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Smoothing a reference pathway based on discrete exogenous projections

In integrated assessment studies and scenario analysis, typically we need to calibrate a model to follow an exogenous pathway, e.g., the shared socioeconomic pathways. In these exogenous pathways, the data of key variables such as GDP and energy consumption are typically provided every five or ten y...

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Autor principal: Wei, Taoyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688886/
https://www.ncbi.nlm.nih.gov/pubmed/34976753
http://dx.doi.org/10.1016/j.mex.2021.101605
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author Wei, Taoyuan
author_facet Wei, Taoyuan
author_sort Wei, Taoyuan
collection PubMed
description In integrated assessment studies and scenario analysis, typically we need to calibrate a model to follow an exogenous pathway, e.g., the shared socioeconomic pathways. In these exogenous pathways, the data of key variables such as GDP and energy consumption are typically provided every five or ten years. In some cases, we need a yearly smooth pathway that is consistent with such an exogenous pathway with data of only every five years. Hence, this piece of study provides a method to obtain a smooth yearly pathway based on exogenous data of limited years. • An approach to smoothing time series of discrete variables is provided; • An example is used to illustrate the approach based on the data in World Energy Outlook 2019.
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spelling pubmed-86888862021-12-30 Smoothing a reference pathway based on discrete exogenous projections Wei, Taoyuan MethodsX Method Article In integrated assessment studies and scenario analysis, typically we need to calibrate a model to follow an exogenous pathway, e.g., the shared socioeconomic pathways. In these exogenous pathways, the data of key variables such as GDP and energy consumption are typically provided every five or ten years. In some cases, we need a yearly smooth pathway that is consistent with such an exogenous pathway with data of only every five years. Hence, this piece of study provides a method to obtain a smooth yearly pathway based on exogenous data of limited years. • An approach to smoothing time series of discrete variables is provided; • An example is used to illustrate the approach based on the data in World Energy Outlook 2019. Elsevier 2021-12-14 /pmc/articles/PMC8688886/ /pubmed/34976753 http://dx.doi.org/10.1016/j.mex.2021.101605 Text en © 2021 The Author(s). Published by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Wei, Taoyuan
Smoothing a reference pathway based on discrete exogenous projections
title Smoothing a reference pathway based on discrete exogenous projections
title_full Smoothing a reference pathway based on discrete exogenous projections
title_fullStr Smoothing a reference pathway based on discrete exogenous projections
title_full_unstemmed Smoothing a reference pathway based on discrete exogenous projections
title_short Smoothing a reference pathway based on discrete exogenous projections
title_sort smoothing a reference pathway based on discrete exogenous projections
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688886/
https://www.ncbi.nlm.nih.gov/pubmed/34976753
http://dx.doi.org/10.1016/j.mex.2021.101605
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