Table 5.
Predicted number of migrants under various climate conditions (Specification G, predicted values and standard errors).
| Country | Precipitation anomaly |
Temperature anomaly | |||||
|---|---|---|---|---|---|---|---|
| 0.00 | 0.75 | 1.50 | |||||
| Kenya | −1.00 | 0.12 | (0.04) | 0.03 | (0.01) | 0.16 | (0.05) |
| 0.25 | 0.21 | (0.07) | 0.04 | (0.00) | 0.13 | (0.05) | |
| 1.50 | 0.37 | (0.15) | 0.05 | (0.02) | 0.12 | (0.09) | |
| Uganda | −1.00 | 0.05 | (0.08) | 0.02 | (0.01) | 0.07 | (0.02) |
| 0.25 | 0.05 | (0.04) | 0.02 | (0.00) | 0.07 | (0.03) | |
| 1.50 | 0.07 | (0.04) | 0.03 | (0.01) | 0.08 | (0.12) | |
| Nigeria | −1.00 | 0.24 | (0.19) | 0.01 | (0.01) | 0.06 | (0.07) |
| 0.25 | 0.13 | (0.10) | 0.02 | (0.00) | 0.34 | (0.48) | |
| 1.50 | 0.10 | (0.07) | 0.05 | (0.01) | 2.73 | (4.61) | |
| Burkina Faso | −1.00 | 0.20 | (0.36) | 0.09 | (0.07) | 0.06 | (0.03) |
| 0.25 | 0.12 | (0.04) | 0.04 | (0.00) | 0.02 | (0.01) | |
| 1.50 | 0.14 | (0.02) | 0.04 | (0.02) | 0.02 | (0.02) | |
| Senegal | −1.00 | 0.03 | (0.02) | 0.06 | (0.02) | 0.04 | (0.03) |
| 0.25 | 0.04 | (0.02) | 0.07 | (0.01) | 0.04 | (0.01) | |
| 1.50 | 0.04 | (0.02) | 0.07 | (0.01) | 0.04 | (0.02) | |
Predicted number of migrants under various climate conditions with mean values of the other predictors from a model in which rainfall and temperature effects are allowed to be nonlinear and interact.