Unit Root Tests in Time Series Volume 2

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Author :
Publisher : Springer
ISBN 13 : 1137003316
Total Pages : 586 pages
Book Rating : 4.1/5 (37 download)

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Book Synopsis Unit Root Tests in Time Series Volume 2 by : K. Patterson

Download or read book Unit Root Tests in Time Series Volume 2 written by K. Patterson and published by Springer. This book was released on 2012-07-05 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: Testing for a Unit Root is now an essential part of time series analysis but the literature on the topic is so large that knowing where to start is difficult even for the specialist. This book provides a way into the techniques of unit root testing, explaining the pitfalls and nonstandard cases, using practical examples and simulation analysis.

Unit Root Tests in Time Series Volume 2

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Author :
Publisher : Palgrave Macmillan
ISBN 13 : 9780230250260
Total Pages : 550 pages
Book Rating : 4.2/5 (52 download)

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Book Synopsis Unit Root Tests in Time Series Volume 2 by : K. Patterson

Download or read book Unit Root Tests in Time Series Volume 2 written by K. Patterson and published by Palgrave Macmillan. This book was released on 2012-07-06 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Testing for a Unit Root is now an essential part of time series analysis but the literature on the topic is so large that knowing where to start is difficult even for the specialist. This book provides a way into the techniques of unit root testing, explaining the pitfalls and nonstandard cases, using practical examples and simulation analysis.

Unit Root Tests in Time Series Volume 1

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Author :
Publisher : Springer
ISBN 13 : 023029930X
Total Pages : 676 pages
Book Rating : 4.2/5 (32 download)

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Book Synopsis Unit Root Tests in Time Series Volume 1 by : K. Patterson

Download or read book Unit Root Tests in Time Series Volume 1 written by K. Patterson and published by Springer. This book was released on 2011-02-25 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Testing for a unit root is now an essential part of time series analysis. This volume provides a critical overview and assessment of tests for a unit root in time series, developing the concepts necessary to understand the key theoretical and practical models in unit root testing.

Unit Root Tests in Time Series: Key concepts and problems

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (21 download)

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Book Synopsis Unit Root Tests in Time Series: Key concepts and problems by : K. D. Patterson

Download or read book Unit Root Tests in Time Series: Key concepts and problems written by K. D. Patterson and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Unit Roots, Cointegration, and Structural Change

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Publisher : Cambridge University Press
ISBN 13 : 9780521587822
Total Pages : 528 pages
Book Rating : 4.5/5 (878 download)

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Book Synopsis Unit Roots, Cointegration, and Structural Change by : G. S. Maddala

Download or read book Unit Roots, Cointegration, and Structural Change written by G. S. Maddala and published by Cambridge University Press. This book was released on 1998 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review of unit roots, cointegration and structural change from a best-selling author.

Time Series Econometrics

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Author :
Publisher :
ISBN 13 : 9789813237896
Total Pages : pages
Book Rating : 4.2/5 (378 download)

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Book Synopsis Time Series Econometrics by : Pierre Perron

Download or read book Time Series Econometrics written by Pierre Perron and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Part I. Unit roots and trend breaks -- Part II. Structural change

Introduction to Statistical Time Series

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Publisher : John Wiley & Sons
ISBN 13 : 0470317752
Total Pages : 734 pages
Book Rating : 4.4/5 (73 download)

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Book Synopsis Introduction to Statistical Time Series by : Wayne A. Fuller

Download or read book Introduction to Statistical Time Series written by Wayne A. Fuller and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of time series is of considerable interest, especiallyamong researchers in econometrics, engineering, and the naturalsciences. As part of the prestigious Wiley Series in Probabilityand Statistics, this book provides a lucid introduction to thefield and, in this new Second Edition, covers the importantadvances of recent years, including nonstationary models, nonlinearestimation, multivariate models, state space representations, andempirical model identification. New sections have also been addedon the Wold decomposition, partial autocorrelation, long memoryprocesses, and the Kalman filter. Major topics include: * Moving average and autoregressive processes * Introduction to Fourier analysis * Spectral theory and filtering * Large sample theory * Estimation of the mean and autocorrelations * Estimation of the spectrum * Parameter estimation * Regression, trend, and seasonality * Unit root and explosive time series To accommodate a wide variety of readers, review material,especially on elementary results in Fourier analysis, large samplestatistics, and difference equations, has been included.

