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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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Detalles Bibliográficos
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
Descripción
Sumario: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.