Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/30323
Title: A multicointegration model of global climate change
Authors: BRUNS, Stephan 
Csereklyei, Z
Stern, DI
Issue Date: 2020
Publisher: ELSEVIER SCIENCE SA
Source: JOURNAL OF ECONOMETRICS, 214 (1) , p. 175 -197
Abstract: We model the role of the ocean in climate change, using the concept of multicointegration. Surface temperature and radiative forcing cointegrate and the accumulated cointegration disequilibria represent the change in Earth system heat content, which is predominantly stored in the ocean. System heat content in turn cointegrates with surface temperature. Using a multicointegrating 1(2) model, we find that the climate sensitivity is 2.8 degrees C and the rate of adjustment to equilibrium is realistically slow. These results contrast strongly with those from 1(1) cointegration models and are more consistent with global circulation models. We also estimate Earth system heat content as a latent variable for the full period, 1850-2014, and this predicted heat content cointegrates with available ocean heat content observations for 1940-2014.
Keywords: Time series;Climate science;Measurement error;Polynomial cointegration;Ocean heat content
Document URI: http://hdl.handle.net/1942/30323
ISSN: 0304-4076
e-ISSN: 1872-6895
DOI: 10.1016/j.jeconom.2019.05.010
ISI #: WOS:000503084600010
Rights: (C) 2019 Elsevier B.V. All rights reserved.
Category: A1
Type: Journal Contribution
Validations: ecoom 2021
Appears in Collections:Research publications

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