Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application

@article{Hacker2006TestsFC,
  title={Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application},
  author={R. Scott Hacker and Abdulnasser Hatemi‐J},
  journal={Applied Economics},
  year={2006},
  volume={38},
  pages={1489 - 1500}
}
Causality tests in the Granger's sense are increasingly applied in empirical research. Since the unit root revolution in time-series analysis, several modifications of tests for causality have been introduced in the literature. One of the recent developments is the Toda–Yamamoto modified Wald (MWALD) test, which is attractive due to its simple application, its absence of pre-testing distortions, and its basis on a standard asymptotical distribution irrespective of the number of unit roots and… 
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