Table 2.
Results for OLS regression of comprehensive index of job performance.
| Job performance | Model 1 | Model 2 | Model 3 |
|---|---|---|---|
| A.I. application (Yes = 1; No = 0) | 0.2212*** | 0.2269*** | 0.2278*** |
| (0.0668) | (0.0661) | (0.0663) | |
| Age | 0.0098 | 0.0043 | 0.0042 |
| (0.0115) | (0.0118) | (0.0118) | |
| Gender (Male = 1; Female = 0) | 0.0558 | 0.0340 | 0.0343 |
| (0.0669) | (0.0663) | (0.0664) | |
| Hukou status (Local = 1; Non-local = 0) | 0.0506 | 0.0263 | 0.0268 |
| (0.0667) | (0.0664) | (0.0665) | |
| Education level | 0.0525** | 0.0518** | |
| (0.0207) | (0.0209) | ||
| Working experience | 0.0076* | 0.0075* | |
| (0.0038) | (0.0039) | ||
| Categories of standardised-trained residents (Medical practitioners = 1; Clinical medical technicians = 0) | 0.0213 | ||
| (0.0729) | |||
| Constant term | −0.4004 | −1.1784*** | −1.1796*** |
| (0.3027) | (0.4470) | (0.4476) | |
| Observations | 344 | 344 | 344 |
| Adj R2 | 0.2262 | 0.2523 | 0.2897 |
*, **, *** represent significance at the 10, 5, and 1% levels, respectively. The figures in brackets are standard errors.