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Time-varying parameter Toda-Yamamoto causality/Evidence
Method evidence record

Time-varying parameter Toda-Yamamoto causality

The TVP Toda-Yamamoto causality test combines Toda and Yamamoto's (1995) augmented VAR approach — which handles possibly integrated or cointegrated series without pre-testing for unit roots — with time-varying parameters, allowing causal relationships between variables to shift across different periods rather than remaining fixed throughout the sample.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Time-Varying Parameter Toda-Yamamoto Granger Causality Test
Taxonomic method record · regression-model / econometrics
  • Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250. · DOI 10.1016/0304-4076(94)01616-8
  • Adebayo, T. S., & Acheampong, A. O. (2022). Modelling the globalization-emissions nexus: Fresh insights from the novel dynamic ARDL simulations and the Toda-Yamamoto causality approaches. Environmental Science and Pollution Research, 29(3), 3825-3840. · URL
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyGranger Causalitymachine-suggested · Relational suggestion, not evidence.Used in the same domainToda-Yamamoto Causalitymachine-suggested · Relational suggestion, not evidence.Same method familyVAR Modelmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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