Table 2 Logistic regression models for promotion to research professor (PROF).
From: Merit, competition and gender: scientific promotion in public research organisations
| Â | (1) | (2) | (3) | (4) | (5) | (6) |
|---|---|---|---|---|---|---|
Performance indicators | ||||||
 Publications | −0.010 (0.018) | −0.011 (0.018) | −0.006 (0.019) | −0.009 (0.019) | −0.004 (0.020) | −0.008 (0.020) |
 Citations | 0.001*** (0.000) | 0.001*** (0.000) | 0.001** (0.000) | 0.001*** (0.000) | 0.001** (0.000) | 0.001*** (0.000) |
 Normalised impact | 0.014 (0.055) | 0.013 (0.055) | 0.026 (0.055) | 0.044 (0.057) | 0.058 (0.058) | 0.055 (0.059) |
 Projects | 0.110*** (0.017) | 0.109*** (0.017) | 0.109*** (0.017) | 0.096*** (0.017) | 0.105*** (0.018) | 0.106*** (0.018) |
 Contracts | −0.004 (0.021) | −0.004 (0.021) | −0.004 (0.021) | −0.005 (0.022) | −0.008 (0.022) | −0.002 (0.023) |
 PhD thesis | −0.015 (0.017) | −0.014 (0.017) | −0.006 (0.018) | −0.003 (0.018) | −0.001 (0.018) | 0.007 (0.019) |
 Patents | −0.001 (0.011) | −0.001 (0.011) | −0.002 (0.011) | 0.005 (0.011) | 0.007 (0.011) | 0.008 (0.011) |
Individual attributes | ||||||
 Gender (female) |  | −0.089 (0.201) | 2.346 (2.147) | 2.184 (2.156) | 2.766 (2.339) | 2.418 (2.370) |
 Age |  |  | 0.054 (0.038) | 0.064* (0.038) | 0.055 (0.039) | 0.057 (0.039) |
 Seniority |  |  | 0.319 (0.200) | 0.428** (0.199) | 0.397** (0.202) | 0.391* (0.202) |
 Gender (female) * Age |  |  | −0.031 (0.043) | −0.028 (0.043) | −0.029 (0.044) | −0.023 (0.045) |
 Gender (female) * Seniority |  |  | −0.096* (0.050) | −0.091* (0.048) | −0.096* (0.049) | −0.102** (0.05) |
 Age * Seniority |  |  | −0.006* (0.004) | −0.008** (0.004) | −0.008** (0.004) | −0.008** (0.004) |
Competitive conditions | ||||||
 Competitive pressure |  |  |  | −0.186*** (0.037) | −0.179*** (0.038) | −0.180*** (0.043) |
Evaluation Panels and connections | ||||||
 % Females (on the panel) |  |  |  |  | −0.001 (0.008) | 0.001 (0.008) |
 Gender (female) * % Females (on the panel) |  |  |  |  | −0.011 (0.015) | −0.009 (0.015) |
 Same institute evaluator |  |  |  |  | 0.710*** (0.228) | 0.764*** (0.234) |
 Same institute panel chair |  |  |  |  | −0.142 (0.338) | −0.07 (0.343) |
 Another candidate (same institute) |  |  |  |  | −0.540** (0.226) | −0.553** (0.233) |
Science domains (Ref: BIO) | ||||||
 FOOD |  |  |  |  |  | −0.039 (0.484) |
 MATER |  |  |  |  |  | −0.073 (0.472) |
 PHYSIC |  |  |  |  |  | 0.319 (0.377) |
 CHEM |  |  |  |  |  | −0.158 (0.458) |
 AGRO |  |  |  |  |  | −0.117 (0.371) |
 HUM&SS |  |  |  |  |  | 0.531 (0.418) |
 NAT.RES |  |  |  |  |  | −0.138 (0.349) |
 Constant | −2.655*** (0.255) | −2.623*** (0.265) | −5.332*** (1.994) | −4.521** (1.982) | −4.043* (2.093) | −4.408** (2.139) |
 Observations | 961 | 961 | 961 | 961 | 961 | 961 |
 Contests | 39 | 39 | 39 | 39 | 39 | 39 |
 Log likelihood | −403.415 | −403.315 | −395.684 | −381.233 | −373.724 | −371.449 |
 Pseudo R2 | 0.081 | 0.082 | 0.099 | 0.132 | 0.149 | 0.154 |
