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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Online Access: | https://doi.org/10.3390/econometrics10010009 https://doaj.org/article/b468d4e967f44adc9358ab6d061f7787 |
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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 |
_version_ |
1766025156253188096 |