Model Estimation of Turbine Externalities
| Variable | OLS | SEM | SARAR |
|---|---|---|---|
| View | − 0.1168† (0.0134) | − 0.0315* (0.0172) | − 0.0398*** (0.0154) |
| View × Distance | 0.00699† (0.0008) | 0.00242** (0.0010) | 0.00278*** (0.0001) |
| 20-29 dB | − 0.0368† (0.0059) | − 0.0307*** (0.0102) | − 0.0256*** (0.0080) |
| 30-39 dB | − 0.0512† (0.0118) | − 0.0550*** (0.0190) | − 0.0442*** (0.0151) |
| 40-50 dB | − 0.0433* (0.0243) | − 0.0669** (0.0273) | − 0.0509** (0.0243) |
| λ (error term) | 0.6004† (0.0120) | 0.4413† (0.0254) | |
| ρ (lag term) | 0.2678† (0.0276) | ||
| Wald statistics (hj: λ = ρ = 0) | 1,538.4† | ||
| Adjusted R2 | 0.3794 | 0.3704 | 0.4492 |
| Global Moran’s I | 0.2553† | 0.2776† | 0.1367† |
| LM-error | 4,629.275† | ||
| LM-lag | 3,220.362† | ||
| Robust LM-error | 1,468.492† | ||
| Robust LM-lag | 59.576† |
Note: The table is a subset of the full model shown in Appendix B. Here we show only the variables relevant to the wind turbine. N = 12,640, OLS = 12,581 degrees of freedom. Standard errors are in parentheses. LM, Lagrangian multiplier; OLS, ordinary least squares; SARAR, spatial autoregressive model with a spatial autoregressive error term; SEM, spatial error model.
↵* Significant at 10%;
↵** significant at 5%;
↵*** significant at 1%;
↵† significant at 0.1%.