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Working Paper
Institution, Major, and Firm-Specific Premia: Evidence from Administrative Data
We examine how a student's field of degree and institution attended contribute to the labor market outcomes of young graduates. Administrative panel data that combines student transcripts with matched employer-employee records allow us to provide the first decomposition of premia into individual and firm-specific components. We find that both major and institutional premia are more strongly related to the firm-specific component of wages than the individual-specific component of wages. On average, a student's major is a more important predictor of future wages than the selectivity of the ...
Working Paper
Institution, Major, and Firm-Specific Premia: Evidence from Administrative Data
We examine how a student?s major and the institution attended contribute to the labor market outcomes of young graduates. Administrative panel data that combine student transcripts with matched employer-employee records allow us to provide the first decomposition of premia into individual and firm-specific components. We find that both major and institutional premia are more strongly related to the firm-specific component of wages than the individual-specific component of wages. On average, a student?s major is a more important predictor of future wages than the selectivity of the institution ...
Working Paper
College Networks and Re-employment of Displaced Workers
We provide the first evidence on the role of college networks in the re-employment of displaced workers. An extensive literature examines the consequences of layoffs, but the factors which facilitate re-employment are relatively under-studied. Using administrative data and a cross-cohort design, we find that network connections with actively-hiring employers increase the re-employment rate. This result is driven by re-employment at contact’s firms suggesting that a stronger network does not improve worker quality more broadly. These results suggest that college has the potential to improve ...