Document Type

Working Paper

Publication Date

2-2-2010

Working Paper Number

WP #10001, January 2010 revised February 2010; Old working paper #13155

Abstract

Many critical goods and services in modern-day economies are produced and distributed through complex institutional arrangements. Agent-based computational economics (ACE) modeling tools are capable of handling this degree of complexity. In concrete support of this claim, this study presents an ACE test bed designed to permit the exploratory study of restructured U.S. wholesale power markets with transmission grid congestion managed by locational marginal prices (LMPs). Illustrative findings are presented showing how spatial LMP cross-correlation patterns vary systematically in response to changes in the price responsiveness of wholesale power demand when wholesale power sellers have learning capabilities. These findings highlight several distinctive features of ACE modeling: namely, an emphasis on process rather than on equilibrium; an ability to capture complicated structural, institutional, and behavioral real-world aspects (micro-validation); and an ability to study the effects of changes in these aspects on spatial and temporal outcome distributions.

Publication Status

Published in Computational Methods in Economic Dynamics, H. Dawid and W. Semmler (Eds.), Springer-Verlag, Berlin Heidelberg, Vol. 13 (2011): 135-158.

JEL Classification

C6, D4, D6, L1, L3, L94, Q4

File Format

application/pdf

Length

27 pages

File Function

Revised: February 2010 (Original version: January 2010)

Included in

Economics Commons

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