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This Book Is Wide-ranging In Its Account Of Literature On Cointegration 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 Analyzing Such Data Are Relatively New, With Few Existing Expositions Of The Literature. This Book Explores Relationships Among Integrated Data Series And Their Use In Dynamic Econometric Modelling. The Concepts Of Cointegration 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 Both Econometric Theorists And Applied Econometricians. By Explaining The Important Concepts Informally And Presenting Them Formally, The Book Bridges The Gap Between Purely Descriptive And Purely Theoretical Accounts Of The Literature. The Work Describes The Asymptotic Theory Of Integrated Processes And Uses The Tools Provided By This Theory To Develop The Distributions Of Estimators And Test Statistics. It Emphasizes Practical Modelling Advice And The Use Of Techniques For Systems Estimation. 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.
This text investigates the methodological challenges of analyzing non-stationary data in economics, specifically focusing on the application of cointegration and error-correction models. The authors, a team of distinguished econometricians, synthesize existing literature to provide a rigorous framework for modeling integrated processes. By balancing informal conceptual explanations with formal asymptotic theory, the book establishes a systematic approach for both theorists and applied researchers to handle data that accumulate the effects of past shocks.
What You Will Find
Experts recognize this work as a foundational text for understanding the evolution of time series econometrics. Readers frequently note the technical density of the prose, which requires a solid background in matrix algebra and statistical theory to fully grasp the presented methodologies.
Page Count:
329
Publication Date:
1993-05-01
Publisher:
Clarendon Press
ISBN-10:
0198287003
ISBN-13:
9780198287001
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