Table 2.
Random effects multilevel models (MLM-RE)
| 3. Threshold 1000 |
4. Threshold 1000 with covariates |
5. Threshold 25 |
6. Threshold 25 with covariates |
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| Fixed Part | Estimate | SE | Estimate | SE | Estimate | SE | Estimate | SE |
| (Intercept) | 9.668 | 8.248 | 5.916 | 6.058 | −9.598 | 10.159 | 4.144 | 6.187 |
| Temp B | 0.384 | 1.557 | −0.068 | 1.171 | 1.129 | 2.691 | 0.342 | 0.233 |
| Temp W | 0.045* | 0.023 | 0.026 | 0.022 | 0.051 | 0.041 | 0.030 | 0.032 |
| Tempt−1, B | −0.392 | 1.561 | 0.061 | 1.173 | −1.131 | 2.697 | −0.342 | 0.233 |
| Tempt−1 W | 0.013 | 0.024 | −0.008 | 0.023 | −0.008 | 0.033 | −0.011 | 0.033 |
| Precip B | 1.420 | 3.386 | 0.134 | 2.560 | 3.349 | 7.045 | −0.166 | 0.448 |
| Precip W | 0.014 | 0.072 | −0.026 | 0.060 | 0.118 | 0.092 | 0.050 | 0.065 |
| Precipt−1 B | −1.456 | 3.394 | −0.154 | 2.560 | −3.395 | 7.060 | 0.167 | 0.451 |
| Precipt−1 W | 0.029 | 0.073 | 0.018 | 0.073 | −0.017 | 0.095 | −0.049 | 0.081 |
| Year W | −0.005 | 0.004 | −0.003 | 0.003 | 0.005 | 0.005 | −0.002 | 0.003 |
| Pol. exclusiont−1 B | 0.128 | 0.087 | 0.020 | 0.014 | ||||
| Pol. exclusiont−1 W | 0.195** | 0.088 | 0.014 | 0.067 | ||||
| Ln GDP capitat−1 B | 0.014 | 0.014 | −0.005 | 0.005 | ||||
| Ln GDP capitat−1 W | −0.119 | 0.076 | −0.111*** | 0.041 | ||||
| Post-cold war B | −0.120 | 0.228 | 0.090 | 0.068 | ||||
| Post-cold war W | −0.030 | 0.030 | 0.072* | 0.039 | ||||
| Conflictt−1 B | 0.531*** | 0.099 | 0.997*** | 0.011 | ||||
| Conflictt−1 W | 0.271*** | 0.061 | 0.443*** | 0.077 | ||||
| Random Part | ||||||||
| Level 2: σ2 | 0.042 | 0.010 | 0.091 | 0.000 | ||||
| Level 1: σ2 | 0.055 | 0.045 | 0.097 | 0.073 | ||||
| Country VPC | 43.6% | 18.4% | 48.3% | 0.0% | ||||
| Conflicts | 98 | 98 | 226 | 226 | ||||
| σresiduals | 0.229 | 0.208 | 0.305 | 0.270 | ||||
| σ reduction | 26.9% | 33.6% | 30.0% | 38.0% | ||||
Models 3–4 extend Burke et al. (1) model 2, models 5–6 extend Buhaug (2) model 7. Significance codes: ***P < 0.01, **P < 0.05, *P < 0.1. B, between countries; W, within country; σ is SD. VPC is the variance partition coefficient = σ2country/(σ2country + σ2year). σ reduction (%) is the percentage decrease in the dependent variable (DV) σ compared to the residuals σ: (σDV - σres)/σDV. Linear MLM-RE models fit using maximum likelihood, 889 country–year observations. SEs are robust country-clustered.