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Table 6. 
Results of the OLS regression models based on expert scores
 (1)(2)(3)(4)
Degree 0.452*** (0.062) – 0.420*** (0.060) – 
Eigenvector – 0.516*** (0.062) – 0.463*** (0.059) 
Coord. experience 0.282*** (0.076) 0.262*** (0.076) 0.272*** (0.076) 0.252*** (0.076) 
Acquaintance −0.002** (0.001) −0.001** (0.001) −0.002** (0.001) −0.002** (0.001) 
Partnership initiative 0.250 (0.137) 0.260* (0.137) 0.231* (0.138) 0.235* (0.138) 
Science excellence 0.120** (0.049) 0.109** (0.049) 0.105** (0.049) 0.091* (0.049) 
Patents 0.000 (0.000) 0.000 (0.000) 0.000 (0.000) 0.000 (0.000) 
REC 0.008** (0.003) 0.007** (0.003) 0.016*** (0.003) 0.017*** (0.003) 
PRC – – 0.008*** (0.002) 0.009*** (0.002) 
HES −0.009*** (0.002) −0.012*** (0.002) – – 
CEE countries −0.232*** (0.027) −0.222*** (0.027) −0.237*** (0.027) −0.230*** (0.027) 
Project size −0.000*** (0.000) −0.000*** (0.000) −0.000*** (0.000) −0.000*** (0.000) 
Consortium size 0.151*** (0.014) 0.148*** (0.014) 0.160*** (0.014) 0.159*** (0.014) 
Constant 6.877*** (0.329) 10.571*** (0.294) 6.263*** (0.364) 9.436*** (0.203) 
R2 0.091 0.093 0.090 0.092 
AIC 5.040 5.040 5.040 5.040 
 (1)(2)(3)(4)
Degree 0.452*** (0.062) – 0.420*** (0.060) – 
Eigenvector – 0.516*** (0.062) – 0.463*** (0.059) 
Coord. experience 0.282*** (0.076) 0.262*** (0.076) 0.272*** (0.076) 0.252*** (0.076) 
Acquaintance −0.002** (0.001) −0.001** (0.001) −0.002** (0.001) −0.002** (0.001) 
Partnership initiative 0.250 (0.137) 0.260* (0.137) 0.231* (0.138) 0.235* (0.138) 
Science excellence 0.120** (0.049) 0.109** (0.049) 0.105** (0.049) 0.091* (0.049) 
Patents 0.000 (0.000) 0.000 (0.000) 0.000 (0.000) 0.000 (0.000) 
REC 0.008** (0.003) 0.007** (0.003) 0.016*** (0.003) 0.017*** (0.003) 
PRC – – 0.008*** (0.002) 0.009*** (0.002) 
HES −0.009*** (0.002) −0.012*** (0.002) – – 
CEE countries −0.232*** (0.027) −0.222*** (0.027) −0.237*** (0.027) −0.230*** (0.027) 
Project size −0.000*** (0.000) −0.000*** (0.000) −0.000*** (0.000) −0.000*** (0.000) 
Consortium size 0.151*** (0.014) 0.148*** (0.014) 0.160*** (0.014) 0.159*** (0.014) 
Constant 6.877*** (0.329) 10.571*** (0.294) 6.263*** (0.364) 9.436*** (0.203) 
R2 0.091 0.093 0.090 0.092 
AIC 5.040 5.040 5.040 5.040 

Notes: OLS regression based on expert scores as in Eq. 2. Dummy variables for the different H2020 programs are included in all model variants as controls. Standard errors in parentheses; Asymptotic standard errors given in brackets; *** significant at the .01 level, ** significant at the .05 level, * significant at the .1 level.

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