Artikel

Accounting for nonlinearity, asymmetry, heterogeneity, and cross-sectional dependence in energy modeling: US state-level panel analysis

This paper provides an example of several modeling and econometric advances used in the panel estimation of energy demand elasticities. The paper models the demand of total, industrial, and transport energy consumption and residential and commercial electricity consumption by analyzing US state-based panel data. The paper employs recently developed dynamic panel methods that address heterogeneity, nonstationarity, and cross-sectional dependence. In addition, the paper (i) considers possible nonlinear relationships between energy consumption and income without employing polynomial transformations of integrated income; and (ii) allows for and calculates possible asymmetric relationships between energy consumption and price. Finally, the paper models energy efficiency improvements by a nonlinear time trend. To our knowledge no other paper has combined all of the econometric and modeling advances that are applied here. Most of the results conformed to expectations; however, limited to no evidence of nonlinearities and asymmetries were uncovered.

Sprache
Englisch

Erschienen in
Journal: Economies ; ISSN: 2227-7099 ; Volume: 5 ; Year: 2017 ; Issue: 3 ; Pages: 1-11 ; Basel: MDPI

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Energy: Demand and Supply; Prices
Thema
disaggregated energy demand
dynamic common factor panel models
nonstationary
heterogeneous panels
nonlinear
asymmetric relationships
US states

Ereignis
Geistige Schöpfung
(wer)
Liddle, Brantley
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2017

DOI
doi:10.3390/economies5030030
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Liddle, Brantley
  • MDPI

Entstanden

  • 2017

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