We then proceed with a regression analysis. Results are shown in table 1. We regress the amount of coins appropriated by dictators on the dummy $treated$—that is, equal to 1 for participants in the sample who experienced the land tenure reform—and a set of sociodemographic controls.¹⁴ Model 1 implements an OLS regression. Standard errors are clustered at the village level, and we use wild cluster bootstrap with 999 replications to resample with the sixteen clusters (Cameron, Gelbach, & Miller, 2008). The coefficient of the treatment dummy is negative and statistically significant at the 1% level, suggesting that participants in the treated sample take significantly less than those in the control sample. In model 2, we replicate the same specification but for using a censored tobit regression to account for a mass point at zero coins taken and implementing score bootstrap with 999 replications. The result remains significant at the 1% level, confirming that participants who experienced the reform appropriate significantly less of the passive player's endowment than those in the control group.¹⁵ Point estimates suggest that experiencing the reform on average determines a 40% to 60% reduction of the passive players' endowment appropriated by the dictators.