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Causal Ordering and Beyond

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  • Gilli, Manfred

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.

Suggested Citation

  • Gilli, Manfred, 1992. "Causal Ordering and Beyond," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(4), pages 957-971, November.
  • Handle: RePEc:ier:iecrev:v:33:y:1992:i:4:p:957-71
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    Cited by:

    1. Bates, Samuel & Angeon, Valérie & Ainouche, Ahmed, 2014. "The pentagon of vulnerability and resilience: A methodological proposal in development economics by using graph theory," Economic Modelling, Elsevier, vol. 42(C), pages 445-453.
    2. Hallett, A. J. Hughes & Piscitelli, Laura, 1998. "Simple reordering techniques for expanding the convergence radius of first-order iterative techniques," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1319-1333, August.
    3. Gelman, Irit Askira, 2005. "Addressing time-scale differences among decision-makers through model abstractions," European Journal of Operational Research, Elsevier, vol. 160(2), pages 325-335, January.
    4. Faust, Jon & Tryon, Ralph, 1995. "A Distributed Block Approach to Solving Near-Block-Diagonal Systems with an Application to a Large Macroeconometric Model," Computational Economics, Springer;Society for Computational Economics, vol. 8(4), pages 303-316, November.
    5. Gilli, Manfred & Garbely, Myriam, 1996. "Matchings, covers, and Jacobian matrices," Journal of Economic Dynamics and Control, Elsevier, vol. 20(9-10), pages 1541-1556.
    6. 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.
    7. Jon Faust & Ralph W. 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.).

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