Structural Analysis of Cointegrating VARs
AbstractThis survey uses a number of recent developments in the analysis of cointegrating Vector Autoregressions (VAR) to examine the links to the older structural modelling traditions using Autoregressive Distributed Lag (ARDL) and Simultaneous Equations Models (SEM). In particular, it emphasises the importance of using judgement and economic theory to supplement the statistical information. After a brief historical review, it sets out the statistical framework, starting from the structural vector ARDL model, and discusses the large number of choices applied workers have to make in determining a specification. It considers one choice, the size of the VAR, in more detail and examines the advantages of the use of exogenous variables. The issues are illustrated with a small US macroeconomic model.
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Bibliographic InfoPaper provided by Faculty of Economics, University of Cambridge in its series Cambridge Working Papers in Economics with number 9811.
Date of creation: 1998
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