May 1, 2016
Journal Article

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

Abstract

This paper evaluates the RoSE transportation sector scenarios of the GCAM and REMIND models for the U.S. region by comparing these models’ projected future final energy use levels (1) to historical trends and (2) across each other. To estimate and compare the intrinsic model elasticities, we explore the use of dynamic linear panel data models. On the basis of 26 scenarios (panels) from each of the two energy system models, our analysis suggests that most intrinsic model elasticities with respect to final energy use are roughly comparable to each other and to those observed historically. The key difference is the income elasticity of final energy use, which is significantly smaller for the two energy models than that derived from the historical development. This difference and other minor inconsistencies are interpreted through key assumptions underlying both energy system models.

Revised: December 4, 2020 | Published: May 1, 2016

Citation

Schafer A., P. Kyle, and R. Pietzcker. 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, no. 1:141-154. PNWD-SA-10100. doi:10.1007/s10584-014-1293-y