Table 2.

The baseline models

Variables(1)(2)(3)
lnPricelnPricelnPrice
lnRent(t – 3)0.3490***  
(57.17)  
lnRent(t – 6) 0.3761*** 
 (60.92) 
lnRent(t – 12)  0.3888***
  (60.59)
WlnPrice0.1102***0.1101***0.1089***
(12.48)(12.58)(12.52)
lnBedroom0.1413***0.1471***0.1498***
(27.63)(28.88)(29.36)
lnLivingroom0.0979***0.0988***0.0984***
(14.77)(14.96)(14.90)
lnBathroom0.0910***0.0882***0.0872***
(7.59)(7.37)(7.26)
lnSize−0.3834***−0.3981***−0.4051***
(−44.15)(−45.87)(−46.35)
lnAge−0.0843***−0.0795***−0.0760***
(−22.05)(−20.81)(−19.90)
School_District0.0185***0.0175***0.0176***
(6.41)(6.11)(6.16)
lnD_Center−0.1469***−0.1394***−0.1358***
(−31.51)(−29.95)(−29.24)
lnD_Subway−0.0183***−0.0164***−0.0156***
(−8.26)(−7.48)(−7.15)
lnD_Business−0.0097***−0.0083***−0.0075***
(−4.94)(−4.26)(−3.89)
Constant8.9731***8.7739***8.6906***
(78.81)(77.11)(76.67)
Control district fixed effectsYesYesYes
Control monthly fixed effectsYesYesYes
VIF2.992.993.00
N20,21320,21320,213
R-sq0.7940.7990.800
Adj. R-sq0.7940.7980.800
Note(s):

t-Statistics in parentheses; *p < 0.10, **p < 0.05, ***p < 0.01

Source(s): Authors’ own creation and work

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