Table 2.

Probit regressions on the determinants of Return choices

Dep. var.: Return (0, 1)	(1)		(2)		(3)
Restoring probability ($\lambda$)	3.022** (1.165)		3.490** (1.218)		3.381** (1.272)
Recipient’s expectation ($\beta$)	5.933* (2.459)		7.244** (2.553)		7.754** (2.820)
Restoring probability $\times$ recipient’s expectation	− 6.712* (2.889)		− 8.162** (2.965)		− 7.622* (3.253)
Dictator expectation					1.590** (0.586)
Recipient’s expectation > Dictator expectation					− 0.886* (0.443)
Subject’s characteristics
Italian			− 0.559 (0.376)		− 0.506 (0.374)
Male			− 0.270 (0.231)		− 0.288 (0.218)
Experienced			0.184 (0.274)		− 0.184 (0.278)
Working student			− 0.0325 (0.123)		− 0.0789 (0.107)
_cons	− 3.345** (1.034)		− 3.266** (1.139)		− 3.577** (1.101)
$N$	180		180		180

Results from Probit regressions are reported. The unit of observation is a dictator’s choice. Individual-level clustered robust standard errors are in parentheses. ${}^{\circ }p<0.1$, $\ast p<0.05$, $\ast \ast p<0.01$, $\ast \ast \ast p<0.001$