Generalized Varying Coefficient Mediation Models
Motivated by an analysis of causal mechanism from economic stress to entrepreneurial withdrawals through depressed affect, we develop a two-layer generalized varying coefficient mediation model. This model captures the bridging effects of mediators that may vary with another variable, by treating them as smooth functions of this variable. It also allows various response types by introducing the generalized varying coefficient model in the first layer. The varying direct and indirect effects are estimated through spline expansion. The theoretical properties of the estimated direct and indirect coefficient functions including estimation biases, asymptotic distributions and so forth, are explored. Simulation studies validate the finite-sample performance of the proposed estimation method. A real data analysis based on the proposed model discovers some interesting behavioral economic phenomenon, that self-efficacy influences the deleterious impact of economic stress, both directly and indirectly through depressed affect, on business owners’ withdrawal intentions.
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s40304-023-00366-2
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Work Title Generalized Varying Coefficient Mediation Models Access Creators - Jingyuan Liu
- Yujie Liao
- Runze Li
Keyword - Mediation analysis
- Varying coefficient model
- Direct and indirect effect
- Generalized linear model
License In Copyright (Rights Reserved) Work Type Article Publisher - Communications in Mathematics and Statistics
Publication Date February 20, 2024 Publisher Identifier (DOI) - https://doi.org/10.1007/s40304-023-00366-2
Deposited January 11, 2026 Versions
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Version 1
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Updated Keyword Show ChangesKeyword
- Mediation analysis, Varying coefficient model, Direct and indirect effect, Generalized linear model
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Updated Creator Jingyuan Liu
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Updated Creator Yujie Liao
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