EconPapers    
Economics at your fingertips  
 

A revival of the autoregressive distributed lag model in estimating energy demand relationships

Jan Bentzen and Tom Engsted

Energy, 2001, vol. 26, issue 1, 45-55

Abstract: The findings in the recent energy economics literature that energy economic variables are non-stationary, have led to an implicit or explicit dismissal of the standard autoregressive distributed lag (ARDL) model in estimating energy demand relationships. Recent research, however, shows that the ARDL model remains valid when the underlying variables are non-stationary, provided the variables are cointegrated. In this paper, we use the ARDL approach to estimate a demand relationship for Danish residential energy consumption, and the ARDL estimates are compared to the estimates obtained using cointegration techniques and error-correction models (ECM's). It turns out that both quantitatively and qualitatively, the ARDL approach and the cointegration/ECM approach give very similar results.

Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (121)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544200000529
Full text for ScienceDirect subscribers only

Related works:
Working Paper: A Revival of the Autoregressive Distributed Lag Model in Estimating Energy Demand Relationships (1999)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:26:y:2001:i:1:p:45-55

DOI: 10.1016/S0360-5442(00)00052-9

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:energy:v:26:y:2001:i:1:p:45-55