On Asymptotic Properties of the Least Squares Estimators for Autoregressive Time Series with a Unit Root PDF Download
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Author: Sastry G. Pantula
Publisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 42
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Book Description
Author: Sastry G. Pantula
Publisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 42
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Book Description
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.
Author: Jeremy Sin-hing Wu
Publisher:
ISBN:
Category :
Languages : en
Pages : 246
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Book Description
Author: Rajae Azral
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: N. Balakrishna
Publisher: Springer Nature
ISBN: 9811681627
Category : Mathematics
Languages : en
Pages : 238
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Book Description
This book brings together a variety of non-Gaussian autoregressive-type models to analyze time-series data. This book collects and collates most of the available models in the field and provide their probabilistic and inferential properties. This book classifies the stationary time-series models into different groups such as linear stationary models with non-Gaussian innovations, linear stationary models with non-Gaussian marginal distributions, product autoregressive models and minification models. Even though several non-Gaussian time-series models are available in the literature, most of them are focusing on the model structure and the probabilistic properties.
Author: Terence C. Mills
Publisher: Cambridge University Press
ISBN: 9780521624923
Category : Business & Economics
Languages : en
Pages : 386
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Book Description
Provides detailed coverage of the models currently being used in the empirical analysis of financial markets. Copyright © Libri GmbH. All rights reserved.
Author: Yiu-Kuen Tse
Publisher: MDPI
ISBN: 3039216260
Category : Business & Economics
Languages : en
Pages : 136
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Book Description
Financial econometrics has developed into a very fruitful and vibrant research area in the last two decades. The availability of good data promotes research in this area, specially aided by online data and high-frequency data. These two characteristics of financial data also create challenges for researchers that are different from classical macro-econometric and micro-econometric problems. This Special Issue is dedicated to research topics that are relevant for analyzing financial data. We have gathered six articles under this theme.
Author: Marno Verbeek
Publisher: John Wiley & Sons
ISBN: 0470517697
Category : Business & Economics
Languages : en
Pages : 489
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Book Description
This revised and updated edition of A Guide to Modern Econometrics continues to explore a wide range of topics in modern econometrics by focusing on what is important for doing and understanding empirical work. It serves as a guide to alternative techniques with the emphasis on the intuition behind the approaches and their practical relevance. New material includes Monte Carlo studies, weak instruments, nonstationary panels, count data, duration models and the estimation of treatment effects. Features of this book include: Coverage of a wide range of topics, including time series analysis, cointegration, limited dependent variables, panel data analysis and the generalized method of moments Empirical examples drawn from a wide variety of fields including labour economics, finance, international economics, environmental economics and macroeconomics. End-of-chapter exercises review key concepts in light of empirical examples.
Author: Geda, Alemayehu
Publisher: University of Nairobi Press
ISBN: 9966792112
Category : Business & Economics
Languages : en
Pages : 205
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Book Description
This book attempts to demystify time series econometrics so as to equip macroeconomic researchers focusing on Africa with solid but accessible foundation in applied time series techniques that can deal with challenges of developing economic models using African data.
Author: K. Patterson
Publisher: Springer
ISBN: 023029930X
Category : Business & Economics
Languages : en
Pages : 676
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Book Description
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.
