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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.