Table 5.
Dependent variable: dummy for whether the recipient awarded CHF 0 to the allocator |
|||
---|---|---|---|
(1) Give to me | (2) Give to other | (3) Randomize | |
Equal | 0.53*** | 0.62*** | 0.66*** |
(0.05) | (0.05) | (0.05) | |
Poor | 0.53*** | 0.57*** | 0.69*** |
(0.05) | (0.05) | (0.05) | |
Rich | 0.53*** | 0.66*** | 0.71*** |
(0.05) | (0.05) | (0.05) | |
Mean of dep. variable | 0.53 | 0.62 | 0.69 |
F stat: equal = poor | 0.01 | 3.42 | 0.47 |
p value | 0.91 | 0.07* | 0.50 |
F stat: equal = rich | 0.00 | 1.30 | 1.88 |
p value | 1.00 | 0.26 | 0.18 |
F stat: poor = rich | 0.01 | 4.89 | 0.31 |
p value | 0.93 | 0.03** | 0.58 |
Observations | 840 | 840 | 840 |
Proportions of trials in which recipients awarded CHF 0 to the allocator. “Equal” is an indicator that the recipients had equal wealth, “Poor” and “Rich” are indicators that the recipient was relatively poor or relatively rich, respectively. Regressions are run without a constant term such that all coefficients directly capture proportions of trials. Standard errors are clustered at the participant level. F statistics and corresponding p values from Wald tests of coefficient equality between β1 and β2, β1 and β3, as well as β2 and β3 are reported in the lower panel of the table.
Significant at the 10% confidence level,
significant at the 5% confidence level,
significant at the 1% confidence level