TABLE 5.

Predictors of village-level sharing: Random effects terms from multilevel models capture village-level variation in giving intensity, sharing depth, breadth and contingency. Predictors include average income and village size on village-level variation. Village size may also proxy effects of inequality, average wealth, and distance to the market town (see Supplementary Table S5 for correlations among potential predictors). For contingency, the analysis was performed with and without the outlier in Figure 4. Reported are standardized coefficients from the best-fit linear regression models based on stepwise AIC selection, blank cells indicate that the predictor was not retained in the best-fit model. No intercepts were estimated because random effects have a mean of 0.

	Variance	Mean income	Village size
Giving intensity:
Random Intercept	0.29		0.43t
Produce income Slope	0.15
Wage income Slope	0.14	−0.23
Wealth Slope	0.10	0.53*	−0.36
Sharing depth:
Random Intercept	0.24
Produce income Slope	0.11
Wage income Slope	0.09	−0.30t
Wealth Slope	0.07
Sharing breadth:
Intercept	0.43
Wealth Slope	0.19
Contingency:
With outlier	0.008
Without outlier		−0.60**	0.40t

^tp<0.1,

^*p<0.05,

^**p<0.01,

^***p<0.001