Handbook of Research Methods and Applications in Empirical Macroeconomics

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Author :
Publisher : Edward Elgar Publishing
ISBN 13 : 0857931024
Total Pages : 627 pages
Book Rating : 4.8/5 (579 download)

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Book Synopsis Handbook of Research Methods and Applications in Empirical Macroeconomics by : Nigar Hashimzade

Download or read book Handbook of Research Methods and Applications in Empirical Macroeconomics written by Nigar Hashimzade and published by Edward Elgar Publishing. This book was released on 2013-01-01 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and provide a sound guide for further reading. Topics covered include unit roots, non-linearities and structural breaks, time aggregation, forecasting, the Kalman filter, generalised method of moments, maximum likelihood and Bayesian estimation, vector autoregressive, dynamic stochastic general equilibrium and dynamic panel models. Presenting the most important models and techniques for empirical research, this Handbook will appeal to students, researchers and academics working in empirical macro and econometrics.

A Primer for Unit Root Testing

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Author :
Publisher : Springer
ISBN 13 : 0230248454
Total Pages : 301 pages
Book Rating : 4.2/5 (32 download)

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Book Synopsis A Primer for Unit Root Testing by : K. Patterson

Download or read book A Primer for Unit Root Testing written by K. Patterson and published by Springer. This book was released on 2010-03-31 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives an authoritative overview of the literature on non-stationarity, integration and unit roots, providing direction and guidance. It also provides detailed examples to show how the techniques can be applied in practical situations and the pitfalls to avoid.

Comparison of Unit Root Tests for Time Series with Level Shifts

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Comparison of Unit Root Tests for Time Series with Level Shifts by : Markku Lanne

Download or read book Comparison of Unit Root Tests for Time Series with Level Shifts written by Markku Lanne and published by . This book was released on 2003 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unit root tests are considered for time series which have a level shift at a known point in time. The shift can have a very general nonlinear form, and additional deterministic mean and trend terms are allowed for. Prior to the tests, the deterministic parts and other nuisance parameters of the data generation process are estimated in a first step. Then, the series are adjusted for these terms and unit root tests of the Dickey-Fuller type are applied to the adjusted series. The properties of previously suggested tests of this sort are analysed and modifications are proposed which take into account estimation errors in the nuisance parameters. An important result is that estimation under the null hypothesis is preferable to estimation under local alternatives. This contrasts with results obtained by other authors for time series without level shifts.

Time Series Analysis Univariate and Multivariate Methods

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Publisher : Pearson
ISBN 13 : 9780134995366
Total Pages : 648 pages
Book Rating : 4.9/5 (953 download)

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Book Synopsis Time Series Analysis Univariate and Multivariate Methods by : William W. S. Wei

Download or read book Time Series Analysis Univariate and Multivariate Methods written by William W. S. Wei and published by Pearson. This book was released on 2018-03-14 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: With its broad coverage of methodology, this comprehensive book is a useful learning and reference tool for those in applied sciences where analysis and research of time series is useful. Its plentiful examples show the operational details and purpose of a variety of univariate and multivariate time series methods. Numerous figures, tables and real-life time series data sets illustrate the models and methods useful for analyzing, modeling, and forecasting data collected sequentially in time. The text also offers a balanced treatment between theory and applications. Time Series Analysis is a thorough introduction to both time-domain and frequency-domain analyses of univariate and multivariate time series methods, with coverage of the most recently developed techniques in the field.

Linear Models and Time-Series Analysis

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Publisher : John Wiley & Sons
ISBN 13 : 1119431859
Total Pages : 896 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Linear Models and Time-Series Analysis by : Marc S. Paolella

