The Peer Effects of the Usage of Credit Cards in Rural Areas of China: Evidence from Rural China
Table 3
Estimation results of the peer effects.
Variables
ccus
ccus
ccus
(1)
(2)
(3)
pccu
4.484 (15.522)
4.558 (12.923)
4.466 (10.554)
tpay
≤0.001 (1.093)
≤0.001 (1.042)
tincome
≤0.001 (2.404)
≤0.001 (2.438)
age
−0.006 (−1.840)
−0.006 (−1.828)
sex
0.131 (1.751)
0.129 (1.724)
edu
0.038 (3.334)
0.039 (3.339)
sc
0.033 (1.301)
0.034 (1.323)
tp
0.029 (1.778)
0.029 (1.809)
loandemand
−0.162 (−2.175)
−0.164 (−2.215)
peersex
−0.140 (−0.629)
−0.155 (−0.686)
peerage
0.007 (1.089)
0.006 (0.756)
peersc
−0.024 (−0.323)
−0.010 (−0.119)
peeredu
−0.025 (−0.806)
−0.036 (−0.996)
peertincome
−0.001 (−1.983)
−0.001 (−1.483)
cuntraffic
−0.032 (−0.320)
−0.023 (−0.226)
cunwifi
0.028 (0.183)
0.055 (0.356)
pdistance
≤0.001 (1.329)
≤0.001 (0.702)
Constant
−1.819 (−32.390)
−2.137 (−4.392)
−2.024 (−3.228)
Regional control
No
No
Yes
Observations
2435
2435
2435
Pseudo R-squared
0.104
0.150
0.151
Note:,, and indicate significance at the 10%, 5%, and 1% levels, respectively. The number in parenthesis is T value. The same goes for subsequent tables.
