Co Integration Error Correction And The Econometric Analysis Of Non Stationary Data
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Co Integration Error Correction And The Econometric Analysis Of Non Stationary Data
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Author : Anindya Banerjee
language : en
Publisher: Oxford University Press
Release Date : 1993-05-27
Co Integration Error Correction And The Econometric Analysis Of Non Stationary Data written by Anindya Banerjee and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-05-27 with Business & Economics categories.
This book provides a wide-ranging account of the literature on co-integration and the modelling of integrated processes (those which accumulate the effects of past shocks). Data series which display integrated behaviour are common in economics, although techniques appropriate to analysing such data are of recent origin and there are few existing expositions of the literature. This book focuses on the exploration of relationships among integrated data series and the exploitation of these relationships in dynamic econometric modelling. The concepts of co-integration and error-correction models are fundamental components of the modelling strategy. This area of time-series econometrics has grown in importance over the past decade and is of interest to econometric theorists and applied econometricians alike. By explaining the important concepts informally, but also presenting them formally, the book bridges the gap between purely descriptive and purely theoretical accounts of the literature. The asymptotic theory of integrated processes is described and the tools provided by this theory are used to develop the distributions of estimators and test statistics. Practical modelling advice, and the use of techniques for systems estimation, are also emphasized. A knowledge of econometrics, statistics, and matrix algebra at the level of a final-year undergraduate or first-year undergraduate course in econometrics is sufficient for most of the book. Other mathematical tools are described as they occur.
Co Integration Error Correction And The Econometric Analysis Of Non Stationary Data
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Author :
language : en
Publisher:
Release Date : 1993
Co Integration Error Correction And The Econometric Analysis Of Non Stationary Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Econometric models categories.
Co Integration Error Correction And The Econometric Analysis Of Non Stationary Data
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Author :
language : en
Publisher:
Release Date : 1993
Co Integration Error Correction And The Econometric Analysis Of Non Stationary Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Econometric models categories.
The Econometric Analysis Of Non Stationary Spatial Panel Data
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Author : Michael Beenstock
language : en
Publisher: Springer
Release Date : 2019-03-27
The Econometric Analysis Of Non Stationary Spatial Panel Data written by Michael Beenstock and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-27 with Business & Economics categories.
This monograph deals with spatially dependent nonstationary time series in a way accessible to both time series econometricians wanting to understand spatial econometics, and spatial econometricians lacking a grounding in time series analysis. After charting key concepts in both time series and spatial econometrics, the book discusses how the spatial connectivity matrix can be estimated using spatial panel data instead of assuming it to be exogenously fixed. This is followed by a discussion of spatial nonstationarity in spatial cross-section data, and a full exposition of non-stationarity in both single and multi-equation contexts, including the estimation and simulation of spatial vector autoregression (VAR) models and spatial error correction (ECM) models. The book reviews the literature on panel unit root tests and panel cointegration tests for spatially independent data, and for data that are strongly spatially dependent. It provides for the first time critical values for panel unit root tests and panel cointegration tests when the spatial panel data are weakly or spatially dependent. The volume concludes with a discussion of incorporating strong and weak spatial dependence in non-stationary panel data models. All discussions are accompanied by empirical testing based on a spatial panel data of house prices in Israel.
The Econometric Analysis Of Non Stationary Spatial Panel Data
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Author : Michael Beenstock
language : en
Publisher:
Release Date : 2019
The Econometric Analysis Of Non Stationary Spatial Panel Data written by Michael Beenstock and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Electronic books categories.
This monograph deals with spatially dependent non-stationary time series in a way accessible to both time series econometricians wanting to understand spatial econometics, and spatial econometricians lacking a grounding in time series analysis. After charting key concepts in both time series and spatial econometrics, the book discusses how the spatial connectivity matrix can be estimated using spatial panel data instead of assuming it to be exogenously fixed. This is followed by a discussion of spatial non-stationarity in spatial cross-section data, and a full exposition of non stationarity in both single and multi-equation contexts, including the estimation and simulation of spatial vector autoregression (VAR) models and spatial error correction (ECM) models. The book reviews the literature on panel unit root tests and panel cointegration tests for spatially independent data, and for data that are strongly spatially dependent. It provides for the first time critical values for panel unit root tests and panel cointegration tests when the spatial panel data are weakly or spatially dependent. The volume concludes with a discussion of incorporating strong and weak spatial dependence in non-stationary panel data models. All discussions are accompanied by empirical testing based on a spatial panel data of house prices in Israel. .
