Comparison of Unit Root Tests for Time Series with Level Shifts

Comparison of Unit Root Tests for Time Series with Level Shifts PDF Author: Markku Lanne
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
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.

Comparison of Unit Root Tests for Time Series with Level Shifts

Comparison of Unit Root Tests for Time Series with Level Shifts PDF Author: Markku Lanne
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
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.

Comparison of Unit Root Tests for Time Series with Level Shifts

Comparison of Unit Root Tests for Time Series with Level Shifts PDF Author: Markku Lanne
Publisher:
ISBN:
Category :
Languages : en
Pages : 40

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Book Description


Unit Root Tests for Time Series with Level Shifts

Unit Root Tests for Time Series with Level Shifts PDF Author: Markku Lanne
Publisher:
ISBN:
Category :
Languages : en
Pages : 10

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Book Description


Testing for Unit Roots in Autoregressions with Multiple Level Shifts

Testing for Unit Roots in Autoregressions with Multiple Level Shifts PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
The asymptotic distributions of Augmented-Dickey-Fuller (ADF) unit root tests for autoregressive processes with a unit or near-unit root are discussed in the presence of multiple stochastic level shifts of large size occurring independently in time. The distributions depend on a Brownian motion and a Poisson-type jump process. Due to the latter, tests based on standard critical values experience power losses increasing rapidly with the number and the magnitude of the shifts. A new approach to unit root testing is suggested which requires no knowledge of either the location or the number of level shifts, and which dispenses with the assumption of independent shift occurrence. It is proposed to remove possible shifts from a time series by weighting its increments according to how likely it is, with respect to an ad hoc postulated distribution, a shift to have occurred in each period. If the number of level shifts is bounded in probability, the limiting distributions of the proposed test statistics coincide with those of ADF statistics under standard conditions. A Monte Carlo experiment shows that, despite their generality, the new tests perform well in finite samples.

Unit Root Tests in Time Series Volume 2

Unit Root Tests in Time Series Volume 2 PDF Author: K. Patterson
Publisher: Springer
ISBN: 1137003316
Category : Business & Economics
Languages : en
Pages : 586

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Book Description
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.

Almost All About Unit Roots

Almost All About Unit Roots PDF Author: In Choi
Publisher: Cambridge University Press
ISBN: 1107097339
Category : Business & Economics
Languages : en
Pages : 301

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Book Description
Many economic theories depend on the presence or absence of a unit root for their validity, making familiarity with unit roots extremely important to econometric and statistical theory. This book introduces the literature on unit roots in a comprehensive manner to empirical and theoretical researchers in economics and other areas.

Nonlinear Statistical Modeling

Nonlinear Statistical Modeling PDF Author: Takeshi Amemiya
Publisher: Cambridge University Press
ISBN: 9780521662468
Category : Business & Economics
Languages : en
Pages : 472

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Book Description
This collection investigates parametric, semiparametric, nonparametric, and nonlinear estimation techniques in statistical modeling.

Introduction to Statistical Time Series

Introduction to Statistical Time Series PDF Author: Wayne A. Fuller
Publisher: John Wiley & Sons
ISBN: 0470317752
Category : Mathematics
Languages : en
Pages : 734

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Book Description
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.

Analysis of Integrated and Cointegrated Time Series with R

Analysis of Integrated and Cointegrated Time Series with R PDF Author: Bernhard Pfaff
Publisher: Springer Science & Business Media
ISBN: 0387759670
Category : Business & Economics
Languages : en
Pages : 193

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Book Description
This book is designed for self study. The reader can apply the theoretical concepts directly within R by following the examples.

Uncertainty, Expectations and Asset Price Dynamics

Uncertainty, Expectations and Asset Price Dynamics PDF Author: Fredj Jawadi
Publisher: Springer
ISBN: 3319987143
Category : Business & Economics
Languages : en
Pages : 192

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Book Description
Written in honor of Emeritus Professor Georges Prat (University of Paris Nanterre, France), this book includes contributions from eminent authors on a range of topics that are of interest to researchers and graduates, as well as investors and portfolio managers. The topics discussed include the effects of information and transaction costs on informational and allocative market efficiency, bubbles and stock price dynamics, paradox of rational expectations and the principle of limited information, uncertainty and expectation hypotheses, oil price dynamics, and nonlinearity in asset price dynamics.