Revisiting energy consumption and GDP causality: Importance of a priori hypothesis testing, disaggregated data, and heterogeneous panels

Download
Full text for this resource is not available from the Research Repository.
Export

Liddle, Brantley and Lung, Sidney ORCID: 0000-0001-6393-1927 (2015) Revisiting energy consumption and GDP causality: Importance of a priori hypothesis testing, disaggregated data, and heterogeneous panels. Applied Energy, 142. 44 - 55. ISSN 0306-2619

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/31639
DOI 10.1016/j.apenergy.2014.12.036
Official URL http://www.sciencedirect.com/science/article/pii/S...
Subjects Historical > Faculty/School/Research Centre/Department > School of Economics and Finance
Historical > FOR Classification > 1402 Applied Economics
Historical > Faculty/School/Research Centre/Department > Centre for Strategic Economic Studies (CSES)
Keywords panel long-run causality; aggregate energy consumption; aggregate output; modeling framework
Citations in Scopus 45 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login

CORE (COnnecting REpositories)