Linking Structure to Behavior Using Eigenvalue Elasticity Analysis

In Rahmandad, H., R. Oliva and N. Osgood (eds.) Analytical Methods for Dynamic Modelers, pp. 207-239. MIT Press: Cambridge, MA (2015)

26 Pages Posted: 16 Feb 2018

See all articles by Rogelio Oliva

Rogelio Oliva

Mays Business School, Texas A&M University

Date Written: 2015

Abstract

Eigenvalue elasticity analysis (EEA) is a set of methods to assess the effect of structure on behavior in dynamic models. It works by considering observed model behavior as a combination of characteristic behavior modes and by assessing the relative importance of particular elements of system structure in influencing these behavior modes. Elements of the model structure that have a large influence on particular behaviors can provide important clues to the modeler to identify areas for further testing and study, and for policy analysis. The method uses linear systems theory to 1) decompose the observed behavior into its constituent behavior modes, such as oscillation, growth, and exponential adjustment, and 2) outline how a particular behavior modes and its appearance in a given system variable depend upon particular parameters and structural elements (links and loops) in the system. In this manner, the method provides a very precise account of the relationship between structure and behavior.

Keywords: structural dominance analysis, system dynamics

Suggested Citation

Oliva, Rogelio, Linking Structure to Behavior Using Eigenvalue Elasticity Analysis (2015). In Rahmandad, H., R. Oliva and N. Osgood (eds.) Analytical Methods for Dynamic Modelers, pp. 207-239. MIT Press: Cambridge, MA (2015). Available at SSRN: https://ssrn.com/abstract=3118285

Rogelio Oliva (Contact Author)

Mays Business School, Texas A&M University ( email )

430 Wehner
College Station, TX 77843-4218
United States

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