Table 6 Differences in estimated housing prices in Busan.

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

\({0.043}^{* }\)

\({0.183}^{\ddagger }\)

\(0.019\)

\({0.135}^{\ddagger }\)

\(0.005\)

\({0.099}^{\ddagger }\)

 

\(-{8.517}^{\ddagger }\)

\(-{10.674}^{\ddagger }\)

\({-12.582}^{\ddagger }\)

RF-SLR

\(0.027\)

\({0.178}^{\ddagger }\)

\(0.021\)

\({0.129}^{\ddagger }\)

\(0.007\)

\({0.084}^{\ddagger }\)

 

\(-{8.384}^{\ddagger }\)

\(-{9.285}^{\ddagger }\)

\(-{10.360}^{\ddagger }\)

XGB-OLS

\({0.043}^{* }\)

\({0.180}^{\ddagger }\)

\(0.018\)

\({0.128}^{\ddagger }\)

\(0.003\)

\({0.094}^{\ddagger }\)

 

\(-{8.491}^{\ddagger }\)

\(-{10.293}^{\ddagger }\)

\(-{12.616}^{\ddagger }\)

XGB-SLR

\(0.027\)

\({0.174}^{\ddagger }\)

\(0.019\)

\({0.123}^{\ddagger }\)

\(0.005\)

\({0.080}^{\ddagger }\)

 

\(-{8.320}^{\ddagger }\)

\(-{8.860}^{\ddagger }\)

\(-{10.248}^{\ddagger }\)

Panel: A.2: Univ. grad. and Top school are omitted.

RF-OLS

\(0.037\)

\({0.205}^{\ddagger }\)

\(0.012\)

\({0.150}^{\ddagger }\)

\(-0.001\)

\({0.101}^{\ddagger }\)

 

\(-{10.153}^{\ddagger }\)

\(-{12.553}^{\ddagger }\)

\(-{13.632}^{\ddagger }\)

RF-SLR

\(0.023\)

\({0.193}^{\ddagger }\)

\(0.015\)

\({0.139}^{\ddagger }\)

\(0.003\)

\({0.086}^{\ddagger }\)

 

\(-{9.449}^{\ddagger }\)

\(-{10.525}^{\ddagger }\)

\(-{11.112}^{\ddagger }\)

XGB-OLS

\({0.043}^{* }\)

\({0.202}^{\ddagger }\)

\(0.013\)

\({0.145}^{\ddagger }\)

\(-0.003\)

\({0.097}^{\ddagger }\)

 

\(-{9.808}^{\ddagger }\)

\(-{12.207}^{\ddagger }\)

\(-{13.684}^{\ddagger }\)

XGB-SLR

\(0.030\)

\({0.189}^{\ddagger }\)

\(0.017\)

\({0.134}^{\ddagger }\)

\(0.001\)

\({0.082}^{\ddagger }\)

 

\(-{9.066}^{\ddagger }\)

\(-{10.103}^{\ddagger }\)

\(-{11.013}^{\ddagger }\)

Panel B.1: Top school is omitted.

RF-OLS

\(-{0.088}^{\ddagger }\)

\({0.081}^{\ddagger }\)

\(-{0.079}^{\ddagger }\)

\({0.069}^{\ddagger }\)

\(-{0.041}^{\ddagger }\)

\({0.053}^{\ddagger }\)

 

\(-{12.870}^{\ddagger }\)

\(-{15.389}^{\ddagger }\)

\(-{13.464}^{\ddagger }\)

RF-SLR

\(-{0.062}^{\ddagger }\)

\({0.054}^{\dagger }\)

\(-{0.052}^{\ddagger }\)

\({0.043}^{\dagger }\)

\(-{0.022}^{* }\)

\({0.035}^{\ddagger }\)

 

\(-{7.919}^{\ddagger }\)

\(-{8.941}^{\ddagger }\)

\(-{7.667}^{\ddagger }\)

XGB-OLS

\(-{0.082}^{\ddagger }\)

\({0.075}^{\ddagger }\)

\(-{0.076}^{\ddagger }\)

\({0.065}^{\ddagger }\)

\(-{0.042}^{\ddagger }\)

\({0.051}^{\ddagger }\)

 

\(-{12.216}^{\ddagger }\)

\(-{14.949}^{\ddagger }\)

\(-{13.694}^{\ddagger }\)

XGB-SLR

\(-{0.056}^{\dagger }\)

\({0.048}^{* }\)

\(-{0.049}^{\ddagger }\)

\({0.039}^{\dagger }\)

\(-{0.022}^{* }\)

\({0.033}^{\ddagger }\)

 

\(-{7.192}^{\ddagger }\)

\(-{8.312}^{\ddagger }\)

\(-{7.601}^{\ddagger }\)

Panel B.2: Univ. grad. and Top school are omitted.

RF-OLS

\(-{0.104}^{\ddagger }\)

\({0.095}^{\ddagger }\)

\(-{0.093}^{\ddagger }\)

\({0.078}^{\ddagger }\)

\(-{0.049}^{\ddagger }\)

\({0.059}^{\ddagger }\)

 

\(-{14.891}^{\ddagger }\)

\(-{14.891}^{\ddagger }\)

\(-{15.110}^{\ddagger }\)

RF-SLR

\(-{0.074}^{\ddagger }\)

\({0.064}^{\dagger }\)

\(-{0.062}^{\ddagger }\)

\({0.049}^{\ddagger }\)

\(-{0.027}^{\dagger }\)

\({0.039}^{\ddagger }\)

 

\(-{9.305}^{\ddagger }\)

\(-{10.346}^{\ddagger }\)

\(-{8.813}^{\ddagger }\)

XGB-OLS

\(-{0.097}^{\ddagger }\)

\({0.096}^{\ddagger }\)

\(-{0.089}^{\ddagger }\)

\({0.079}^{\ddagger }\)

\(-{0.049}^{\ddagger }\)

\({0.059}^{\ddagger }\)

 

\(-{14.807}^{\ddagger }\)

\(-{17.781}^{\ddagger }\)

\(-{15.642}^{\ddagger }\)

XGB-SLR

\(-{0.067}^{\ddagger }\)

\({0.065}^{\dagger }\)

\(-{0.058}^{\ddagger }\)

\({0.051}^{\ddagger }\)

\(-{0.027}^{\dagger }\)

\({0.039}^{\ddagger }\)

 

\(-{9.075}^{\ddagger }\)

\(-{10.332}^{\ddagger }\)

\(-{9.054}^{\ddagger }\)

  1. \(\ddagger\), \(\dagger\), and \(*\) indicate significance at the 1%, 5%, and 10% levels, respectively.