Econometrics Models for Climate Change Analysis - Softcover

Kaies, Ncibi

Softcover

ISBN 10: 6208430704 ISBN 13: 9786208430702

Verlag: LAP LAMBERT Academic Publishing, 2025

Inhaltsangabe

Shared features of economic and climate time series imply that tools for empirically modeling nonstationary economic outcomes are also appropriate for studying many aspects of observational climate-change data. Greenhouse gas emissions, such as carbon dioxide, nitrous oxide, and methane, are a major cause of climate change as they cumulate in the atmosphere and reradiate the sun’s energy. As these emissions are currently mainly due to economic activity, economic and climate time series have commonalities, including considerable inertia, stochastic trends, and distributional shifts, and hence the same econometric modeling approaches can be applied to analyze both phenomena. Moreover, both disciplines lack complete knowledge of their respective data-generating processes (DGPs), so model search retaining viable theory but allowing for shifting distributions is important. Reliable modeling of both climate and economic-related time series requires finding an unknown DGP (or close approximation thereto) to represent multivariate evolving processes subject to abrupt shifts. Consequently, to ensure that DGP is nested within a much larger set of candidate determinants.

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Über die Autorin bzw. den Autor

Ncibi Kaies is a Doctor in Quantitative Methods. His research area: data mining, optimization, quantitative finance, neural network optimization, multi-criteria decision support and climate change.He is a teacher in ISTL SOUSSE, FSEG Mahdia and ISET Sidi Bouzid.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 6208430704
• ISBN 13: 9786208430702
• Einband: Taschenbuch
• Anzahl der Seiten: 76
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Fastbook Publishing; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland