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Principled Identification of Structural Dynamic Models

Neville Francis, Peter Reinhard Hansen, Chen Tong

arXiv 18 Dec 2025 · Econometrics

arXiv:2512.17005 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We take a new perspective on identification in structural dynamic models: rather than imposing restrictions, we optimize an objective. This provides new theoretical insights into traditional Cholesky identification. A correlation-maximizing objective yields an Order- and Scale-Invariant Identification Scheme (OASIS) that selects the orthogonal rotation that best aligns structural shocks with their reduced-form innovations. We revisit a large number of SVAR studies and find, across 22 published SVARs, that the correlations between structural and reduced-form shocks are generally high.

Citation extraction

79
references
123
in-text mentions
79
distinct cited
5
self-citations
16,185
main-text words

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Most heavily cited references

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.

ReferenceIntensityMentionsSectionsMain text
1Mertens, K. and Ravn, M. O (2013) The dynamic effects of personal and corporate income tax changes in the united states1.00083100%
2Stock, J. H. and Watson, M. W (2012) Disentangling the channels of the 2007–2009 recession0.96510490%
3Leeper, E., Sims, C., and Zha, T (1996) What does monetary policy do?0.64441100%
4Blanchard, O. J. and Perotti, R (2002) An empirical characterization of the dynamic effects of changes in government spending and taxes on output0.64441100%
5Bernanke, B. S (1986) Alternative explanations of the money-income correlation0.64422100%
6Chan, J. C. C., Koop, G., and Yu, X (2024) Large order-invariant Bayesian VARs with stochastic volatility0.64422100%
7Fry, R. and Pagan, A (2011) Sign restrictions in structural vector autoregressions: A critical review0.64422100%
8Kessy, A., Lewin, A., and Strimmer, K (2018) Optimal whitening and decorrelation0.64422100%
9Basu, S. and Bundick, B (2017) Uncertainty shocks in a model of effective demand0.64422100%
10Engle, R. F. and Issler, J. V (1995) Estimating common sectoral cycles0.58531100%

Showing the top 10 of 79 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Simultaneous Clustered Orthogonalization1.000127