Table 4.
Decision to punish (0 = no; 1 = yes) | Punishment severity | |||||
---|---|---|---|---|---|---|
Laboratory | MTurk | Pooled | Laboratory | MTurk | Pooled | |
Target’s contribution | −0.181*** | −0.216*** | −0.203*** | −0.505*** | −0.717*** | −0.641*** |
(0.034) | (0.015) | (0.016) | (0.074) | (0.051) | (0.043) | |
Punisher’s contribution | −0.014 | 0.003 | −0.002 | −0.067 | −0.011 | −0.032 |
(0.034) | (0.026) | (0.022) | (0.106) | (0.074) | (0.063) | |
Mean contrib. others | 0.040 | 0.065** | 0.058*** | 0.136 | 0.228*** | 0.197*** |
(0.028) | (0.025) | (0.019) | (0.094) | (0.071) | (0.058) | |
Rec. punishment in t−1 | 0.090*** | 0.097** | 0.092*** | 0.310*** | 0.273** | 0.284*** |
(0.022) | (0.045) | (0.026) | (0.074) | (0.128) | (0.069) | |
Period | −0.126** | −0.102*** | −0.111*** | −0.311** | −0.280** | −0.289*** |
(0.056) | (0.037) | (0.031) | (0.143) | (0.110) | (0.088) | |
Final period | −0.633* | 0.524* | 0.150 | −1.014 | 2.401*** | 1.271 |
(0.336) | (0.294) | (0.266) | (1.220) | (0.888) | (0.780) | |
MTurk | −0.965*** | −2.631*** | ||||
(0.231) | (0.803) | |||||
Constant | 0.960* | −0.440 | 0.671** | 1.569 | −1.873* | 1.088 |
(0.496) | (0.290) | (0.310) | (1.533) | (1.105) | (1.008) | |
N | 2160 | 7440 | 9600 | 2160 | 7440 | 9600 |
Pseudo R2 | 0.285 | 0.321 | 0.322 | 0.142 | 0.203 | 0.189 |
Values in columns 1–3 reflect estimates from logistic models fitted to the decisions to punish (0: no deduction points assigned; 1: at least one deduction point assigned). Values in columns 3–6 reflect effect estimates from left-censored Tobit models fitted to the number of deduction points assigned. ‘Target’s contribution’ is the contribution of the punished participant; ‘Punisher’s contribution’ is the contribution of the participant punishing; ‘Average contribution others’ is the mean contribution of the other two members of the group; ‘Received punishment in t−1′ is the punishment amount received from others in the previous period; ‘Period’ is the period number; ‘Final period’ is a dummy for the last period; ‘MTurk’ is a dummy for the MTurk sample. Robust standard errors clustered on group
* p < 0.10; ** p < 0.05; *** p < 0.01