Table 3 Logistic regression models for promotion to scientific researcher (INVE).
From: Merit, competition and gender: scientific promotion in public research organisations
| Â | (1) | (2) | (3) | (4) | (5) | (6) |
|---|---|---|---|---|---|---|
Performance indicators | ||||||
 Publications | 0.025* (0.013) | 0.026** (0.013) | 0.029** (0.014) | 0.024* (0.014) | 0.027* (0.014) | 0.024 (0.015) |
 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 | 0.081*** (0.030) | 0.083*** (0.031) | 0.094*** (0.032) | 0.100*** (0.032) | 0.103*** (0.033) | 0.099*** (0.033) |
 Projects | 0.130*** (0.019) | 0.131*** (0.019) | 0.136*** (0.019) | 0.125*** (0.019) | 0.139*** (0.020) | 0.134*** (0.021) |
 Contracts | 0.011 (0.015) | 0.011 (0.015) | 0.003 (0.015) | 0.006 (0.015) | 0.007 (0.016) | 0.013 (0.016) |
 PhD thesis | 0.013 (0.014) | 0.011 (0.014) | −0.000 (0.015) | 0.012 (0.015) | 0.015 (0.015) | 0.022 (0.016) |
 Patents | 0.011 (0.009) | 0.011 (0.009) | 0.012 (0.009) | 0.013 (0.009) | 0.015 (0.009) | 0.018 * (0.009) |
Individual attributes | ||||||
 Gender (female) |  | 0.110 (0.134) | −2.095 (1.428) | −2.102 (1.449) | −0.524 (1.659) | −0.315 (1.675) |
 Age |  |  | 0.025 (0.029) | 0.02 (0.029) | 0.014 (0.030) | 0.013 (0.030) |
 Seniority |  |  | 0.369*** (0.108) | 0.331*** (0.109) | 0.323*** (0.111) | 0.336*** (0.112) |
 Gender (female) * Age |  |  | 0.056* (0.033) | 0.059* (0.034) | 0.05 (0.035) | 0.047 (0.035) |
 Gender (female) * Seniority |  |  | −0.052 (0.035) | −0.062* (0.035) | −0.051 (0.037) | −0.051 (0.037) |
 Age * Seniority |  |  | −0.006*** (0.002) | −0.005*** (0.002) | −0.005** (0.002) | −0.005** (0.002) |
Competitive conditions | ||||||
 Competitive pressure |  |  |  | −0.264*** (0.050) | −0.267*** (0.052) | −0.271*** (0.054) |
Evaluation panels and connections | ||||||
 % Females (on the panel) |  |  |  |  | 0.001 (0.008) | 0.004 (0.009) |
 Gender (female) * % Females (on the panel) |  |  |  |  | −0.027** (0.013) | −0.026** (0.013) |
 Same institute evaluator |  |  |  |  | 0.428*** (0.161) | 0.465*** (0.164) |
 Same institute panel chair |  |  |  |  | 0.332 (0.205) | 0.324 (0.211) |
 Another candidate (same institute) |  |  |  |  | −0.141 (0.193) | −0.121 (0.195) |
Science domains (Ref: BIO) | ||||||
 FOOD |  |  |  |  |  | −0.509 (0.355) |
 MATER |  |  |  |  |  | −0.020 (0.308) |
 PHYSIC |  |  |  |  |  | 0.159 (0.267) |
 CHEM |  |  |  |  |  | −0.319 (0.310) |
 AGRO |  |  |  |  |  | −0.074 (0.278) |
 HUM&SS |  |  |  |  |  | 0.215 (0.303) |
 NAT.RES |  |  |  |  |  | 0.001 (0.256) |
 Constant | −2.325*** (0.168) | −2.373*** (0.179) | −4.410*** (1.383) | −2.973** (1.423) | −2.973* (1.525) | −3.189** (1.558) |
 Observations | 1,377 | 1,377 | 1,377 | 1,377 | 1,377 | 1,377 |
 Contests | 51 | 51 | 51 | 51 | 51 | 51 |
 Log likelihood | −747.725 | −747.389 | −738.895 | −722.658 | −709.807 | −706.646 |
 Pseudo R2 | 0.073 | 0.073 | 0.084 | 0.104 | 0.120 | 0.124 |
