Author: Uwe HasslerPublisher:
ISBN: 9783865587619
Category :
Languages : de
Pages : 0
Book Description
Detecting Multiple Breaks in Long Memory
Author: Uwe HasslerPublisher:
ISBN: 9783865587619
Category :
Languages : de
Pages : 0
Book Description
Detecting Multiple Breaks in Long Memory
Author: Uwe HasslerPublisher:
ISBN:
Category :
Languages : en
Pages : 56
Book Description
Multiple structural change tests by Bei and Perron (1998) are applied to the regression by Demetrescu, Kuzin and Hassler (2008) in order to detect breaks in the order of fractional integration. With this instrument we tackle time-varying inflation persistence as an important issue for monetary policy. We determine not only the location and significance of breaks in persistence, but also the number of breaks. Only one significant break in U.S. inflation persistence (measured by the long-memory parameter) is found to have taken place in 1973, while a second break in 1980 is not significant.
Detecting Multiple Breaks in Long Memory
Author: Uwe HasslerPublisher:
ISBN: 9783865587602
Category :
Languages : en
Pages : 48
Book Description
Time Series Analysis with Long Memory in View
Author: Uwe HasslerPublisher: John Wiley & Sons
ISBN: 1119470404
Category : Mathematics
Languages : en
Pages : 288
Book Description
Provides a simple exposition of the basic time series material, and insights into underlying technical aspects and methods of proof Long memory time series are characterized by a strong dependence between distant events. This book introduces readers to the theory and foundations of univariate time series analysis with a focus on long memory and fractional integration, which are embedded into the general framework. It presents the general theory of time series, including some issues that are not treated in other books on time series, such as ergodicity, persistence versus memory, asymptotic properties of the periodogram, and Whittle estimation. Further chapters address the general functional central limit theory, parametric and semiparametric estimation of the long memory parameter, and locally optimal tests. Intuitive and easy to read, Time Series Analysis with Long Memory in View offers chapters that cover: Stationary Processes; Moving Averages and Linear Processes; Frequency Domain Analysis; Differencing and Integration; Fractionally Integrated Processes; Sample Means; Parametric Estimators; Semiparametric Estimators; and Testing. It also discusses further topics. This book: Offers beginning-of-chapter examples as well as end-of-chapter technical arguments and proofs Contains many new results on long memory processes which have not appeared in previous and existing textbooks Takes a basic mathematics (Calculus) approach to the topic of time series analysis with long memory Contains 25 illustrative figures as well as lists of notations and acronyms Time Series Analysis with Long Memory in View is an ideal text for first year PhD students, researchers, and practitioners in statistics, econometrics, and any application area that uses time series over a long period. It would also benefit researchers, undergraduates, and practitioners in those areas who require a rigorous introduction to time series analysis.
Long Memory in Economics
Author: Gilles TeyssièrePublisher: Springer Science & Business Media
ISBN: 3540346252
Category : Business & Economics
Languages : en
Pages : 394
Book Description
Assembles three different strands of long memory analysis: statistical literature on the properties of, and tests for, LRD processes; mathematical literature on the stochastic processes involved; and models from economic theory providing plausible micro foundations for the occurrence of long memory in economics.
Simple (but Effective) Tests of Long Memory Versus Structural Breaks
Author: Handbook of Financial Time Series
Author: Torben Gustav AndersenPublisher: Springer Science & Business Media
ISBN: 3540712976
Category : Business & Economics
Languages : en
Pages : 1045
Book Description
The Handbook of Financial Time Series gives an up-to-date overview of the field and covers all relevant topics both from a statistical and an econometrical point of view. There are many fine contributions, and a preamble by Nobel Prize winner Robert F. Engle.
Long-memory Versus Structural Breaks
Author: Philipp SibbertsenComplex Models and Computational Methods in Statistics
Author: Matteo GrigolettoPublisher: Springer Science & Business Media
ISBN: 884702871X
Category : Mathematics
Languages : en
Pages : 228
Book Description
The use of computational methods in statistics to face complex problems and highly dimensional data, as well as the widespread availability of computer technology, is no news. The range of applications, instead, is unprecedented. As often occurs, new and complex data types require new strategies, demanding for the development of novel statistical methods and suggesting stimulating mathematical problems. This book is addressed to researchers working at the forefront of the statistical analysis of complex systems and using computationally intensive statistical methods.
Author: Aris Kartsaklas