Endogeneity test using Instrumental Variable approach (2SLS)
| DV= BGENDIV | DV = WOMMCDUM | DV = WOMMC | |||
|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | |
| LAGBGENDIV | 0.893*** | ||||
| (27.16) | |||||
| BGENDIV_IND | 0.612*** | ||||
| (3.25) | |||||
| BGENDIV_PRED | 0.832*** | 0.176*** | |||
| (3.22) | (2.87) | ||||
| ≥3WOMEN_PRED | 0.329*** | 0.069*** | |||
| (3.34) | (3.00) | ||||
| LNBSIZE | −0.015 | 0.009 | −0.165* | 0.004 | −0.033 |
| (−1.31) | (0.11) | (−1.75) | (0.21) | (−1.63) | |
| BINDP | 0.019 | 0.268 | 0.328 | −0.105 | −0.092 |
| (0.28) | (0.74) | (0.89) | (−1.49) | (−1.31) | |
| FSIZE | 0.001 | −0.010 | −0.005 | 0.004 | 0.005 |
| (0.09) | (−0.20) | (−0.10) | (0.42) | (0.53) | |
| ROA | −0.010 | −0.099 | 0.010 | −0.023 | −0.000 |
| (−0.24) | (−0.29) | (0.03) | (−0.43) | (−0.00) | |
| LEV | 0.000 | 0.017* | 0.016* | 0.007** | 0.006** |
| (0.20) | (1.76) | (1.71) | (2.50) | (2.57) | |
| LFAGE | −0.003 | −0.186*** | −0.210*** | −0.029** | −0.034** |
| (−0.44) | (−3.25) | (−3.70) | (−2.19) | (−2.56) | |
| Intercept | −0.052 | 0.519 | 0.973 | −0.020 | 0.075 |
| (−0.55) | (0.81) | (1.53) | (−0.16) | (0.61) | |
| Year FE | Yes | Yes | Yes | Yes | Yes |
| Industry FE | Yes | Yes | Yes | Yes | Yes |
| Observations | 295 | 296 | 296 | 296 | 296 |
| Adjusted/Pseudo R2 | 0.836 | 0.213 | 0.246 | 0.146 | 0.196 |
| Underidentification test | |||||
| Kleibergen−Paap rk LM statistic | 109.85 | 77.73 | 109.85 | 77.73 | |
| p-value | 0.000 | 0.000 | 0.000 | 0.000 | |
| Weak identification test | |||||
| Cragg-Donald F statistic | 450.22 | 86.42 | 450.22 | 86.42 | |
| DV= BGENDIV | DV = WOMMCDUM | DV = WOMMC | |||
|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | |
| 0.893*** | |||||
| (27.16) | |||||
| 0.612*** | |||||
| (3.25) | |||||
| 0.832*** | 0.176*** | ||||
| (3.22) | (2.87) | ||||
| 0.329*** | 0.069*** | ||||
| (3.34) | (3.00) | ||||
| −0.015 | 0.009 | −0.165* | 0.004 | −0.033 | |
| (−1.31) | (0.11) | (−1.75) | (0.21) | (−1.63) | |
| 0.019 | 0.268 | 0.328 | −0.105 | −0.092 | |
| (0.28) | (0.74) | (0.89) | (−1.49) | (−1.31) | |
| 0.001 | −0.010 | −0.005 | 0.004 | 0.005 | |
| (0.09) | (−0.20) | (−0.10) | (0.42) | (0.53) | |
| −0.010 | −0.099 | 0.010 | −0.023 | −0.000 | |
| (−0.24) | (−0.29) | (0.03) | (−0.43) | (−0.00) | |
| 0.000 | 0.017* | 0.016* | 0.007** | 0.006** | |
| (0.20) | (1.76) | (1.71) | (2.50) | (2.57) | |
| −0.003 | −0.186*** | −0.210*** | −0.029** | −0.034** | |
| (−0.44) | (−3.25) | (−3.70) | (−2.19) | (−2.56) | |
| Intercept | −0.052 | 0.519 | 0.973 | −0.020 | 0.075 |
| (−0.55) | (0.81) | (1.53) | (−0.16) | (0.61) | |
| Year FE | Yes | Yes | Yes | Yes | Yes |
| Industry FE | Yes | Yes | Yes | Yes | Yes |
| Observations | 295 | 296 | 296 | 296 | 296 |
| Adjusted/Pseudo | 0.836 | 0.213 | 0.246 | 0.146 | 0.196 |
| Kleibergen−Paap rk LM statistic | 109.85 | 77.73 | 109.85 | 77.73 | |
| 0.000 | 0.000 | 0.000 | 0.000 | ||
| Cragg-Donald F statistic | 450.22 | 86.42 | 450.22 | 86.42 | |
Note(s): This table presents the results of 2SLS regressions. Column 1 shows the first-stage regression results. Columns 2–5 show the second-stage results where the independent variable is predicted based on first-stage regression. The t-statistics reported in parentheses are based on robust standard errors. Superscripts ***, **, and * denote significance at the 1%, 5%, and 10% levels, respectively. All variables are defined in Appendix
Source(s): Authors’ own work
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.