Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/35542
Title: Estimating the economy-wide rebound effect using empirically identified structural vector autoregressions*
Authors: BRUNS, Stephan 
Moneta, A
Stern, DI
Issue Date: 2021
Publisher: ELSEVIER
Source: Energy economics, 97 (Art N° 105158)
Abstract: The size of the economy-wide rebound effect is crucial for estimating the contribution that energy efficiency improvements can make to reducing greenhouse gas emissions and for understanding the drivers of energy use. Existing estimates, which vary widely, are based on computable general equilibrium models or partial equilibrium econometric estimates. Using a structural vector autoregressive (SVAR) model, we identify the dynamic causal impact of structural shocks, including an energy efficiency shock. The identification method is based on independent component analysis. In this manner, we are able to estimate the rebound effect with a minimum of a priori assumptions. We apply the SVAR to U.S. monthly and quarterly data, finding that after four years rebound is around 100%, which implies that in the long run no energy is saved. ? 2021 Elsevier B.V. All rights reserved.
Keywords: Energy efficiency;Rebound effect;Structural VAR;Impulse response functions;Independent component analysis;C32;Q43
Document URI: http://hdl.handle.net/1942/35542
ISSN: 0140-9883
e-ISSN: 1873-6181
DOI: 10.1016/j.eneco.2021.105158
ISI #: WOS:000645464600001
Rights: 2021 Elsevier B.V. All rights reserved.
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

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