Impact of ownership structure on REM
| Variable | Dependent variable: REM | |
|---|---|---|
| Fixed effect | System GMM | |
| REMikt−1 | 0.044*** (5.645) | |
| OWNCON | −0.084*** (−7.631) | −0.024*** (−4.665) |
| MANOWN | −0.037** (−2.572) | −0.031* (−2.201) |
| FOROWN | −0.022** (−2.301) | −0.031 (−1.008) |
| INSOWN | −0.082 (−1.002) | −0.031 (−1.941) |
| FSIZE | 0.021*** (5.636) | 0.014*** (3.616) |
| ROA | −0.057*** (−3.665) | −0.021** (−2.401) |
| LEV | 0.125** (2.261) | 0.064 (1.024) |
| FAGE | 0.022 (1.114) | 0.002 (1.071) |
| YDM | Yes | Yes |
| CDM | Yes | Yes |
| Constant | −0.148*** (−5.636) | −0.117*** (−4.438) |
| R2 | 0.434 | |
| F-statistic | 68.981*** | 55.004*** |
| Chow test (p-value) | 0.001 | |
| Breusch-Pagan LM test (p-value) | 0.000 | |
| Hausman F/R test (p-value) | 0.004 | |
| Durbin-Wu-Hausman test for endogeneity (p-value) | 0.000 | |
| Hansen J-statistic (p-value) | 0.523 | |
| AR(1) p-value | 0.023 | |
| AR(2) p-value | 0.412 | |
| No. of observations | 346 | 346 |
| Variable | Dependent variable: REM | |
|---|---|---|
| Fixed effect | System GMM | |
| REMikt−1 | 0.044*** (5.645) | |
| OWNCON | −0.084*** (−7.631) | −0.024*** (−4.665) |
| MANOWN | −0.037** (−2.572) | −0.031* (−2.201) |
| FOROWN | −0.022** (−2.301) | −0.031 (−1.008) |
| INSOWN | −0.082 (−1.002) | −0.031 (−1.941) |
| FSIZE | 0.021*** (5.636) | 0.014*** (3.616) |
| ROA | −0.057*** (−3.665) | −0.021** (−2.401) |
| LEV | 0.125** (2.261) | 0.064 (1.024) |
| FAGE | 0.022 (1.114) | 0.002 (1.071) |
| YDM | Yes | Yes |
| CDM | Yes | Yes |
| Constant | −0.148*** (−5.636) | −0.117*** (−4.438) |
| 0.434 | ||
| 68.981*** | 55.004*** | |
| Chow test ( | 0.001 | |
| Breusch-Pagan LM test ( | 0.000 | |
| Hausman F/R test ( | 0.004 | |
| Durbin-Wu-Hausman test for endogeneity ( | 0.000 | |
| Hansen J-statistic ( | 0.523 | |
| AR(1) | 0.023 | |
| AR(2) | 0.412 | |
| No. of observations | 346 | 346 |
Note(s): Asterisks denotes significance level at 10% (*), 5% (**) and 1% (***). The numbers in parenthesis indicate t-statistics. In this study, we used the two-step system GMM as our baseline model. We conduct the Durbin-Wu-Hausman test for the endogeneity test of all regressors as a group. Endogeneity testing via Durbin-Wu-Hausman implies a rejection of the null hypothesis that the regressors are exogeneous; hence the system GMM necessarily be used. In addition, Hansen’s J-statistic results show that we cannot reject the null hypothesis that the instrumental variables used in the system GMM model are valid, which supports the validity of over-identifying restrictions and the arguments for using the system GMM. The F-statistic value is significant, indicating that the model has predictive power. AR(1) shows the presence of first-order autocorrelation of residuals, whereas AR(2) indicates that there is no second-order autocorrelation. The p-values of both Chow and Breusch-Pagan LM tests indicate that either fixed-effect or random-effect regression procedures should be used, based on the results. The Hausman fixed, or random (F/R) test findings confirm that the fixed effect is the optimal approach. Year dummies and country dummies are unreported
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