Abstract
Our study contributes to assessing the causal impact of economic incentives supporting mobility on researchers’ careers. A Regression Discontinuity Design analysis, exploiting unique rich data on a Swiss mobility grant program, shows that grant recipients enlarge their co-authorship networks, whereas no significant effects on scientific productivity and on placement are found.
| Original language | English |
|---|---|
| Journal | Academy of Management Proceedings |
| Volume | 2017 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 31 Oct 2017 |
| Event | 77th Annual Meeting of the Academy of Management, AOM 2017 - Atlanta, USA United States Duration: 4 Aug 2017 → 8 Aug 2017 |
Funding
We conduct our study in the Swiss context, using the data provided by SNSF. SNSF is the leading Swiss institution supporting national scientific research. It plays the same role in Switzerland as that played by the National Science Foundation (NSF) in the United States. The foundation allocates more than 150 CHF million per year, corresponding to 20% of its total budget, to promote young researchers’ activity and careers. The policy instrument in which we are interested, the “Advanced Postdoc Mobility’’ fellowships, represent one of the flagship SNSF instruments supporting young researchers staying abroad. Awarded researchers receive a scholarship to stay abroad at an institution of their choice. Applicants should hold a doctoral degree, should demonstrate at least one year of research experience at the postdoctoral level and should have Swiss nationality or proof of at least three years of activity at a Swiss research institution. Applicants’ evaluation is centralized in Bern. The National Research Council (NRC) of the SNSF is responsible for the scientific evaluation of all applications. Applications in all disciplines are admitted and assigned for evaluation to one of three NRC divisions: (i) Humanities and Social Sciences, (ii) Mathematics, Natural and Engineering Sciences and (iii) Biology and Medicine. Each application is evaluated based on (i) the quality and originality of the research project, (ii) the applicant’s scientific publication record, (iii) the applicant’s career perspectives, (iv) the applicant’s attitude versus academic career and (v) the quality of the proposed hosting research institution. To select the best applications, the NRC solicits two external reviews, who assign to each application a priority score on a scale of 7 distinct values. The two non-blind peer reviews are collected by the NRC, which assigns the final score independently.
ASJC Scopus subject areas
- Management of Technology and Innovation
- Industrial relations
- Management Information Systems
