This open access book focuses on the concepts, tools and techniques needed to successfully model ever-changing time-series data. It emphasizes the need for general models to account for the complexities of the modern world and how these can be applied to a range of issues facing Earth, from modelling volcanic eruptions, carbon dioxide emissions and global temperatures, to modelling unemployment rates, wage inflation and population growth.Except where otherwise noted, this book is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0.
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Chapter 1: Introduction.- Chapter 2: Key Concepts: A Series of Primers.- Chapter 3: Why is the World Always Changing?.- Chapter 4: Making Trends and Breaks Work for us.- Chapter 5: Indicator Saturation Methods.- Chapter 6: Combining Theory and Data.- Chapter 7: Seeing into the Future.- Chapter 8: Conclusions.                                     
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This open access book focuses on the concepts, tools and techniques needed to successfully model ever-changing time-series data. It emphasizes the need for general models to account for the complexities of the modern world and how these can be applied to a range of issues facing Earth, from modelling volcanic eruptions, carbon dioxide emissions and global temperatures, to modelling unemployment rates, wage inflation and population growth.Except where otherwise noted, this book is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0.
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Published Open Access Presents key concepts of time series: non-stationarity, structural breaks and model selection Reviews the history of time-series modelling Demonstrates how various forms of break can be detected Combines theory and data
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Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
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Produktdetaljer

ISBN
9783030214319
Publisert
2019-09-13
Utgiver
Vendor
Springer Nature Switzerland AG
Høyde
210 mm
Bredde
148 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet

Om bidragsyterne

Jennifer L. Castle is Tutorial Fellow in Economics at Magdalen College, Oxford University, UK and Research Fellow at the Institute for New Economic Thinking at the Oxford Martin School, UK. She has published extensively on general-to-specific econometric methods in modelling linear and non-linear economic time series.

David F. Hendry is Director of the Program in Economic Modelling at the Institute for New Economic Thinking and Co-director of Climate Econometrics, both at the Oxford Martin School, UK and Fellow of Nuffield College, Oxford University, UK. He was knighted in 2009, and received a Lifetime Achievement Award from the Economic and Social Research Council in 2014. He is an Honorary Vice-President and a past President of the Royal Economic Society, a Fellow of the British Academy, the Royal Society of Edinburgh, the Econometric Society, the Academy of Social Sciences, and the Journal of Econometrics, and an Honorary Fellow of the International Institute of Forecasters. He has been awarded eight Honorary Doctorates, is listed by the ISI as one of the world's 200 most cited economists, is a Thomson Reuters Citation Laureate, and has received the Guy Medal in Bronze from the Royal Statistical Society.