표 13 오피스의 공실률과 임대료 간 관계 : YBD
변수 | 종속변수(Y) : Diff.임대료 | 종속변수(Y) : Diff.공실률 |
독립변수(X) : Diff.공실률 | 독립변수(X) : Diff.임대료 |
Mode1_1 | Model1_2 | Model1_3 | Model1_4 | Model1_5 | Model2_1 | Model2_2 | Model2_3 | Model2_4 | Model2_5 |
ARDL(1,0) | ARDL(1,1) | ARDL(1,2) | ARDL(2,1) | ARDL(2,2) | ARDL(1,0) | ARDL(1,1) | ARDL(1,2) | ARDL(2,1) | ARDL(2,2) |
Yt-1 | –0.385** | –0.361** | –0.312* | –0.244 | –0.204 | –0.004 | –0.007 | –0.037 | –0.043 | –0.036 |
(0.166) | (0.170) | (0.177) | (0.181) | (0.185) | (0.171) | (0.175) | (0.195) | (0.195) | (0.199) |
Yt-2 | | | | 0.300 | 0.285 | | | | –0.024 | –0.022 |
| | | (0.178) | (0.179) | | | | (0.206) | (0.209) |
Xt | –0.048 | –0.047 | –0.043 | –0.046 | –0.045 | –0.445 | –0.478 | –0.516 | –0.457 | –0.530 |
(0.057) | (0.057) | (0.058) | (0.057) | (0.057) | (0.537) | (0.587) | (0.639) | (0.624) | (0.663) |
Xt-1 | | 0.045 | 0.056 | 0.059 | 0.058 | | –0.090 | –0.001 | –0.057 | 0.011 |
| (0.054) | (0.059) | (0.057) | (0.057) | | (0.583) | (0.628) | (0.613) | (0.648) |
Xt-2 | | | –0.068 | | –0.060 | | | 0.242 | | 0.240 |
| | (0.061) | | (0.060) | | | (0.627) | | (0.639) |
상수 | 0.175*** | 0.163*** | 0.168*** | 0.114* | 0.119** | 0.206 | 0.222 | 0.180 | 0.213 | 0.183 |
(0.046) | (0.048) | (0.049) | (0.056) | (0.057) | (0.144) | (0.177) | (0.200) | (0.187) | (0.206) |
N | 33 | 33 | 32 | 32 | 32 | 33 | 33 | 32 | 32 | 32 |
adj_R2 | 0.117 | 0.107 | 0.121 | 0.169 | 0.169 | –0.041 | –0.076 | –0.113 | –0.118 | –0.155 |
AIC | –0.171 | 1.057 | 2.461 | 0.692 | 1.489 | 75.832 | 77.805 | 78.218 | 78.377 | 80.204 |
SIC | 4.319 | 7.043 | 9.790 | 8.021 | 10.283 | 80.321 | 83.791 | 85.546 | 85.706 | 88.998 |
P>chi2 | 0.0556 | 0.0472 | 0.0500 | 0.5847 | 0.5802 | 0.5775 | 0.6136 | 0.5111 | 0.9859 | 0.4126 |
주 : 1) ( ) 안은 표준오차(se)를 나타냄.
2) *** p<0.01, ** p<0.05, * p<0.1.
3) P>chi2는 시계열 상관(serial correlation)검증테스트인 Breusch-Godfrey LM test의 결과임.