We study how author connections influence paper outcomes at the Journal of Human Resources. Authors who attended the same PhD program, worked with, affiliate with the same National Bureau of Economic Research program(s), or are closely linked via coauthorship networks as the handling editor are more likely to avoid a desk rejection. Reviewer recommendations are similarly influenced by PhD and employment matches. Matching on signals of ability—such as top five publishing, attending a high-ranked PhD program, or working in a high-ranked department—also impact peer review decisions. We find some evidence that published papers with greater connectivity subsequently receive fewer citations.

We study the effect of exposure to immigrants on the educational outcomes of U.S.-born students, using a unique dataset combining population-level birth and school records from Florida. This research question is complicated by the substantial school selection of U.S.-born students, especially among White and comparatively affluent students, in response to the presence of immigrant students in the school. We propose a new identification strategy, comparing sibling outcomes with the inclusion of family fixed effects, to partial out the unobserved non-random selection of native-born families into schools. We find that the presence of immigrant students has a positive effect on the academic achievement of U.S.-born students, especially for students from disadvantaged backgrounds. Moreover, the presence of immigrants does not negatively affect the performance of affluent U.S.-born students, who typically show a higher academic achievement compared to immigrant students. We provide suggestive evidence on potential channels.