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Causal Ordering and Beyond

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Author Info
Gilli, Manfred

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Abstract

Constant improvement of computing facilities creates a trend to build always larger macroeconomic models. To master these huge and complex models, much effort must be spent to investigate their functioning, mostly by means of simulations or perturbations of their original structure. Such investigations can be greatly facilitated if one has a sound knowledge of the logical structure of the model. This paper presents a graph theory-based methodology that explores the logical implications of a model's specification. Copyright 1992 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.

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Publisher Info
Article provided by Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association in its journal International Economic Review.

Volume (Year): 33 (1992)
Issue (Month): 4 (November)
Pages: 957-71
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Handle: RePEc:ier:iecrev:v:33:y:1992:i:4:p:957-71

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  1. Jon Faust & Ralph Tryon, 1995. "Block distributed methods for solving multi-country econometric models," International Finance Discussion Papers 516, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
  2. Jon Faust & Ralph Tryon, 1994. "A distributed block approach to solving near-block-diagonal systems with an application to a large macroeconometric model," International Finance Discussion Papers 488, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
    Other versions:
  3. Norman R. Swanson & C. W.J. Granger, 1992. "Impulse Response Functions Based on a Causal Approach to Residual Orthogonalizaton in Vector Autoregressions," University of California at San Diego, Economics Working Paper Series 92-50, Department of Economics, UC San Diego. [Downloadable!]
  4. Alessio Moneta, 2003. "Graphical Models for Structural Vector Autoregressions," LEM Papers Series 2003/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy. [Downloadable!]
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