Robustness regression results
| Dependent variable: IAQ Model (6) | |
|---|---|
| FAM_OW | 0.016*** (0.006) |
| FIB | −0.000 (0.006) |
| F_LEAD | 0.001 (0.115) |
| F_GEN | −0.233** (0.116) |
| LEV | −0.804*** (0.205) |
| PROFIT | −0.033 (0.293) |
| SIZE | 0.194*** (0.055) |
| GROWTH | 0.093*** (0.030) |
| GEO_LOC | 0.259 (0.260) |
| B_SIZE | 0.025 (0.027) |
| CEO_DUALITY | 0.144 (0.093) |
| N_IND | 0.029 (0.030) |
| SUST_COM | 0.054 (0.088) |
| Years, Industry | Yes |
| INTERCEPT | −3.315*** (1.156) |
| Observations | 320 |
| R-squared (overall) | 0.31 |
| Wald Chi-square | 89.34*** |
| Dependent variable: IAQ Model (6) | |
|---|---|
| FAM_OW | 0.016 |
| FIB | −0.000 (0.006) |
| F_LEAD | 0.001 (0.115) |
| F_GEN | −0.233 |
| LEV | −0.804 |
| PROFIT | −0.033 (0.293) |
| SIZE | 0.194 |
| GROWTH | 0.093 |
| GEO_LOC | 0.259 (0.260) |
| B_SIZE | 0.025 (0.027) |
| CEO_DUALITY | 0.144 (0.093) |
| N_IND | 0.029 (0.030) |
| SUST_COM | 0.054 (0.088) |
| Years, Industry | Yes |
| INTERCEPT | −3.315 |
| Observations | 320 |
| 0.31 | |
| Wald Chi-square | 89.34 |
Notes:
Standard errors are in parenthesis. Variables are described in Table 1; *p < 0.1; **p < 0.05; ***p < 0.01
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