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Exploring the use of dynamic linear panel data models for evaluating energy/economy/environment models — an application for the transportation sector

Schäfer, A; Kyle, P; Pietzcker, R; (2016) Exploring the use of dynamic linear panel data models for evaluating energy/economy/environment models — an application for the transportation sector. Climatic Change , 136 (1) pp. 141-154. 10.1007/s10584-014-1293-y. Green open access

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Abstract

This paper uses the RoSE transportation sector scenarios of the GCAM and REMIND energy-economy-models for the U.S. region to derive and compare these models’ intrinsic elasticities with those resulting from historical trends, estimates from the literature, and across each other. To estimate the model-intrinsic elasticities, we explore the use of dynamic linear panel data models. On the basis of 26 scenarios (panels) between 2010 and 2050, our analysis suggests that nearly all model-intrinsic elasticities with respect to final energy use are roughly comparable to each other, to those observed historically, and to those from other studies. The key difference is these models’ comparatively low intrinsic income elasticity of final energy use. This and other minor differences are interpreted through key assumptions underlying both energy-economy-models.

Type: Article
Title: Exploring the use of dynamic linear panel data models for evaluating energy/economy/environment models — an application for the transportation sector
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s10584-014-1293-y
Publisher version: http://dx.doi.org/10.1007/s10584-014-1293-y
Language: English
Additional information: Copyright © The Author(s) 2014. This article is published with open access at Springerlink.com. This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/1471307
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