Abstract
We compare the scientific productivity of PhD students who are hired from a fine-grained set of mutually exclusive affiliation types: a PhD supervisor's affiliation, an external affiliation from which the supervisor derives her coauthors, and an external affiliation with which the supervisor has no coauthorship ties. Using a novel dataset of science and engineering PhD students who graduated from two major Swiss universities, we find that the most productive PhD category is the one made of students who are affiliated with universities other than their supervisors' affiliation, but from which the PhD supervisors derive their coauthors. This result suggests an inverted U-shaped relationship between PhD students' productivity and the social distance from their supervisors. Additionally, we find evidence consistent with the role of supervisors' coauthor networks in resolving information asymmetries regarding PhD talent.
| Original language | English |
|---|---|
| Pages (from-to) | 785-796 |
| Number of pages | 12 |
| Journal | Research Policy |
| Volume | 45 |
| Issue number | 4 |
| Early online date | 2 Feb 2016 |
| DOIs | |
| Publication status | E-pub ahead of print - 2 Feb 2016 |
Keywords
- PhD students
- Scientific productivity
- Supervisors' networks
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Management of Technology and Innovation
Cite this
The productivity of science & engineering PhD students hired from supervisors' networks. / Baruffaldi, Stefano; Visentin, Fabiana; Conti, Annamaria.
In: Research Policy, Vol. 45, No. 4, 02.02.2016, p. 785-796.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - The productivity of science & engineering PhD students hired from supervisors' networks
AU - Baruffaldi, Stefano
AU - Visentin, Fabiana
AU - Conti, Annamaria
PY - 2016/2/2
Y1 - 2016/2/2
N2 - We compare the scientific productivity of PhD students who are hired from a fine-grained set of mutually exclusive affiliation types: a PhD supervisor's affiliation, an external affiliation from which the supervisor derives her coauthors, and an external affiliation with which the supervisor has no coauthorship ties. Using a novel dataset of science and engineering PhD students who graduated from two major Swiss universities, we find that the most productive PhD category is the one made of students who are affiliated with universities other than their supervisors' affiliation, but from which the PhD supervisors derive their coauthors. This result suggests an inverted U-shaped relationship between PhD students' productivity and the social distance from their supervisors. Additionally, we find evidence consistent with the role of supervisors' coauthor networks in resolving information asymmetries regarding PhD talent.
AB - We compare the scientific productivity of PhD students who are hired from a fine-grained set of mutually exclusive affiliation types: a PhD supervisor's affiliation, an external affiliation from which the supervisor derives her coauthors, and an external affiliation with which the supervisor has no coauthorship ties. Using a novel dataset of science and engineering PhD students who graduated from two major Swiss universities, we find that the most productive PhD category is the one made of students who are affiliated with universities other than their supervisors' affiliation, but from which the PhD supervisors derive their coauthors. This result suggests an inverted U-shaped relationship between PhD students' productivity and the social distance from their supervisors. Additionally, we find evidence consistent with the role of supervisors' coauthor networks in resolving information asymmetries regarding PhD talent.
KW - PhD students
KW - Scientific productivity
KW - Supervisors' networks
UR - http://www.scopus.com/inward/record.url?scp=84959420483&partnerID=8YFLogxK
U2 - 10.1016/j.respol.2015.12.006
DO - 10.1016/j.respol.2015.12.006
M3 - Article
VL - 45
SP - 785
EP - 796
JO - Research Policy
JF - Research Policy
SN - 0048-7333
IS - 4
ER -