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Group Identity and Social Preferences

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Dependent Variables Prob(B rewards A) Prob(B punishes A)Control Treatment Control Treatment(1) (2) (3) (4)Ingroup match 0.189 -0.128(0.028)*** (0.027)***A’s loss by entering to help B 0.592 0.298(0.203)*** (0.129)**B’s cost to reward A -0.705 -0.341(0.209)*** (0.131)***Benefit to A if B rewards -0.245 -0.144(0.168) (0.105)How much B’s payoff is behind A’s -0.115 -0.072if B rewards (0.055)** (0.026)***Damage to B due to A’s entry 0.018 -0.001(0.018) (0.009)B’s cost to punish A -0.271 -0.317(0.076)*** (0.049)***Damage to A if B punishes 0.040 0.042(0.019)** (0.009)***How much B’s payoff is ahead of A’s -0.170 -0.104if B punishes (0.069)** (0.029)***Constant 0.290 0.081 -0.212 -0.052(0.320) (0.180) (0.101)** (0.054)Observations 156 550 250 874Pseudo R-square 0.154 0.073 0.130 0.191Notes:1. (1) <strong>and</strong> (2) include Resp 5a, Resp 1a, Resp 2a, Resp 3, Resp 4, Resp 8 <strong>and</strong> Resp 9.2. (3) <strong>and</strong> (4) include Resp 2b, Resp 10, Resp 11, Resp 1b, Resp 6, Resp 7, Resp 12, Resp 13a-d.3. Coefficients are probability derivatives.4. Non-index variables are measured in unit of 100 tokens.5. St<strong>and</strong>ard errors in parentheses are clustered at the individual level.6. Significant at: * 10% level; ** 5% level; *** 1% level.Table 4: Logit Regression: Determinants of Reciprocity35

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