Application of spatial econometric methods to analyze factors attracting young faculty to Russian universities

Anastasia Byvaltseva-Stankevich (abyvaltseva@hse.ru) and Anna Panova (apanova@hse.ru)
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Anastasia Byvaltseva-Stankevich: HSE University, Moscow, Russian Federation
Anna Panova: HSE University, Moscow, Russian Federation

Applied Econometrics, 2025, vol. 77, 91-115

Abstract: The aging of university faculty is an important problem. This studies the issue of attracting young faculty to leading and non-leading Russian universities in 2014–2022. This is the first work that applies spatial econometric methods using data from the Russian higher education sector, allowing for the consideration of interdependence among universities. Three different weight matrices are used — neighborhood matrix, five nearest neighbors matrix, and inverse distances matrix. An important methodological aspect is the adaptation of matrices built on macrodata (regions) to mesodata (universities). The results of the regression analysis are robust to the change of spatial matrices. There is a spatial dependence between Russian universities, it is especially sound within two separate clusters: leading and non-leading universities, and leading universities appear to be in a situation of competition with each other for young faculty. In order to attract young faculty, Russian universities may increase the remuneration level and decrease the pressure regarding young scholars’ publishing activity.

Keywords: spatial econometrics; Russian universities; young faculty (search for similar items in EconPapers)
JEL-codes: C33 I23 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:ris:apltrx:0517

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