Table 3.
Results from OLS and probit regressions of job performance, respectively, for two dimensions.
| Job Performance | Model 4 | Model 5 | Model 6 |
|---|---|---|---|
| Daily number of patients treated (OLS) | Follow-up rate (OLS) | Patient’s appraisal (Probit) | |
| A.I. application | 2.6840** | 0.0824** | 0.3961*** |
| (1.2180) | (0.0366) | (0.1421) | |
| Individual variables | Controlled | Controlled | Controlled |
| Human capital variables | Controlled | Controlled | Controlled |
| Work variables | Controlled | Controlled | Controlled |
| Constant term | −11.5047 | 0.1385 | −1.2092 |
| (8.2272) | (0.2469) | (0.9513) | |
| Observations | 344 | 344 | 344 |
*, **, *** represent significance at the 10, 5, and 1% levels, respectively. The figures in brackets are standard errors. OLS, ordinary least squares.