Improved Tests for Granger Non-Causality in Panel Data

Xiao, Jiaqi and Juodis, Arturas and Karavias, Yiannis and Sarafidis, Vasilis and Ditzen, Jan (2022): Improved Tests for Granger Non-Causality in Panel Data.

Abstract

This article introduces the xtgranger command in Stata, which implements the panel Granger non-causality test approach developed by Juodis et al. (2021). This test offers superior size and power performance to existing tests, which stems from the use of a pooled estimator that has a faster sqrt(NT) convergence rate. The test has several other useful properties; it can be used in multivariate systems, it has power against both homogeneous as well as heterogeneous alternatives, and it allows for cross-section dependence and cross-section heteroskedasticity.

• Item Type: MPRA Paper
• Language: English
• Keywords: Panel data, Granger causality, Nickell bias, Heterogeneous panels, Halfpanel Jackknife, Cross-section dependence, xtgranger.
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C12 - Hypothesis Testing: General; C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models; C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C33 - Panel Data Models ; Spatio-temporal Models; G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages

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