Description / Table of Contents:
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.
Type of Medium:
Online Resource
Pages:
1 online resource (142 pages)
Edition:
1st ed.
ISBN:
9783030214326
Series Statement:
Palgrave Texts in Econometrics Series
URL:
https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=5926889
DDC:
330.0112
Language:
English
Note:
Description based on publisher supplied metadata and other sources
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