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Table 7 GLS_27coefficients

From: Where is the grass greener? A micro-founded model of migration with application to Guangdong

GLS_27coefficients

NM(person)

  

Real urban expected urban wage gap(yuan)

1.133***

(4.15)

Population gap(person)

−0.764***

(−10.03)

City1&22&23 Singel female gap(Person)

1.207***

(5.13)

Urbanization level gap(urbanhukou)

1.769***

(11.68)

City2 constant effect

4.973***

(4.49)

City2 urbanization level gap(urbanhukou)

5.516***

(4.16)

City3 constant effect

0.174***

(7.62)

City5 constant effect

−0.107**

(−2.60)

City7 population gap(person)

2.110***

(3.48)

City7 urbanization level gap(urbanhukou)

−2.122***

(−3.52)

City8 constant effect

0.562***

(4.96)

City8 Capital stock gap(yuan)

0.298**

(2.76)

City9 constant effect

0.374***

(5.67)

City9 Real urban expected urban wage gap(yuan)

0.767***

(10.17)

City9 Capital stock gap(yuan)

0.470***

(6.99)

City11 constant effect

0.0317**

(3.22)

City13 Capital stock gap(yuan)

0.161

(1.58)

City13 urbanization level gap(urbanhukou)

−0.351**

(−3.22)

City14 urbanization level gap(urbanhukou)

0.178***

(6.35)

City16 urbanization level gap(urbanhukou)

0.315***

(7.74)

City18 constant effect

−0.146***

(−5.12)

City22 constant effect

4.448***

(5.00)

City22 real urban expected urban wage gap(yuan)

−2.438***

(−7.62)

City22 population gap(person)

8.206***

(4.70)

City22 Capital stock gap(yuan)

−1.022***

(−5.97)

City22 urbanization level gap(urbanhukou)

14.94***

(7.68)

City23 Capital stock gap(yuan)

−0.440***

(−4.28)

Observations

144

 
  1. t statistics are in parentheses. * p <0.05. ** p <0.01. *** p <0.001.