Auxiliary regression: Heckman selection model. The model reported in this table is the first-stage regression in the Heckman selection model used to estimate the inverse mills’ ratio (prob_exit)
| Variables | Coefficient | p-value |
|---|---|---|
| Assets | 1.00e−05 | 0.000*** |
| Net_profit | −0.0000442 | 0.000*** |
| Firm_age | 0.027 | 0.117 |
| Constant | −0.570 | 0.002*** |
| Observations | 214 | |
| Pseudo R2 | 13.27% |
| Variables | Coefficient | |
|---|---|---|
| Assets | 1.00e−05 | 0.000 |
| Net_profit | −0.0000442 | 0.000 |
| Firm_age | 0.027 | 0.117 |
| Constant | −0.570 | 0.002 |
| Observations | 214 | |
| Pseudo R2 | 13.27% |
Notes:
*p-value < 10%, **p-value < 5%, ***p-value < 1%
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.