Treatment effects (control vs voice)a
| Dependent variable compliance | |
|---|---|
| Voice | 0.546* (0.332) |
| Age | 0.485 (0.933) |
| Female | −0.551 (0.353) |
| Education | −0.621* (0.322) |
| Income | 0.011 (0.092) |
| Fees | −0.084 (0.101) |
| Honesty | 0.128 (0.741) |
| Emotional | 1.085* (0.615) |
| Religiosity | 0.073 (0.518) |
| Constant | 0.568 (1.474) |
| Pseudo R2 | 0.093 |
| Classification | 68.7% |
| χ2 | 12.827 |
| Dependent variable compliance | |
|---|---|
| 0.546* (0.332) | |
| 0.485 (0.933) | |
| −0.551 (0.353) | |
| −0.621* (0.322) | |
| 0.011 (0.092) | |
| −0.084 (0.101) | |
| 0.128 (0.741) | |
| 1.085* (0.615) | |
| 0.073 (0.518) | |
| Constant | 0.568 (1.474) |
| Pseudo | 0.093 |
| Classification | 68.7% |
| 12.827 |
Note(s): Numbers reported in the table represent logistic coefficients
Robust standard errors in parentheses; *p < 0.1
aDependent variable (compliance) is a binary variable that takes the value of 1 if the participant reported the problem and 0 otherwise. Accordingly, we decided that a binary logistic regression model will be the most suitable for our data set
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