Replication Data for Chapter 3: LOCAL GAINS FROM GLOBAL MINDS - THE IMPACT OF COLLABORATING WITH FOREIGN-EDUCATED RESEARCHERS ON NON-MOBILE RESEARCHERS’ PERFORMANCE

We build a unique dataset, reconstructing mobility patterns and scientific performance from national centralized CV repository data and national funding agencies’ records, combined with bibliometric data from OpenAlex. Our empirical strategy combines two methods – Nearest Neighborhood Matching (Rubin, 1973) and a Difference-in-Differences with multiple time periods estimator (Callaway & Sant’Anna, 108 2021).

Establishing a causal link between co-authoring with a foreign-educated researcher and scientific outcomes (if any) for non-mobile researchers is challenging because these foreign-educated researchers do not randomly select their co-authors. We leverage Propensity Score Matching (PSM) to build comparable groups of non-mobile researchers who co-authored with at least one foreigneducated researcher (treated) and those who never co-authored (control).