Table 2 Results of the multiple regression analysis with robust standard errors
From: Interdisciplinarity revisited: evidence for research impact and dynamism
Variables | Coeff. | S.E. |
|---|---|---|
Interdisciplinarity (Δ) | 0.186*** | (0.0354) |
IntlCollab | 0.558*** | (0.0888) |
IntlCiting | −1.463*** | (0.312) |
Year = 2012 (dummy) | −0.176*** | (0.0393) |
Year = 2016 (dummy) | 0.0375 | (0.0358) |
‘Research Area’ control set (\({\mathtt{R}}\)) | ||
Env. and Geo. Sciences | 1.245*** | (0.141) |
Physics and Space Sciences | 1.430*** | (0.131) |
Comp. and Math | 1.334*** | (0.137) |
Engineering | 1.287*** | (0.137) |
Materials Science | 1.420*** | (0.172) |
Chemistry | 1.418*** | (0.135) |
Clinical Medicine | 1.225*** | (0.137) |
Basic Life Sciences | 1.095*** | (0.129) |
‘Country’ control set (\({\mathtt{C}}\)) | ||
US | 0.351*** | (0.0853) |
France | 0.208 | (0.181) |
UK | 0.428** | (0.156) |
Germany | 0.0416 | (0.164) |
Japan | 0.165 | (0.180) |
South Korea | −0.677*** | (0.151) |
China | −0.227* | (0.109) |
Constant | −0.129 | (0.181) |
Observations (n) | 2560 | |
Adjusted-R2 | 0.201 | |