Download or read book Linear Models and Time-Series Analysis written by Marc S. Paolella and published by John Wiley & Sons. This book was released on 2018-10-10 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and timely edition on an emerging new trend in time series Linear Models and Time-Series Analysis: Regression, ANOVA, ARMA and GARCH sets a strong foundation, in terms of distribution theory, for the linear model (regression and ANOVA), univariate time series analysis (ARMAX and GARCH), and some multivariate models associated primarily with modeling financial asset returns (copula-based structures and the discrete mixed normal and Laplace). It builds on the author's previous book, Fundamental Statistical Inference: A Computational Approach, which introduced the major concepts of statistical inference. Attention is explicitly paid to application and numeric computation, with examples of Matlab code throughout. The code offers a framework for discussion and illustration of numerics, and shows the mapping from theory to computation. The topic of time series analysis is on firm footing, with numerous textbooks and research journals dedicated to it. With respect to the subject/technology, many chapters in Linear Models and Time-Series Analysis cover firmly entrenched topics (regression and ARMA). Several others are dedicated to very modern methods, as used in empirical finance, asset pricing, risk management, and portfolio optimization, in order to address the severe change in performance of many pension funds, and changes in how fund managers work. Covers traditional time series analysis with new guidelines Provides access to cutting edge topics that are at the forefront of financial econometrics and industry Includes latest developments and topics such as financial returns data, notably also in a multivariate context Written by a leading expert in time series analysis Extensively classroom tested Includes a tutorial on SAS Supplemented with a companion website containing numerous Matlab programs Solutions to most exercises are provided in the book Linear Models and Time-Series Analysis: Regression, ANOVA, ARMA and GARCH is suitable for advanced masters students in statistics and quantitative finance, as well as doctoral students in economics and finance. It is also useful for quantitative financial practitioners in large financial institutions and smaller finance outlets.

Time Series Econometrics

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Publisher : Springer
ISBN 13 : 1137525339
Total Pages : 163 pages
Book Rating : 4.1/5 (375 download)

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Book Synopsis Time Series Econometrics by : Terence C. Mills

Download or read book Time Series Econometrics written by Terence C. Mills and published by Springer. This book was released on 2015-08-03 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introductory treatment of time series econometrics, a subject that is of key importance to both students and practitioners of economics. It contains material that any serious student of economics and finance should be acquainted with if they are seeking to gain an understanding of a real functioning economy.

Time Series Econometrics

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Publisher : Springer
ISBN 13 : 3319982826
Total Pages : 409 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Time Series Econometrics by : John D. Levendis

Download or read book Time Series Econometrics written by John D. Levendis and published by Springer. This book was released on 2019-01-31 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the author rejects the theorem-proof approach as much as possible, and emphasize the practical application of econometrics. They show with examples how to calculate and interpret the numerical results. This book begins with students estimating simple univariate models, in a step by step fashion, using the popular Stata software system. Students then test for stationarity, while replicating the actual results from hugely influential papers such as those by Granger and Newbold, and Nelson and Plosser. Readers will learn about structural breaks by replicating papers by Perron, and Zivot and Andrews. They then turn to models of conditional volatility, replicating papers by Bollerslev. Finally, students estimate multi-equation models such as vector autoregressions and vector error-correction mechanisms, replicating the results in influential papers by Sims and Granger. The book contains many worked-out examples, and many data-driven exercises. While intended primarily for graduate students and advanced undergraduates, practitioners will also find the book useful.

Unit Root Tests for Time Series with Level Shifts

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Publisher :
ISBN 13 :
Total Pages : 10 pages
Book Rating : 4.:/5 (762 download)

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Book Synopsis Unit Root Tests for Time Series with Level Shifts by : Markku Lanne

Download or read book Unit Root Tests for Time Series with Level Shifts written by Markku Lanne and published by . This book was released on 2001 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Using R for Principles of Econometrics

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Publisher : Lulu.com
ISBN 13 : 1387473611
Total Pages : 278 pages
Book Rating : 4.3/5 (874 download)

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Book Synopsis Using R for Principles of Econometrics by : Constantin Colonescu

Download or read book Using R for Principles of Econometrics written by Constantin Colonescu and published by Lulu.com. This book was released on 2017-12-28 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a beginner's guide to applied econometrics using the free statistics software R. It provides and explains R solutions to most of the examples in 'Principles of Econometrics' by Hill, Griffiths, and Lim, fourth edition. 'Using R for Principles of Econometrics' requires no previous knowledge in econometrics or R programming, but elementary notions of statistics are helpful.

Analysis of Integrated and Cointegrated Time Series with R

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Publisher : Springer Science & Business Media
ISBN 13 : 0387759670
Total Pages : 193 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Analysis of Integrated and Cointegrated Time Series with R by : Bernhard Pfaff

Download or read book Analysis of Integrated and Cointegrated Time Series with R written by Bernhard Pfaff and published by Springer Science & Business Media. This book was released on 2008-09-03 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed for self study. The reader can apply the theoretical concepts directly within R by following the examples.