Table 9 Differences in estimated housing prices in Gwangju.
From: Asymmetric impacts of artificial intelligence on housing price valuation across education levels
|  | 0–5% | 95–100% | 0–10% | 90–100% | 0–20% | 80–100% |
|---|---|---|---|---|---|---|
Panel A.1: Univ. grad. is omitted. | ||||||
RF-OLS | \(-{0.088}^{\ddagger }\) | \(0.028\) | \(-{0.054}^{\dagger }\) | \({0.032}^{* }\) | \(-{0.055}^{\ddagger }\) | \({0.055}^{\ddagger }\) |
| Â | \(-{10.370}^{\ddagger }\) | \(-{10.614}^{\ddagger }\) | \(-{16.765}^{\ddagger }\) | |||
RF-SLR | \(-{0.077}^{\dagger }\) | \(0.027\) | \(-{0.046}^{\dagger }\) | \(0.028\) | \(-{0.049}^{\ddagger }\) | \({0.049}^{\ddagger }\) |
| Â | \(-{9.070}^{\ddagger }\) | \(-{9.081}^{\ddagger }\) | \(-{14.848}^{\ddagger }\) | |||
XGB-OLS | \(-{0.084}^{\ddagger }\) | \(0.030\) | \(-{0.052}^{\dagger }\) | \({0.032}^{* }\) | \(-{0.054}^{\ddagger }\) | \({0.056}^{\ddagger }\) |
| Â | \(-{10.543}^{\ddagger }\) | \(-{10.659}^{\ddagger }\) | \(-{16.916}^{\ddagger }\) | |||
XGB-SLR | \(-{0.073}^{\dagger }\) | \(0.029\) | \(-{0.044}^{\dagger }\) | \(0.028\) | \(-{0.048}^{\ddagger }\) | \({0.050}^{\ddagger }\) |
| Â | \(-{9.200}^{\ddagger }\) | \(-{9.093}^{\ddagger }\) | \(-{14.972}^{\ddagger }\) | |||
Panel: A.2: Univ. grad. and Top school are omitted. | ||||||
RF-OLS | \(-{0.091}^{\ddagger }\) | \(0.034\) | \(-{0.059}^{\ddagger }\) | \({0.035}^{* }\) | \(-{0.059}^{\ddagger }\) | \({0.058}^{\ddagger }\) |
| Â | \(-{11.171}^{\ddagger }\) | \(-{11.498}^{\ddagger }\) | \(-{17.620}^{\ddagger }\) | |||
RF-SLR | \(-{0.080}^{\dagger }\) | \(0.032\) | \(-{0.051}^{\dagger }\) | \({0.030}^{* }\) | \(-{0.052}^{\ddagger }\) | \({0.052}^{\ddagger }\) |
| Â | \(-{9.803}^{\ddagger }\) | \(-{9.921}^{\ddagger }\) | \(-{15.658}^{\ddagger }\) | |||
XGB-OLS | \(-{0.091}^{\ddagger }\) | \(0.036\) | \(-{0.057}^{\ddagger }\) | \({0.034}^{* }\) | \(-{0.058}^{\ddagger }\) | \({0.058}^{\ddagger }\) |
| Â | \(-{11.846}^{\ddagger }\) | \(-{11.693}^{\ddagger }\) | \(-{18.137}^{\ddagger }\) | |||
XGB-SLR | \(-{0.080}^{\dagger }\) | \(0.034\) | \(-{0.050}^{\dagger }\) | \(0.030\) | \(-{0.052}^{\ddagger }\) | \({0.052}^{\ddagger }\) |
| Â | \(-{10.385}^{\ddagger }\) | \(-{10.048}^{\ddagger }\) | \(-{16.112}^{\ddagger }\) | |||
Panel B.1: Top school is omitted. | ||||||
RF-OLS | \(-0.008\) | \(-0.030\) | \(-0.031\) | \(-0.010\) | \(-0.019\) | \(0.014\) |
| Â | \({1.775}^{* }\) | \(-{2.260}^{\dagger }\) | \(-{4.942}^{\ddagger }\) | |||
RF-SLR | \(-0.004\) | \(-0.032\) | \(-0.028\) | \(-0.012\) | \(-0.016\) | \(0.014\) |
| Â | \({2.250}^{\dagger }\) | \(-{1.808}^{* }\) | \(-{4.400}^{\ddagger }\) | |||
XGB-OLS | \(-0.007\) | \(-0.024\) | \(-0.029\) | \(-0.008\) | \(-0.017\) | \(0.014\) |
| Â | \(1.439\) | \(-{2.287}^{\dagger }\) | \(-{4.731}^{\ddagger }\) | |||
XGB-SLR | \(-0.003\) | \(-0.026\) | \(-0.026\) | \(-0.010\) | \(-0.014\) | \(0.013\) |
| Â | \({1.921}^{* }\) | \(-{1.823}^{* }\) | \(-{4.173}^{\ddagger }\) | |||
Panel B.2: Univ. grad. and Top school are omitted. | ||||||
RF-OLS | \(-0.014\) | \(-0.033\) | \(-{0.040}^{\dagger }\) | \(-0.008\) | \(-{0.025}^{* }\) | \(0.022\) |
| Â | \(-1.392\) | \(-{3.451}^{\ddagger }\) | \(-{6.813}^{\ddagger }\) | |||
RF-SLR | \(-0.010\) | \(-0.035\) | \(-{0.036}^{\dagger }\) | \(-0.010\) | \(-0.020\) | \(0.021\) |
| Â | \({2.022}^{\dagger }\) | \(-{2.862}^{\ddagger }\) | \(-{6.052}^{\ddagger }\) | |||
XGB-OLS | \(-0.010\) | \(-0.034\) | \(-{0.038}^{* }\) | \(-0.009\) | \(-0.022\) | \(0.020\) |
| Â | \({1.967}^{\dagger }\) | \(-{3.150}^{\ddagger }\) | \(-{6.389}^{\ddagger }\) | |||
XGB-SLR | \(-0.006\) | \(-0.036\) | \(-{0.034}^{\dagger }\) | \(-0.011\) | \(-0.018\) | \(0.019\) |
| Â | \({2.485}^{\dagger }\) | \(-{2.544}^{\dagger }\) | \(-{5.607}^{\ddagger }\) | |||
