Machine-learning analysis of leadership formation in China to parse the roles of loyalty and institutional norms by Lee, Jonghyuk, Shih, Victor C.

“…This study contributes to the discourse by adopting machine-learning techniques to quantitatively and systematically evaluate the promotion prospects of Chinese high-ranking officials. By incorporating over 250 individual features of approximately 20,000 high-ranking positions from 1982 to 2020, this paper calculated predicted probabilities of promotion for the 19th Politburo members of the Communist Party of China. …”
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