Comment on "Polynomial cointegration tests of anthropogenic impact on global warming" by Beenstock et al. (2012) – some hazards in econometric modelling of climate change

We outline six important hazards that can be encountered in econometric modelling of time-series data, and apply that analysis to demonstrate errors in the empirical modelling of climate data in Beenstock et al. (2012). We show that the claim made in Beenstock et al. (2012) as to the different degre...

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Main Authors: F. Pretis, D. F. Hendry
Format: Article
Language:English
Published: Copernicus Publications 2013-10-01
Series:Earth System Dynamics
Online Access:http://www.earth-syst-dynam.net/4/375/2013/esd-4-375-2013.pdf
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spelling doaj-a2e36adffabb49cea76e7563cceaa13c2020-11-24T23:54:02ZengCopernicus PublicationsEarth System Dynamics2190-49792190-49872013-10-014237538410.5194/esd-4-375-2013Comment on "Polynomial cointegration tests of anthropogenic impact on global warming" by Beenstock et al. (2012) &ndash; some hazards in econometric modelling of climate changeF. Pretis0D. F. Hendry1Department of Economics, and Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, Oxford, UKDepartment of Economics, and Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, Oxford, UKWe outline six important hazards that can be encountered in econometric modelling of time-series data, and apply that analysis to demonstrate errors in the empirical modelling of climate data in Beenstock et al. (2012). We show that the claim made in Beenstock et al. (2012) as to the different degrees of integrability of CO<sub>2</sub> and temperature is incorrect. In particular, the level of integration is not constant and not intrinsic to the process. Further, we illustrate that the measure of anthropogenic forcing in Beenstock et al. (2012), a constructed "anthropogenic anomaly", is not appropriate regardless of the time-series properties of the data.http://www.earth-syst-dynam.net/4/375/2013/esd-4-375-2013.pdf
collection DOAJ
language English
format Article
sources DOAJ
author F. Pretis
D. F. Hendry
spellingShingle F. Pretis
D. F. Hendry
Comment on "Polynomial cointegration tests of anthropogenic impact on global warming" by Beenstock et al. (2012) &ndash; some hazards in econometric modelling of climate change
Earth System Dynamics
author_facet F. Pretis
D. F. Hendry
author_sort F. Pretis
title Comment on "Polynomial cointegration tests of anthropogenic impact on global warming" by Beenstock et al. (2012) &ndash; some hazards in econometric modelling of climate change
title_short Comment on "Polynomial cointegration tests of anthropogenic impact on global warming" by Beenstock et al. (2012) &ndash; some hazards in econometric modelling of climate change
title_full Comment on "Polynomial cointegration tests of anthropogenic impact on global warming" by Beenstock et al. (2012) &ndash; some hazards in econometric modelling of climate change
title_fullStr Comment on "Polynomial cointegration tests of anthropogenic impact on global warming" by Beenstock et al. (2012) &ndash; some hazards in econometric modelling of climate change
title_full_unstemmed Comment on "Polynomial cointegration tests of anthropogenic impact on global warming" by Beenstock et al. (2012) &ndash; some hazards in econometric modelling of climate change
title_sort comment on "polynomial cointegration tests of anthropogenic impact on global warming" by beenstock et al. (2012) &ndash; some hazards in econometric modelling of climate change
publisher Copernicus Publications
series Earth System Dynamics
issn 2190-4979
2190-4987
publishDate 2013-10-01
description We outline six important hazards that can be encountered in econometric modelling of time-series data, and apply that analysis to demonstrate errors in the empirical modelling of climate data in Beenstock et al. (2012). We show that the claim made in Beenstock et al. (2012) as to the different degrees of integrability of CO<sub>2</sub> and temperature is incorrect. In particular, the level of integration is not constant and not intrinsic to the process. Further, we illustrate that the measure of anthropogenic forcing in Beenstock et al. (2012), a constructed "anthropogenic anomaly", is not appropriate regardless of the time-series properties of the data.
url http://www.earth-syst-dynam.net/4/375/2013/esd-4-375-2013.pdf
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