Regression modelEconometrics / time series

Panel Toda-Yamamoto Causality Test

The Panel Toda-Yamamoto (PTY) causality test extends the Toda-Yamamoto modified Wald approach to panel data, allowing researchers to test Granger non-causality across multiple cross-sectional units without requiring pre-testing for cointegration or imposing a common causality direction on all units.

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Sources

  1. 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
  2. Konya, L. (2006). Exports and growth: Granger causality analysis on OECD countries with a panel data approach. Economic Modelling, 23(6), 978-992. DOI: 10.1016/j.econmod.2006.04.008

Related methods

ScholarGatePanel Toda-Yamamoto Causality (Panel Toda-Yamamoto Granger Non-Causality Test). Retrieved 2026-06-04 from https://scholargate.app/tr/econometrics/panel-toda-yamamoto-causality