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Robust estimation and forecasting of climate change using score-driven ice-age models

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dc.affiliation.dptoUC3M. Departamento de Economíaes
dc.contributor.authorBlazsek, Szabolcs
dc.contributor.authorEscribano, Álvaro
dc.contributor.editorUniversidad Carlos III de Madrid. Departamento de Economíaes
dc.contributor.funderAgencia Estatal de Investigación (España)es
dc.contributor.funderMinisterio de Economía, Industria y Competitividad (España)es
dc.contributor.funderComunidad de Madrides
dc.date.accessioned2021-10-18T11:04:25Z
dc.date.available2021-10-14T14:23:11Z
dc.date.issued2021-10-14
dc.description.abstractScScore-driven models applied to finance and economics have attracted significant attention in the last decade. In this paper, we apply those models to climate data. We study the robustness of a recent climate econometric model, named ice-age model, and we extend that model by using score-driven filters in the measurement and transition equations. The climate variables considered are Antarctic ice volume Icet, atmospheric carbon dioxide level CO2,t, and land surface temperature Tempt, which during the history of the Earth were driven by exogenous variables. The influence of humanity on climate started approximately 10-15 thousand years ago, and it has significantly increased since then. We forecast the climate variables for the last 100 thousand years, by using data for the period of 798 thousand years ago to 101 thousand years ago for which humanity did not influence the Earth’s climate. For the last 10-15 thousand years of the forecasting period, we find that: (i) the forecasts of Icet are above the observed Icet, (ii) the forecasts of the CO2,t level are below the observed CO2,t, and (iii) the forecasts of Tempt are below the observed Tempt. Our results are robust, and they disentangle the effects of humanity and orbital variables.en
dc.description.sponsorshipBlazsek acknowledges funding from Universidad Francisco Marroquín. Escribano acknowledges funding from Ministerio de Economía, Industria y Competitividad (ECO2016-00105-001 and MDM 2014-0431), Comunidad de Madrid (MadEco-CM S2015/HUM-3444), and Agencia Estatal de Investigación (2019/00419/001).en
dc.identifier.issn2340-5031
dc.identifier.urihttps://hdl.handle.net/10016/33453
dc.identifier.uxxiDT/0000001932
dc.language.isoenges
dc.relation.ispartofseriesWorking paper. Economicsen
dc.relation.ispartofseries21-12
dc.relation.projectIDComunidad de Madrid. S2015/HUM-3444/MadEco-CM
dc.relation.projectIDGobierno de España. ECO2016-00105-001
dc.relation.projectIDGobierno de España. MDM2014-0431
dc.relation.projectIDGobierno de España. 2019/00419/001/AEI/10.13039/501100011033
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.otherClimate Changeen
dc.subject.otherIce-Ages and Inter-Glacial Periodsen
dc.subject.otherAtmospheric Co2 and Land Surface Temperatureen
dc.subject.otherDynamic Conditional Score Modelsen
dc.subject.otherGeneralized Autoregressive Score Modelsen
dc.titleRobust estimation and forecasting of climate change using score-driven ice-age modelsen
dc.typeworking paper*
dc.type.hasVersionAO*
dspace.entity.typePublication
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