Research Article

What are the Effects of Demographic Structures on Housing Consumption?: Evidence from 31 Provinces in China

Table 5

Estimation results of fixed-effect models for population structure and housing consumption across the country and across regions.

VariableNationwideEastCentralWest
Model 1Model 2Model 3Model 1Model 2Model 3Model 1Model 2Model 3Model 1Model 2Model 3

lnINCO1.1701 (5.67)0.8279 (2.80)1.2330 (3.84)1.2069 (2.86)0.8916 (1.93)0.8099 (1.89)1.3331 (3.39)1.3125 (2.64)1.2705 (2.15)1.0314 (2.93)0.4070 (0.98)0.3189 (0.64)
lnDEPO0.3724 (2.46)−0.0755 (−0.22)0.3069 (1.28)−0.0412 (−0.11)0.0271 (0.07)0.1404 (0.19)0.5483 (4.92)0.6536 (1.47)
lnHCA0.0697 (6.23)0.0700 (6.26)0.0682 (5.39)0.0502 (3.27)0.0515 (3.30)0.0344 (1.79)0.0594 (5.13)0.0593 (5.03)0.0521 (3.38)0.0932 (3.58)0.0887 (3.27)0.0843 (3.10)
lnPOPU−0.5859 (−1.14)−0.8890 (−1.74)−0.9261 (−1.78)−0.8227 (−1.14)−1.2282 (−1.21)−1.0826 (−1.05)−3.3678 (−2.03)−3.3704 (−2.01)−3.8925 (−2.35)0.0315 (−0.03)−0.2981 (−0.43)−1.4655 (−1.51)
URBA3.3291 (4.88)2.3342 (3.30)2.7319 (3.81)2.7401 (1.86)2.0261 (1.26)1.6826 (1.57)5.5608 (4.75)5.4789 (4.14)5.5869 (3.76)3.1249 (2.67)2.1776 (1.67)4.7940 (2.74)
CDR−3.7113 (−3.14)−3.4397 (−3.23)−10.5594 (−3.42)−4.6515 (−3.25)−4.5295 (−3.29)−23.5904 (−5.72)−0.2330 (−0.28)−0.2204 (−0.24)−5.7983 (−0.73)−5.1090 (−2.92)−4.4907 (−2.86)−6.7572 (−1.76)
ODR4.0423 (1.99)3.9180 (1.92)11.4679 (1.12)4.3652 (1.74)4.5328 (1.86)12.5077 (0.87)−1.0550 (−0.27)−1.0963 (−0.27)21.1717 (1.26)4.2602 (1.65)4.5068 (1.50)31.5801 (3.47)
FS−0.2961 (−3.12)−0.2337 (−2.19)−0.1427 (−1.19)−0.1314 (−0.59)−0.1493 (−0.71)−0.0362 (−0.19)−0.7115 (−4.71)−0.7101 (−4.67)−0.6546 (−5.17)−0.2783 (−1.97)−0.1980 (−1.55)−0.1598 (−1.34)
EDU−8.1761 (−7.78)−7.9662 (−7.30)−6.2861 (−5.91)−7.0396 (−3.68)−6.5297 (−3.27)−4.2519 (−2.08)−8.2023 (−3.21)−8.2357 (−3.21)−6.3469 (−1.96)−9.6970 (−5.73)−9.4814 (−5.74)−7.9119 (−6.17)
lnDEPO_ODR−1.0201 (−0.90)−1.0410 (−0.58)−2.5833 (−1.21)−3.3660 (−3.54)
lnDEPO_CDR0.9831 (2.84)2.2712 (5.30)0.7503 (0.79)0.5172 (0.92)
Constant0.8902 (0.24)3.6795 (0.93)3.1870 (0.77)2.3528 (0.41)6.3589 (0.76)8.7775 (1.06)23.7416 (1.76)27.1147 (1.88)−2.4339 (−0.48)1.6436 (0.52)8.8187 (1.39)
Hausman0.00000.00000.00000.00000.00000.00000.00000.19920.00060.00000.00000.0000
R2 within group0.90170.90390.91320.85980.86100.89460.95490.95490.95630.90830.91370.9249
Sample size589589589209209209152152152228228228

Note. , , and indicate significance at the 1%, 5%, and 10%. Numbers in parentheses are T statistics. Hausman stands for the Hausman test value.