Short-run and Long-run Causality in Time Series

Short-run and Long-run Causality in Time Series PDF Author: Jean-Marie Dufour
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description

Short-run and Long-run Causality in Time Series

Short-run and Long-run Causality in Time Series PDF Author: Jean-Marie Dufour
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description


Macroeconometrics and Time Series Analysis

Macroeconometrics and Time Series Analysis PDF Author: Steven Durlauf
Publisher: Springer
ISBN: 0230280838
Category : Business & Economics
Languages : en
Pages : 417

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Book Description
Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within this compendium covers the fundamental themes within the discipline and is written by a leading practitioner in the field. A handy reference tool.

Unobserved Components and Time Series Econometrics

Unobserved Components and Time Series Econometrics PDF Author: Siem Jan Koopman
Publisher: Oxford University Press
ISBN: 0199683662
Category : Business & Economics
Languages : en
Pages : 389

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Book Description
Presents original and up-to-date studies in unobserved components (UC) time series models from both theoretical and methodological perspectives.

30th Anniversary Edition

30th Anniversary Edition PDF Author: Dek Terrell
Publisher: Emerald Group Publishing
ISBN: 1781903093
Category : Business & Economics
Languages : en
Pages : 500

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Book Description
The 30th Volume of Advances in Econometrics is in honor of the two individuals whose hard work has helped ensure thirty successful years of the series, Thomas Fomby and R. Carter Hill.

Multivariate Modelling of Non-Stationary Economic Time Series

Multivariate Modelling of Non-Stationary Economic Time Series PDF Author: John Hunter
Publisher: Springer
ISBN: 113731303X
Category : Business & Economics
Languages : en
Pages : 508

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Book Description
This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models. The authors provide a detailed and extensive study of impulse responses and forecasting in the stationary and non-stationary context, considering small sample correction, volatility and the impact of different orders of integration. Models with expectations are considered along with alternate methods such as Singular Spectrum Analysis (SSA), the Kalman Filter and Structural Time Series, all in relation to cointegration. Using single equations methods to develop topics, and as examples of the notion of cointegration, Burke, Hunter, and Canepa provide direction and guidance to the now vast literature facing students and graduate economists.

Modelling Non-Stationary Economic Time Series

Modelling Non-Stationary Economic Time Series PDF Author: S. Burke
Publisher: Springer
ISBN: 0230005780
Category : Business & Economics
Languages : en
Pages : 253

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Book Description
Co-integration, equilibrium and equilibrium correction are key concepts in modern applications of econometrics to real world problems. This book provides direction and guidance to the now vast literature facing students and graduate economists. Econometric theory is linked to practical issues such as how to identify equilibrium relationships, how to deal with structural breaks associated with regime changes and what to do when variables are of different orders of integration.

Essays in Honor of Aman Ullah

Essays in Honor of Aman Ullah PDF Author: R. Carter Hill
Publisher: Emerald Group Publishing
ISBN: 1785607863
Category : Business & Economics
Languages : en
Pages : 680

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Book Description
Volume 36 of Advances in Econometrics recognizes Aman Ullah's significant contributions in many areas of econometrics and celebrates his long productive career.

Theory and Applications of Time Series Analysis and Forecasting

Theory and Applications of Time Series Analysis and Forecasting PDF Author: Olga Valenzuela
Publisher: Springer Nature
ISBN: 3031141970
Category : Mathematics
Languages : en
Pages : 331

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Book Description
This book presents a selection of peer-reviewed contributions on the latest developments in time series analysis and forecasting, presented at the 7th International Conference on Time Series and Forecasting, ITISE 2021, held in Gran Canaria, Spain, July 19-21, 2021. It is divided into four parts. The first part addresses general modern methods and theoretical aspects of time series analysis and forecasting, while the remaining three parts focus on forecasting methods in econometrics, time series forecasting and prediction, and numerous other real-world applications. Covering a broad range of topics, the book will give readers a modern perspective on the subject. The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics, statistics and econometrics.

Handbook of Computational Econometrics

Handbook of Computational Econometrics PDF Author: David A. Belsley
Publisher: John Wiley & Sons
ISBN: 0470748907
Category : Mathematics
Languages : en
Pages : 514

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Book Description
Handbook of Computational Econometrics examines the state of the art of computational econometrics and provides exemplary studies dealing with computational issues arising from a wide spectrum of econometric fields including such topics as bootstrapping, the evaluation of econometric software, and algorithms for control, optimization, and estimation. Each topic is fully introduced before proceeding to a more in-depth examination of the relevant methodologies and valuable illustrations. This book: Provides self-contained treatments of issues in computational econometrics with illustrations and invaluable bibliographies. Brings together contributions from leading researchers. Develops the techniques needed to carry out computational econometrics. Features network studies, non-parametric estimation, optimization techniques, Bayesian estimation and inference, testing methods, time-series analysis, linear and nonlinear methods, VAR analysis, bootstrapping developments, signal extraction, software history and evaluation. This book will appeal to econometricians, financial statisticians, econometric researchers and students of econometrics at both graduate and advanced undergraduate levels.

Nonlinear Modeling of Economic and Financial Time-Series

Nonlinear Modeling of Economic and Financial Time-Series PDF Author: Fredj Jawadi
Publisher: Emerald Group Publishing
ISBN: 0857244906
Category : Business & Economics
Languages : en
Pages : 224

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Book Description
Presents researches in linear and nonlinear modelling of economic and financial time-series. This book provides a comprehensive understanding of financial and economic dynamics in various aspects using modern financial econometric methods. It also presents and discusses research findings and their implications.