Download or read book Co integration Error Correction and the Econometric Analysis of Non Stationary Data written by Anindya Banerjee and published by Oxford University Press. This book was released on 1993-05-27 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Co integration Error Correction and the Econometric Analysis of Non Stationary Data written by and published by . This book was released on 1993 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Co integration Error Correction and the Econometric Analysis of Non Stationary Data written by and published by . This book was released on 1993 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Econometric Analysis of Non Stationary Spatial Panel Data written by Michael Beenstock and published by Springer. This book was released on 2019-03-27 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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.

Download or read book Cointegration written by Bhaskara B. Rao and published by Springer. This book was released on 2016-07-27 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: `This most commendable volume brings together a set of papers which permits ready access to the means of estimating quantitative relationships using cointegration and error correction procedures. Providing the data to show fully the basis for calculation, this approach is an excellent perception of the needs of senior undergraduates and graduate students.' - Professor W.P. Hogan, The University of Sydney Applied economists, with modest econometric background, are now desperately looking for expository literature on the unit roots and cointegration techniques. This volume of expository essays is written for them. It explains in a simple style various tests for the existence of unit roots and how to estimate cointegration relationships. Original data are given to enable easy replications. Limitations of some existing unit root tests are also discussed.

Download or read book The Econometric Analysis of Non stationary Spatial Panel Data written by Michael Beenstock and published by . This book was released on 2019 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. .

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.

Download or read book Elements of Time Series Econometrics an Applied Approach written by Evžen Kočenda and published by Charles University in Prague, Karolinum Press. This book was released on 2015-12-01 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 five 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. The fifth section “Panel Data and Unit Root Tests”, deals with methods known as panel unit root tests that are relevant to issues of convergence. Appendices contain an introduction to simulation techniques and statistical tables. Kniha přináší soubor základních i pokročilých technik a postupů používaných v ekonometrické analýze časových řad. Kniha klade důraz na umožnění efektivního použití popsaných technik v aplikovaném ekonomickém výzkumu. Toho je dosaženo tím, že teoretické základy popsané ekonometrie jsou prezentovány spolu s intuitivním vysvětlením problematiky a jednotlivé techniky jsou ilustrovány na výsledcích současného výzkumu a to především v kontextu procesu nedávné ekonomické transformace a současné evropské integrace. Toto pojetí z knihy činí nejen učebnici v klasickém smyslu, ale také užitečný referenční zdroj neboť odkazy v knize spojují klasickou i moderní ekonometrickou literaturu se soudobými aplikacemi, na nichž je použití jednotlivých technik jasně pochopitelné. Mnohá použití vycházejí z bohaté předchozí práce autorů v oboru. Text knihy je rozdělen do pěti hlavních částí. První část, “The Nature of Time Series”, přináší úvod do analýzy časových řad a popis jejich nejdůležitějších charakteristik, vlastností a procesů. Druhá část, “Difference Equations”, stručně popisuje teorii diferenciálních rovnic s důrazem na aspekty, které jsou klíčové v ekonometrii časových řad. Třetí část, “Univariate Time Series”, poměrně rozsáhle popisuje techniky, které se používají při analýze jednotlivých časových řad bez jejich vzájemené interakce a zahrnuje jak lineární tak nelineární modelované struktury. Čtvrtá část, “Multiple Time Series”, popisuje modely které umožňují analýzu několika časových řad a jejich vzájemných interakcí. Pátá část “Panel Data and Unit Root Tests”, zahrnuje některé techniky postavené na panelových datech, jež k průřezovým datům přidávají časovou dimenzi a vztahují se k analýze konvergence. Závěr knihy je doplněn o úvod do simulační techniky a statistické tabulky

Download or read book Modelling Non Stationary Economic Time Series written by S. Burke and published by Springer. This book was released on 2005-06-14 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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.

Download or read book Macroeconometrics and Time Series Analysis written by Steven Durlauf and published by Springer. This book was released on 2016-04-30 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Hands on Intermediate Econometrics Using R written by Hrishikesh D. Vinod and published by World Scientific. This book was released on 2008 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains how to use R software to teach econometrics by providing interesting examples, using actual data applied to important policy issues. It helps readers choose the best method from a wide array of tools and packages available. The data used in the examples along with R program snippets, illustrate the economic theory and sophisticated statistical methods extending the usual regression. The R program snippets are not merely given as black boxes, but include detailed comments which help the reader better understand the software steps and use them as templates for possible extension and modification.

Download or read book Time Series Based Econometrics written by Michio Hatanaka and published by OUP Oxford. This book was released on 1996-01-25 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Nonstationary Panels Panel Cointegration and Dynamic Panels written by Badi H. Baltagi and published by Elsevier. This book was released on 2000 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the 16th Edition of Advances in Econometrics we present twelve papers discussing the current interface between Marketing and Econometrics. The authors are leading scholars in the fields and introduce the latest models for analysing marketing data. The papers are representative of the types of problems and methods that are used within the field of marketing. Marketing focuses on the interaction between the firm and the consumer. Economics encompasses this interaction as well as many others. Economics, along with psychology and sociology, provides a theoretical foundation for marketing.

Download or read book Econometric Analysis written by Sharif Hossain and published by Cambridge Scholars Publishing. This book was released on 2024-02-08 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the last four decades, the uses of econometric tools and techniques, irrespective of discipline, have been increasing rapidly for solving problems, appropriate decision-making and policy formulation. Generally, it is accepted that the study of modern business and economics is incomplete without a proper knowledge of econometric tools and techniques. In view of the increasing complexity and variety of problems in business and economics, students and researchers may not be able to cope and hence may remain unfamiliar with many aspects of business and economic problems. Thus, this book was written to explore basic and advanced studies of econometrics for undergraduate and graduate students of business and economics, as well as for researchers already engaged in these fields who require an introduction to econometric methods and their application for solving of real-life problems. The book offers a balanced presentation of fundamental and advanced levels of econometric concepts and methods, along with practical examples of their effective application in real-life problems.

Download or read book Cointegration Causality and Forecasting written by Halbert White and published by Oxford University Press, USA. This book was released on 1999 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of essays in honour of Clive Granger. The chapters are by some of the world's leading econometricians, all of whom have collaborated with and/or studied with both) Clive Granger. Central themes of Granger's work are reflected in the book with attention to tests for unit roots and cointegration, tests of misspecification, forecasting models and forecast evaluation, non-linear and non-parametric econometric techniques, and overall, a careful blend of practical empirical work and strong theory. The book shows the scope of Granger's research and the range of the profession that has been influenced by his work.