Table 4.

Results of quantile regression by duration of vacancies

Model
number
Periods of vacancy(I) Mean(II) Bottom 10%(III) Median(IV)Top 10%
Coef.Std. Err.Coef.Std. Err.Coef.Std. Err.Coef.Std. Err.
1–4All the vacancies−0.0670.033*−0.1070.028***−0.0560.018**−0.0130.033
5–81 month+−0.0570.035−0.1310.030***−0.0430.0310.0190.028
9–122 month+−0.0780.037*−0.1500.034***−0.0850.030**0.0540.028†
13–163 month+−0.0930.042*−0.1610.027***−0.1000.038**0.0510.039
17–204 month+−0.1110.047*−0.1730.039***−0.1370.037***0.0490.038
21–245 month+−0.1020.053†−0.2220.039***−0.1230.043**0.0620.069
25–286 month+−0.1100.056*−0.2320.082**−0.1230.050*0.0580.070
29–327 month+−0.1480.060*−0.2360.926−0.1510.034***−0.0420.045
33–368 month+−0.1640.063**−0.2770.096**−0.1610.053**−0.0490.072
37–409 month+−0.1790.066**−0.2790.087**−0.1950.039***−0.0490.046
41–4410 month+−0.1930.068**−0.3210.102**−0.1900.047***−0.0500.047
45–4811 month+−0.2140.074**−0.3550.129**−0.2120.051***−0.0530.058
Obs.3,627

Notes: Statistical significance levels: *** 0.1%; ** 1%; * 5%; † 10%. The response variable is ln(monthly rent). The independent variables are ln(floor area), ln(building age), ln(number of stories), ln(total number of apartment units), floor plans, ln(distance to the nearest station), and ln(distance to the Tokyo CBD). Standard errors are calculated by bootstrap sampling with 20 repetitions

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