Table 3 Replacement of independent variable.
From: How do zombie firms affect labor mobility: city-level empirical evidence from China
(1) | (2) | (3) | (4) | (3) | (4) | |
|---|---|---|---|---|---|---|
\(\Delta {labor}\) | \(\Delta {labor}\) | \(\Delta {labor}\) | \(\Delta {labor}\) | \(\Delta {labor}\)1 | \(\Delta {labor}\)1 | |
\(\overline{{Zombie}1}\) | −0.0689* | −0.0655* | ||||
(0.0351) | (0.0364) | |||||
\(\overline{{Zombie}2}\) | −0.0462* | −0.0496** | ||||
(0.0235) | (0.0247) | |||||
\(\overline{{Zombie}}\) | −0.0656*** | −0.0479*** | ||||
(0.0198) | (0.0166) | |||||
ind | −0.0610** | −0.0642** | −0.0475*** | |||
(0.0280) | (0.0281) | (0.0175) | ||||
lnfdi | 0.0034*** | 0.0035*** | 0.0016*** | |||
(0.0010) | (0.0010) | (0.0005) | ||||
female | 0.4014* | 0.4255** | 0.3979*** | |||
(0.2113) | (0.2096) | (0.1400) | ||||
ethnic | −0.1314 | −0.1218 | −0.1838** | |||
(0.1871) | (0.1878) | (0.0717) | ||||
young | −0.0900 | −0.0775 | −0.0337 | |||
(0.1227) | (0.1220) | (0.0578) | ||||
unmar | 0.0888 | 0.0758 | 0.1040 | |||
(0.1612) | (0.1598) | (0.0867) | ||||
_cons | 0.0216*** | −0.1777* | 0.0211*** | −0.1880* | 0.0167*** | −0.1857** |
(0.0053) | (0.0990) | (0.0052) | (0.0983) | (0.0047) | (0.0766) | |
N | 726 | 726 | 726 | 726 | 726 | 726 |
R2 | 0.124 | 0.157 | 0.124 | 0.158 | 0.094 | 0.158 |
Period FE | YES | YES | YES | YES | YES | YES |
City FE | YES | YES | YES | YES | YES | YES |
