Results of the first-stage Heckman regression: probability of analyst coverage
| (1) | |
|---|---|
| Dependent variable | Analyst dummy |
| IndAnaCov | 1.690*** (0.000) |
| GVT | 0.132*** (0.000) |
| ROA | 2.092*** (0.000) |
| ETP | 2.782*** (0.000) |
| Size | 0.522*** (0.000) |
| MTB | 0.127*** (0.000) |
| Leverage | −0.404*** (0.000) |
| CFO | −0.068 (0.548) |
| Prior stock return | 0.657*** (0.000) |
| Constant | −11.712*** (0.000) |
| Year fixed effects | Yes |
| Industry fixed effects | Yes |
| Observations | 27,325 |
| Pseudo R2 | 0.266 |
| (1) | |
|---|---|
| Dependent variable | Analyst dummy |
| 1.690*** (0.000) | |
| 0.132*** (0.000) | |
| 2.092*** (0.000) | |
| 2.782*** (0.000) | |
| 0.522*** (0.000) | |
| 0.127*** (0.000) | |
| −0.404*** (0.000) | |
| −0.068 (0.548) | |
| 0.657*** (0.000) | |
| Constant | −11.712*** (0.000) |
| Year fixed effects | Yes |
| Industry fixed effects | Yes |
| Observations | 27,325 |
| Pseudo | 0.266 |
Note(s): The table reports the regression results of the first-stage Heckman regression. IndAnaCov is the proportion of companies in the same industry that have analyst coverage in a given year. All variables are defined in Appendix 1. p-values for two-tailed tests are given in parentheses and are based on robust standard errors clustered by firm and year. *, ** and *** indicate statistical significance at the 10, 5 and 1% levels, respectively
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