | All individuals (managers and non-managers/general population) | |
|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 4 | |
| Birth year | −0.045 (0.004) [p = 0.000] | −0.025 (0.002) [p = 0.000] | −0.029 (0.003) [p = 0.000] | −0.023 (0.002) [p = 0.000] |
| Birth year * Manager (0/1) | – | – | – | −0.024 (0.003) [p = 0.000] |
| Manager (1 = yes) | – | – | 0.014 (0.003) [p = 0.000] | 0.013 (0.003) [p = 0.000] |
| Female (1 = yes) | −0.014 (0.005) [p = 0.006] | −0.022 (0.003) [p = 0.000] | −0.021 (0.003) [p = 0.000] | −0.020 (0.003) [p = 0.000] |
| Years of education | 0.066 (0.004) [p = 0.000] | 0.073 (0.003) [p = 0.000] | 0.072 (0.002) [p = 0.000] | 0.072 (0.002) [p = 0.000] |
| Educational degree | Yes | Yes | Yes | Yes |
| Country fixed effects | Yes | Yes | Yes | Yes |
| Obs | 1,30,083 | 3,18,862 | 4,48,945 | 4,48,945 |
| -2Loglikelihood | 335944.6 | 823930.8 | 1157860.0 | 1157803.5 |
| Dependent = generalized trust | Managers | General population/non-managers | All individuals (managers and non-managers/general population) | |
|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 4 | |
| Birth year | −0.025 (0.002) [ | −0.029 (0.003) [ | −0.023 (0.002) [ | |
| Birth year * Manager (0/1) | – | – | – | |
| Manager (1 = yes) | – | – | 0.014 (0.003) [ | 0.013 (0.003) [ |
| Female (1 = yes) | −0.014 (0.005) [ | −0.022 (0.003) [ | −0.021 (0.003) [ | −0.020 (0.003) [ |
| Years of education | 0.066 (0.004) [ | 0.073 (0.003) [ | 0.072 (0.002) [ | 0.072 (0.002) [ |
| Educational degree | Yes | Yes | Yes | Yes |
| Country fixed effects | Yes | Yes | Yes | Yes |
| Obs | 1,30,083 | 3,18,862 | 4,48,945 | 4,48,945 |
| -2Loglikelihood | 335944.6 | 823930.8 | 1157860.0 | 1157803.5 |
Note(s): Table reports results for multilevel models with individuals cross-classified by age and period. Standard errors are in parentheses and p-values are in square brackets. The dependent variable and continuous independent variable are standardized (μ = 0; SD = 1). Figure A1 in the appendix presents a graphical depiction of the estimated trends among managers compared to non-managers based on Model 4. To save space, the table reports a selection of coefficients, but complete results as well as a replication package are available on request
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