Table 1

Birth year effects on generalized trust of managers and non-managers

Dependent = generalized trustManagersGeneral population/non-managersAll individuals (managers and non-managers/general population)
Model 1Model 2Model 3Model 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 education0.066 (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 degreeYesYesYesYes
Country fixed effectsYesYesYesYes
Obs1,30,0833,18,8624,48,9454,48,945
-2Loglikelihood335944.6823930.81157860.01157803.5

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

Source(s): Author’s own work

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