Time-Invariant Models, Time-Varying Effects: The Reversal of Network Embeddedness across Professional Careers

Read full text
Authors: Joonhyung Bae
Cited by: 0

Abstract

Research on the career network treats the effect of the relational structure on outcomes as invariant with time.Among 495 elite Korean artists over seven decades (1929--2002), the association between network stability and career plateau risk is absent early but strengthens monotonically from year~10 to year~20, while network size remains protective throughout.The pooled coefficient averages over these stages, describing a statistical artifact that corresponds to no actual career phase, regardless of causal direction.Bidirectional feedback between network consolidation and productivity decline intensifies over career time, constraining all admissible causal models.Quasi-experimental evidence from institution closures supports \textit{evaluative redundancy---diminishing} returns from repeated endorsements by the same gatekeepers---as a forward-acting pathway.The association escalates across the achievement distribution.A pilot replication in the film industry supports the phase reversal: a data-driven change-point model identifies overlapping thresholds in both datasets, and a structural break test confirms the pattern.Replication code and data: https://github.com/joonhyungbae/TITV

Fields of Study & Subjects

Social Capital and Networks Complex Network Analysis Techniques Intergenerational and Educational Inequality Studies

Publication details

Publication date
10 February 2026
Language
EN
Document type
Preprint