Table 2.
(a) | proposer offer (Indian rupees) |
|||
---|---|---|---|---|
fixed effect | β±s.e. | 95% BCIb | DICc | |
null models | ||||
intercept (single level) | 46.624±0.562*** | 45.506, 47.717 | 2590.199 | |
intercept (multilevel) | 46.928±1.031*** | 44.903, 49.037 | 2546.072 | |
full model (multilevel) | 2528.601 | |||
intercept | 45.888±1.853*** | 42.304, 49.607 | ||
proportion of non-Korwas | 13.821±7.256* | −1.045, 27.509 | ||
household size (individuals) | −0.400±0.213* | −0.819, 0.024 | ||
day on which game was played: day 2+ (ref: day 1) | 4.940±1.162*** | 2.658, 7.189 |
(b) | village-level |
individual-level |
||
---|---|---|---|---|
variance±s.e. | 95% BCIb | variance±s.e. | 95% BCIb | |
null model (multilevel) | 15.720±7.090 | 6.314, 33.725 | 91.781±7.310 | 78.660, 107.180 |
full model (multilevel) | 11.234±5.674 | 3.705, 25.155 | 87.018±6.873 | 74.694, 101.473 |
aFor the two multilevel models (null and full), fixed-effect parameters in each model are specified in table 2a, while table 2b presents the village- and individual-level variances in proposer offers for each model, respectively. For instance, in table 2a, the full model (multilevel) has four fixed effects including the intercept; for each fixed effect (column 1), the associated β-value (column 2) and its 95% BCIb (column 3) can be read in the corresponding row. The DICc value for the model is presented in column 4 of table 2a. The variance components for the full model (multilevel) can be read in the last row of table 2b; column 2 represents the village-level variance in proposer offers with its 95% BCIb (column 3), and column 4 represents the individual-level variance in proposer offers with its 95% BCIb (column 5). The fixed effect parameters for the single-level null model are presented in table 2a; this model does not have variance components.
bBayesian credible interval.
cDeviance Information Criterion.