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 |