Improved tests for Granger noncausality in panel data
Improved tests for Granger noncausality in panel data
Jiaqi Xiao,Yiannis Karavias,2 Authors,Jan Ditzen
2023 · DOI: 10.1177/1536867X231162034
The Stata Journal · 89 Citations
Abstract
In this article, we introduce the xtgrangert command, which implements the panel Granger noncausality testing approach developed by Juodis, Karavias, and Sarafidis (2021, Empirical Economics 60: 93–112). This test offers superior size and power performance to existing tests, which stem from the use of a pooled estimator that has a faster N T convergence rate. The test has several other useful properties: it can be used in multivariate systems; it has power against both homogeneous and heterogeneous alternatives; and it allows for cross-section dependence and cross-section heteroskedasticity.
