Tu Anh Doan Nguyen, Alessandro Bucciol
arXiv 18 Oct 2026 · Econometrics
arXiv:2610.25238 · PDF · Extracted main text
VAR-LiNGAM recovers a contemporaneous structure from reduced-form innovations under mutual independence of the underlying structural shocks. Recovery itself and bootstrap stability of the recovered edges are natural post-estimation outputs, but neither directly assesses the identifying independence assumption. We organize post-recovery validation as an ordered, non-compensatory protocol with four layers (reduced-form admissibility, distributional informativeness, independence support and edge persistence) and establish, by a constructive population result, a Monte Carlo experiment under known ground truth and a firm-level Compustat application, that the last two layers are non-nested: an edge can persist under resampling while the recovered shocks remain dependent, and independence can be supported while the leading recovered edge fails to persist. Independence support is classified operationally by a block-permutation dHSIC diagnostic on the recovered shocks, with mutual information as a continuous measure of residual dependence and tail co-exceedance as a complementary extreme-dependence diagnostic. Empirically, the conjunction of no detected independence violation and a reportable persistent leading edge occurs only in a small subset.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Hyvärinen, A., K. Zhang, S. Shimizu and P. O. Hoyer (2010) Estimation of a structural vector autoregression model using non-Gaussianity | 0.928 | 5 | 5 | 80% |
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