Results of linear regression panel data with the method B-cycle as a dummy variable
| Tunisia | France | |||
|---|---|---|---|---|
| Variables | BL | ML | BL | ML |
| MTBtim (−1) | −0.00082 (0.672) | 0.00059 (0.756) | −0.00078 (0.636) | 0.00075 (0.684) |
| MTB (−1) | 0.01166 (0.004) | −0.01766 (0.000) | 0.01883 (0.000) | −0.02481 (0.000) |
| Prof | −0.7685 (0.000) | −0.66378 (0.000) | −0.38027 (0.001) | −0.31617 (0.002) |
| Size | 0.0902 (0.000) | 0.09781 (0.000) | 0.03701 (0.000) | 0.03140 (0.000) |
| Tang | −0.05667 (0.421) | −0.0405 (0.556) | 0.16780 (0.021) | 0.14897 (0.009) |
| B-cycle G | −1.3676 (0.000) | −1.4823 (0.000) | −0.0495 (0.382) | −0.05540 (0.221) |
| B-cycle M | −1.4161 (0.000) | −1.5320 (0.000) | −0.03857 (0.500) | −0.03533 (0.444) |
| B-cycle D | −1.3372 (0.000) | −1.445 (0.000) | −0.04567 (0.412) | −0.04446 (0.313) |
| R2 | 0.6397 | 0.5810 | 0.2019 | 0.1447 |
| Observations | 216 | 216 | 900 | 900 |
| Tunisia | France | |||
|---|---|---|---|---|
| Variables | BL | ML | BL | ML |
| MTBtim ( | −0.00082 (0.672) | 0.00059 (0.756) | −0.00078 (0.636) | 0.00075 (0.684) |
| MTB ( | ||||
| −0.0405 (0.556) | 0.16780 | |||
| B-cycle G | −0.0495 (0.382) | −0.05540 (0.221) | ||
| B-cycle M | −0.03857 (0.500) | −0.03533 (0.444) | ||
| B-cycle D | −0.04567 (0.412) | −0.04446 (0.313) | ||
| Observations | ||||
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