On Weak Exogeneity In Error Correction Models
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Author | : Jean-Pierre Urbain |
Publisher | : Springer Science & Business Media |
Total Pages | : 201 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 3642957064 |
In the recent years, the study of cointegrated time series and the use of error correction models have become extremely popular in the econometric literature. This book provides an analysis of the notion of (weak) exogeneity, which is necessary to sustain valid inference in sub-systems, inthe framework of error correction models (ECMs). In many practical situations, the applied econometrician wants to introduce "structure" on his/her model in order to get economically meaningful coefficients. For thispurpose, ECMs in structural form provide an appealing framework, allowing the researcher to introduce (theoretically motivated) identification restrictions on the long run relationships. In this case, the validity of the inference will depend on a number of conditions which are investigated here. In particular,we point out that orthogonality tests, often used to test for weak exogeneity or for general misspecification, behave poorly in finite samples and are often not very useful in cointegrated systems.
Author | : Jean-Pierre Urbain |
Publisher | : |
Total Pages | : 62 |
Release | : 1991* |
Genre | : |
ISBN | : |
Author | : Herman Peter Boswijk |
Publisher | : |
Total Pages | : 13 |
Release | : 1991 |
Genre | : |
ISBN | : |
Author | : Neil R. Ericsson |
Publisher | : |
Total Pages | : 28 |
Release | : 1994 |
Genre | : Econometric models |
ISBN | : |
Author | : Anindya Banerjee |
Publisher | : Oxford University Press |
Total Pages | : 344 |
Release | : 1993-05-27 |
Genre | : Business & Economics |
ISBN | : 0191638919 |
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.
Author | : Neil R. Ericsson |
Publisher | : |
Total Pages | : 44 |
Release | : 1991 |
Genre | : Econometrics |
ISBN | : |
Author | : Neil R. Ericsson |
Publisher | : |
Total Pages | : 436 |
Release | : 1994 |
Genre | : Business & Economics |
ISBN | : 9780198774044 |
This book discusses the nature of exogeneity, a central concept in standard econometrics texts, and shows how to test for it through numerous substantive empirical examples from around the world, including the UK, Argentina, Denmark, Finland, and Norway. Part I defines terms and provides the necessary background; Part II contains applications to models of expenditure, money demand, inflation, wages and prices, and exchange rates; and Part III extends various tests of constancy and forecast accuracy, which are central to testing super exogeneity. About the Series Advanced Texts in Econometrics is a distinguished and rapidly expanding series in which leading econometricians assess recent developments in such areas as stochastic probability, panel and time series data analysis, modeling, and cointegration. In both hardback and affordable paperback, each volume explains the nature and applicability of a topic in greater depth than possible in introductory textbooks or single journal articles. Each definitive work is formatted to be as accessible and convenient for those who are not familiar with the detailed primary literature.
Author | : Søren Johansen |
Publisher | : Oxford University Press, USA |
Total Pages | : 280 |
Release | : 1995 |
Genre | : Business & Economics |
ISBN | : 0198774508 |
This monograph is concerned with the statistical analysis of multivariate systems of non-stationary time series of type I. It applies the concepts of cointegration and common trends in the framework of the Gaussian vector autoregressive model.
Author | : Neil R. Ericsson |
Publisher | : |
Total Pages | : 58 |
Release | : 1999 |
Genre | : Cointegration |
ISBN | : |
Author | : Katarina Juselius |
Publisher | : OUP Oxford |
Total Pages | : 478 |
Release | : 2006-12-07 |
Genre | : Business & Economics |
ISBN | : 0191622966 |
This valuable text provides a comprehensive introduction to VAR modelling and how it can be applied. In particular, the author focuses on the properties of the Cointegrated VAR model and its implications for macroeconomic inference when data are non-stationary. The text provides a number of insights into the links between statistical econometric modelling and economic theory and gives a thorough treatment of identification of the long-run and short-run structure as well as of the common stochastic trends and the impulse response functions, providing in each case illustrations of applicability. This book presents the main ingredients of the Copenhagen School of Time-Series Econometrics in a transparent and coherent framework. The distinguishing feature of this school is that econometric theory and applications have been developed in close cooperation. The guiding principle is that good econometric work should take econometrics, institutions, and economics seriously. The author uses a single data set throughout most of the book to guide the reader through the econometric theory while also revealing the full implications for the underlying economic model. To test ensure full understanding the book concludes with the introduction of two new data sets to combine readers understanding of econometric theory and economic models, with economic reality.