Table 7 The Housing-Driven Mental Health Effect in Different Phases

From: Assessing the mental health impact of China’s housing boom through national and city-level data analysis

 

(1)

(2)

(3)

(4)

(5)

(6)

t − 1

t

t + 1

t + 2

t + 3

t + 4

y = LogVisitW (Pre 2017 Q1)

HRetW

0.0059

−0.0094

0.0075

0.0523**

−0.0027

0.0071

 

(0.832)

(0.610)

(0.743)

(0.045)

(0.897)

(0.665)

N

113

114

113

112

111

110

R2

0.774

0.789

0.716

0.743

0.725

0.723

y = LogVisitW (Post 2017 Q1)

HRetW

0.0000

0.0630

0.0140

0.0473

−0.0575

0.0673

 

(0.999)

(0.136)

(0.710)

(0.172)

(0.245)

(0.209)

N

105

106

104

103

102

101

R2

0.483

0.507

0.545

0.542

0.542

0.542

p value for Difference

0.0000

0.0000

0.0029

0.0024

0.0023

0.0062

Year, Month and Holiday FE

Yes

Yes

Yes

Yes

Yes

Yes

  1. This table presents the impact of weekly housing market returns on psychiatric outpatient visits across different time periods in Shenzhen. The columns show the relationship between housing market return (HRetW) in week t and psychiatric visits in weeks t − 1 through t + 4. The sample is divided into two periods: Pre 2017 Q1 when housing prices showed greater volatility, and Post 2017 Q1, when the market became more stable. The dependent variable is LogVisitW, representing the log of weekly psychiatric outpatient visits. P-values are reported in parentheses. Statistical significance levels are indicated as follows: *p < 0.1; **p < 0.05; ***p < 0.01.
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