A homogeneous approach to testing for Granger non-causality in heterogeneous panels
Year of publication: |
2021
|
---|---|
Authors: | Juodis, Artūras ; Karavias, Yiannis ; Sarafidis, Vasilis |
Published in: |
Empirical economics : a quarterly journal of the Institute for Advanced Studies. - Berlin : Springer, ISSN 1435-8921, ZDB-ID 1462176-9. - Vol. 60.2021, 1, p. 93-112
|
Subject: | Panel data | Granger causality | VAR | "Nickell bias" | Bias correction | Fixed effects | Kausalanalyse | Causality analysis | Panel | Panel study | Systematischer Fehler | Bias | VAR-Modell | VAR model | Statistischer Test | Statistical test | Monte-Carlo-Simulation | Monte Carlo simulation | Schätztheorie | Estimation theory |
-
A homogeneous approach to testing for granger non-causality in heterogeneous panels
Juodis, Artūras, (2020)
-
Asymptotically unbiased inference for a panel VAR model with p lags
Cubillos-Rocha, Juan Sebastian, (2018)
-
First difference transformation in panel VAR models : robustness, estimation, and inference
Juodis, Artūras, (2018)
- More ...
-
A homogeneous approach to testing for granger non-causality in heterogeneous panels
Juodis, Artūras, (2020)
-
Partially heterogeneous tests for granger non-causality in panel data
Juodis, Artūras, (2019)
-
A Homogeneous Approach to Testing for Granger Non-Causality in Heterogeneous Panels
Juodis, Arturas, (2020)
- More ...