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  • 1
    Online Resource
    Online Resource
    Cham : Palgrave Macmillan
    UID:
    b3kat_BV046137706
    Format: 1 Online-Ressource (XIX, 128 Seiten)
    ISBN: 9783030214326
    Series Statement: Palgrave texts in econometrics
    Note: Additional material to this book can be downloaded from http://extras.springer.com
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-21431-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-21433-3
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-21434-0
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    RVK:
    Keywords: Ökonometrie ; Wahrscheinlichkeitsrechnung ; Ökonometrisches Modell ; Modellierung ; Zeitreihenanalyse
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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  • 2
    Online Resource
    Online Resource
    Cham :Springer International Publishing AG,
    UID:
    almahu_9949728768202882
    Format: 1 online resource (142 pages)
    Edition: 1st ed.
    ISBN: 9783030214326
    Series Statement: Palgrave Texts in Econometrics Series
    Note: Intro -- Preface -- Acknowledgements -- Contents -- About the Authors -- List of Figures -- 1 Introduction -- Reference -- 2 Key Concepts: A Series of Primers -- 2.1 Time Series Data -- 2.2 Stationarity and Non-stationarity -- 2.3 Structural Breaks -- 2.4 Model Selection -- References -- 3 Why Is the World Always Changing? -- 3.1 Major sources of changes -- 3.2 Incorrectly modelling non-stationarity -- References -- 4 Making Trends and Breaks Work to Our Advantage -- 4.1 Solutions to stochastic trend non-stationarity -- 4.2 Cointegration between integrated processes -- 4.3 Location Shifts -- 4.4 DSGE models -- 4.5 Handling location shifts -- 4.6 Some benefits of non-stationarity -- References -- 5 Detectives of Change: Indicator Saturation -- 5.1 Impulse-Indicator Saturation -- 5.2 Step-Indicator Saturation -- 5.3 Designing Indicator Saturation -- 5.3.1 Trend-Indicator Saturation -- 5.3.2 Multiplicative-Indicator Saturation -- 5.3.3 Designed-Break Indicator Saturation -- 5.4 Outliers and Non-linearity -- References -- 6 The Polymath: Combining Theory and Data -- 6.1 Theory Driven and Data Driven Models -- 6.2 The Drawbacks of Using Each Approach in Isolation -- 6.3 A Combined Approach -- 6.4 Applying the Combined Approach to UK Inflation Data -- References -- 7 Seeing into the Future -- 7.1 Forecasting ignoring shifts -- 7.2 Stochastic trends and forecast uncertainty -- 7.3 Location Shifts and Forecast Uncertainty -- 7.4 Differencing away our troubles -- 7.5 Recommendations -- References -- 8 Conclusions: The Ever-Changing Way Forward -- References -- Author Index -- Subject Index -- Index.
    Additional Edition: Print version: Castle, Jennifer L. Modelling Our Changing World Cham : Springer International Publishing AG,c2019 ISBN 9783030214319
    Language: English
    Keywords: Electronic books. ; Electronic books
    URL: Full-text  ((OIS Credentials Required))
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  • 3
    Online Resource
    Online Resource
    Cham : Springer Nature | Cham :Springer International Publishing :
    UID:
    almahu_9949720817402882
    Format: 1 online resource (XIX, 128 p. 42 illus. in color.)
    Edition: 1st ed. 2019.
    ISBN: 3-030-21432-X
    Series Statement: Palgrave Texts in Econometrics,
    Content: 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.
    Note: 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. . , English
    Additional Edition: ISBN 3-030-21431-1
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    UID:
    almahu_9948575106602882
    Format: XIX, 128 p. 42 illus. in color. , online resource.
    Edition: 1st ed. 2019.
    ISBN: 9783030214326
    Series Statement: Palgrave Texts in Econometrics,
    Content: 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.
    Note: 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. .
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030214319
    Additional Edition: Printed edition: ISBN 9783030214333
    Additional Edition: Printed edition: ISBN 9783030214340
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    Cham : Springer Nature | Cham :Springer International Publishing :
    UID:
    edoccha_9959250208702883
    Format: 1 online resource (XIX, 128 p. 42 illus. in color.)
    Edition: 1st ed. 2019.
    ISBN: 3-030-21432-X
    Series Statement: Palgrave Texts in Econometrics,
    Content: 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.
    Note: 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. . , English
    Additional Edition: ISBN 3-030-21431-1
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    Cham : Springer Nature | Cham :Springer International Publishing :
    UID:
    edocfu_9959250208702883
    Format: 1 online resource (XIX, 128 p. 42 illus. in color.)
    Edition: 1st ed. 2019.
    ISBN: 3-030-21432-X
    Series Statement: Palgrave Texts in Econometrics,
    Content: 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.
    Note: 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. . , English
    Additional Edition: ISBN 3-030-21431-1
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    Online Resource
    Online Resource
    Cham, Switzerland :Palgrave Macmillan,
    UID:
    kobvindex_INT0004793
    Format: 1 electronic resource (xix, 128 pages) : , illustrations.
    ISBN: 9783030214319 , 3030214311 , 9781013272103 , 1013272102 , 9783030214326 , 303021432X
    Series Statement: Palgrave texts in econometrics
    Content: MACHINE-GENERATED SUMMARY NOTE: "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."
    Note: MACHINE-GENERATED CONTENTS NOTE: 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.
    Language: English
    Keywords: Handbooks and manuals
    URL: FULL
    Library Location Call Number Volume/Issue/Year Availability
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