Analysis Of Integrated And Cointegrated Time Series With R
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Author : Bernhard Pfaff
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-09-03
Analysis Of Integrated And Cointegrated Time Series With R written by Bernhard Pfaff and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-03 with Business & Economics categories.
This book is designed for self study. The reader can apply the theoretical concepts directly within R by following the examples.
Elements Of Time Series Econometrics An Applied Approach
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Author : Evžen Kočenda
language : en
Publisher: Karolinum Press
Release Date : 2014-03-01
Elements Of Time Series Econometrics An Applied Approach written by Evžen Kočenda and has been published by Karolinum Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-01 with Business & Economics categories.
This book presents the numerous tools for the econometric analysis of time series. The text is designed with emphasis on the practical application of theoretical tools. Accordingly, material is presented in a way that is easy to understand. In many cases intuitive explanation and understanding of the studied phenomena are offerd. Essential concepts are illustrated by clear-cut examples. The attention of readers is drawn to numerous applied works where the use of specific techniques is best illustrated. Such applications are chiefly connected with issues of recent economic transition and European integration. The outlined style of presentation makes the book also a rich source of references. The text is divided into four major sections. The first section, "The Nature of Time Series?, gives an introduction to time series analysis. The second section, "Difference Equations?, describes briefly the theory of difference equations with an emphasis on results that are important for time series econometrics. The third section, "Univariate Time Series?, presents the methods commonly used in univariate time series analysis, the analysis of time series of one single variable. The fourth section, "Multiple Time Series?, deals with time series models of multiple interrelated variables. Appendices contain an introduction to simulation techniques and statistical tables.
Time Series Based Econometrics
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Author : Michio Hatanaka
language : en
Publisher: OUP Oxford
Release Date : 1996-01-25
Time Series Based Econometrics written by Michio Hatanaka and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-01-25 with Business & Economics categories.
In the last decade, time-series econometrics has made extraordinary developments on unit roots and cointegration. However, this progress has taken divergent directions, and has been subjected to criticism from outside the field. In this book, Professor Hatanaka surveys the field, examines those portions that are useful for macroeconomics, and responds to the criticism. His survey of the literature covers not only econometric methods, but also the application of these methods to macroeconomic studies. The most vigorous criticism has been that unit roots to do not exist in macroeconomic variables, and thus that cointegration analysis is irrelevant to macroeconomics. The judgement of this book is that unit roots are present in macroeconomic variables when we consider periods of 20 to 40 years, but that the critics may be right when periods of 100 years are considered. Fortunately, most of the time series data used for macroeconomic studies cover fall within the shorter time span. Among the numerous methods for unit roots and cointegration, those useful from macroeconomic studies are examined and explained in detail, without overburdening the reader with unnecessary mathematics. Other, less applicable methods are dicussed briefly, and their weaknesses are exposed. Hatanaka has rigourously based his judgements about usefulness on whether the inference is appropriate for the length of the data sets available, and also on whether a proper inference can be made on the sort of propositions that macroeconomists wish to test. This book highlights the relations between cointegration and economic theories, and presents cointegrated regression as a revolution in econometric methods. Its analysis is of relevance to academic and professional or applied econometricians. Step-by-step explanations of concepts and techniques make the book a self-contained text for graduate students.
Using Cointegration Analysis In Econometric Modelling
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Author : Richard I. D. Harris
language : en
Publisher: Prentice Hall
Release Date : 1995
Using Cointegration Analysis In Econometric Modelling written by Richard I. D. Harris and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Business & Economics categories.
Cointegration has become an essential tool for applied economists wanting to estimate time series models. Without some form of testing for cointegration, non-stationary variables can lead to spurious regressions; this book introduces the student and practitioner to (co)integration testing and techniques at a very moderate technical level. The book's aim is a practical one: testing for (co)integration is explained thoroughly and with plenty of examples and there is an emphasis throughout on explaining how these tests are actually performed. Key Features: 'toolkit' approach with an emphasis on practice and the actual tests used, covers the Engle-Granger procedure, covers the Johansen technique, overview of structural VAR modelling, advanced and difficult concepts presented in technical boxes, thus preserving the flow of exposition, and boxed examples throughout. Though the material is presented non-technically, the reader will find that the book covers in detail those techniques that are now becoming standard in the literature. Readers are also taken through examples using relevant software such as PcFiml and Cats (in Rats).
Using R For Principles Of Econometrics
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Author : Constantin Colonescu
language : en
Publisher: Lulu.com
Release Date : 2018-01-05
Using R For Principles Of Econometrics written by Constantin Colonescu and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-05 with Business & Economics categories.
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.