Research is increasingly conducted by teams. Consequently, there is growing interest in the mechanisms underlying research team formation. In a new NBER working paper, my co-authors and I explore one potential mechanism: participation in research funding contests. Such contests may promote collaboration for several reasons:
These arguments suggest that the members of more successful proposal teams are more likely to become co-authors. We test this hypothesis empirically, using data from New Zealand. Our data include Scopus publication records on New Zealand researchers and their international co-authors. We link these records to data on applications to the Marsden Fund, the premiere source of funding for basic research in New Zealand.
In our data, researchers with more successful Marsden Fund applications tended to have more co-authors. However, this tendency may be driven by confounding factors, such as researchers’ ability to generate publishable research. We control for such factors by analysing co-authorship dynamics econometrically. Specifically, we use dyadic regression to estimate how the probability that pairs of researchers co-author in a given year varies with their observable characteristics. Pairs were more likely to co-author in a given year if
The fifth bullet implies negative assortative mixing among the researchers in our data, which we suspect arises due to inter-generational collaboration (e.g., professors working with graduate students and post-docs).
On average, pairs were 13.8 percentage points more likely to co-author in a given year if they co-submitted Marsden Fund proposals during the previous ten years than if they did not. This co-authorship rate was not significantly larger among pairs who received funding. However, increasing the lag between our outcome and explanatory variables delivers the opposite result: funding receipt, rather than proposal submission, promotes co-authorship. As discussed in our paper, these patterns suggest that the “treatment effect” of research funding contest participation on co-authorship is limited to successful participants only.
Our analysis has both technical and policy implications. On the technical side, we discuss some empirical problems that arise when analysing co-authorship networks, offer solutions to these problems, and discuss how these solutions affect our inferences. On the policy side, we show how science funding schemes can influence how researchers choose collaborators, which may have long-term effects on how science and innovation systems evolve.