Predictive Testing for Granger Causality via Posterior Simulation and Cross-validation
ISBN: 978-1-78973-242-9, eISBN: 978-1-78973-241-2
Publication date: 30 August 2019
Abstract
This chapter develops a predictive approach to Granger causality (GC) testing that utilizes
Keywords
Acknowledgements
Acknowledgments
The authors gratefully acknowledge support from the Taft Fund, University of Cincinnati, and feedback from Rick Ashley and participants at the Midwest Econometrics Group Meetings. Any views expressed here are those of the authors and not necessarily those of the Bureau of Economic Analysis or US Department of Commerce.
Citation
Cornwall, G.J., Mills, J.A., Sauley, B.A. and Weng, H. (2019), "Predictive Testing for Granger Causality via Posterior Simulation and Cross-validation", Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A (Advances in Econometrics, Vol. 40A), Emerald Publishing Limited, Leeds, pp. 275-292. https://doi.org/10.1108/S0731-90532019000040A012
Publisher
:Emerald Publishing Limited
Copyright © 2019 Emerald Publishing Limited