Robust Estimation and Forecasting of Climate Change Using Score-Driven Ice-Age Models

We use data on the following climate variables for the period of the last 798 thousand years: global ice volume ( <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>Ice</mi><mi>t</mi></msub></s...

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Published in:Econometrics
Main Authors: Szabolcs Blazsek, Alvaro Escribano
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2022
Subjects:
Online Access:https://doi.org/10.3390/econometrics10010009
https://doaj.org/article/b468d4e967f44adc9358ab6d061f7787
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spelling ftdoajarticles:oai:doaj.org/article:b468d4e967f44adc9358ab6d061f7787 2023-05-15T13:32:13+02:00 Robust Estimation and Forecasting of Climate Change Using Score-Driven Ice-Age Models Szabolcs Blazsek Alvaro Escribano 2022-02-01T00:00:00Z https://doi.org/10.3390/econometrics10010009 https://doaj.org/article/b468d4e967f44adc9358ab6d061f7787 EN eng MDPI AG https://www.mdpi.com/2225-1146/10/1/9 https://doaj.org/toc/2225-1146 doi:10.3390/econometrics10010009 2225-1146 https://doaj.org/article/b468d4e967f44adc9358ab6d061f7787 Econometrics, Vol 10, Iss 9, p 9 (2022) climate change ice-ages and inter-glacial periods global ice volume atmospheric CO 2 Antarctic land surface temperature dynamic conditional score Economics as a science HB71-74 article 2022 ftdoajarticles https://doi.org/10.3390/econometrics10010009 2022-12-30T19:55:00Z We use data on the following climate variables for the period of the last 798 thousand years: global ice volume ( <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>Ice</mi><mi>t</mi></msub></semantics></math> ), atmospheric carbon dioxide level ( <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>CO</mi><mrow><mn>2</mn><mo>,</mo><mi>t</mi></mrow></msub></semantics></math> ), and Antarctic land surface temperature ( <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>Temp</mi><mi>t</mi></msub></semantics></math> ). Those variables are cyclical and are driven by the following strongly exogenous orbital variables: eccentricity of the Earth’s orbit, obliquity, and precession of the equinox. We introduce score-driven ice-age models which use robust filters of the conditional mean and variance, generalizing the updating mechanism and solving the misspecification of a recent climate–econometric model (benchmark ice-age model). The score-driven models control for omitted exogenous variables and extreme events, using more general dynamic structures and heteroskedasticity. We find that the score-driven models improve the performance of the benchmark ice-age model. We provide out-of-sample forecasts of the climate variables for the last 100 thousand years. We show that during the last 10–15 thousand years of the forecasting period, for which humanity influenced the Earth’s climate, (i) the forecasts of <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>Ice</mi><mi>t</mi></msub></semantics></math> are above the observed <math xmlns="http://www.w3.org/1998/Math/MathML" ... Article in Journal/Newspaper Antarc* Antarctic Directory of Open Access Journals: DOAJ Articles Antarctic Econometrics 10 1 9
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic climate change
ice-ages and inter-glacial periods
global ice volume
atmospheric CO 2
Antarctic land surface temperature
dynamic conditional score
Economics as a science
HB71-74
spellingShingle climate change
ice-ages and inter-glacial periods
global ice volume
atmospheric CO 2
Antarctic land surface temperature
dynamic conditional score
Economics as a science
HB71-74
Szabolcs Blazsek
Alvaro Escribano
Robust Estimation and Forecasting of Climate Change Using Score-Driven Ice-Age Models
topic_facet climate change
ice-ages and inter-glacial periods
global ice volume
atmospheric CO 2
Antarctic land surface temperature
dynamic conditional score
Economics as a science
HB71-74
description We use data on the following climate variables for the period of the last 798 thousand years: global ice volume ( <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>Ice</mi><mi>t</mi></msub></semantics></math> ), atmospheric carbon dioxide level ( <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>CO</mi><mrow><mn>2</mn><mo>,</mo><mi>t</mi></mrow></msub></semantics></math> ), and Antarctic land surface temperature ( <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>Temp</mi><mi>t</mi></msub></semantics></math> ). Those variables are cyclical and are driven by the following strongly exogenous orbital variables: eccentricity of the Earth’s orbit, obliquity, and precession of the equinox. We introduce score-driven ice-age models which use robust filters of the conditional mean and variance, generalizing the updating mechanism and solving the misspecification of a recent climate–econometric model (benchmark ice-age model). The score-driven models control for omitted exogenous variables and extreme events, using more general dynamic structures and heteroskedasticity. We find that the score-driven models improve the performance of the benchmark ice-age model. We provide out-of-sample forecasts of the climate variables for the last 100 thousand years. We show that during the last 10–15 thousand years of the forecasting period, for which humanity influenced the Earth’s climate, (i) the forecasts of <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>Ice</mi><mi>t</mi></msub></semantics></math> are above the observed <math xmlns="http://www.w3.org/1998/Math/MathML" ...
format Article in Journal/Newspaper
author Szabolcs Blazsek
Alvaro Escribano
author_facet Szabolcs Blazsek
Alvaro Escribano
author_sort Szabolcs Blazsek
title Robust Estimation and Forecasting of Climate Change Using Score-Driven Ice-Age Models
title_short Robust Estimation and Forecasting of Climate Change Using Score-Driven Ice-Age Models
title_full Robust Estimation and Forecasting of Climate Change Using Score-Driven Ice-Age Models
title_fullStr Robust Estimation and Forecasting of Climate Change Using Score-Driven Ice-Age Models
title_full_unstemmed Robust Estimation and Forecasting of Climate Change Using Score-Driven Ice-Age Models
title_sort robust estimation and forecasting of climate change using score-driven ice-age models
publisher MDPI AG
publishDate 2022
url https://doi.org/10.3390/econometrics10010009
https://doaj.org/article/b468d4e967f44adc9358ab6d061f7787
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_source Econometrics, Vol 10, Iss 9, p 9 (2022)
op_relation https://www.mdpi.com/2225-1146/10/1/9
https://doaj.org/toc/2225-1146
doi:10.3390/econometrics10010009
2225-1146
https://doaj.org/article/b468d4e967f44adc9358ab6d061f7787
op_doi https://doi.org/10.3390/econometrics10010009
container_title Econometrics
container_volume 10
container_issue 1
container_start_page 9
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