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Improved tests for Granger noncausality in panel data

delete2023-04-05
delete39
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OA
AI
J
Jiaqi Xiao *
J
Juodis, Arturas
Y
Yiannis Karavias
V
Vasilis Sarafidis
D
Ditzen, Jan
DOI:10.1177/1536867X231162034delete
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摘要

摘要

En 中文
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 vNT 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.
Keyword:
st0706
xtgrangert
xtgrangert postestimation
panel data
Granger causality
Nickell bias
heterogeneous panels
half-panel jackknife
cross-section dependence

期刊

S
Stata Journal
IF:
2.4
论文数:
1.2K
被引数:
8.4K

机构

U
University of Birmingham
学者数:
4.1W
论文数: 3.8W
被引数: 5.0W
U
university of amsterdam
学者数:
6.0W
论文数: 5.1W
被引数: 94
F
Free University of Bozen-Bolzano
学者数:
2.8K
论文数: 2.6K
被引数: 6
BI Norwegian Business School 封面图
BI Norwegian Business School
学者数:
815
论文数: 1.3K
被引数: 2.0K
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