Testing for Granger Non-causality in Heterogeneous Panels

This paper proposes a very simple test of Granger (1969) non-causality for hetero- geneous panel data models. Our test statistic is based on the individual Wald statistics of Granger non causality averaged across the cross-section units. First, this statistic is shown to converge sequentially to a standard normal distribution. Second, the semi- asymptotic distribution of the average statistic is characterized for a fixed T sample. A standardized statistic based on an approximation of the moments of Wald statistics is hence proposed. Third, Monte Carlo experiments show that our standardized panel statistics have very good small sample properties, even in the presence of cross-sectional dependence.

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Additional Info

Field Value
Source https://shs.hal.science/halshs-00224434
Author Dumitrescu, Elena, Hurlin, Christophe
Maintainer CCSD
Last Updated May 27, 2026, 06:07 (UTC)
Created May 27, 2026, 06:07 (UTC)
Identifier halshs-00224434
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire d'Économie d'Orleans [UMR7322] (LEO) ; Université d'Orléans (UO)-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS)
creator Dumitrescu, Elena
date 2012-05-27T00:00:00
harvest_object_id d43bc7cd-6e1f-446f-8278-f80fa2f6bf41
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-14T00:00:00
set_spec type:UNDEFINED