Specifying Social Weight Matrices of Researcher Networks: The Case of Academic Economists
No 2017-10, Working Paper Series of the Department of Economics, University of Konstanz from Department of Economics, University of Konstanz
This paper shows how collaboration and citation networks can be used to specify social weight matrices for a community of researchers. I use two competing theories of social influence on individual behavior, namely communication and comparison. I argue that in research networks collaboration captures communication, while citation captures comparison. I further argue that the comparison principle is likely to be the main social driver of individual research productivity and suggest a benchmark social weight matrix based on this principle. I test the benchmark matrix against several alternatives using a Bayesian model comparison procedure and conclude that the benchmark matrix outperforms alternative specifications. This result lends support to socio-economic theories underling the benchmark specification of the social weight matrix.
Keywords: collaboration and citation networks; social weight matrix; network autocorrelation; research productivity (search for similar items in EconPapers)
JEL-codes: C21 D83 I23 (search for similar items in EconPapers)
Pages: 26 pages
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Persistent link: https://EconPapers.repec.org/RePEc:knz:dpteco:1710
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