Wholesale power markets operating over transmission grids subject to congestion have distinctive features that complicate the detection of market power and operational inefficiency. This study uses the AMES wholesale power market test bed with strategically learning traders to experimentally...

This study uses an agent-based computational labor market framework to experimentally study the relationship between job capacity, job concentration, and market power. Job capacity is measured by the ratio of potential job openings to potential work orders, and job concentration is measured by...

Although Locational Marginal Pricing (LMP) plays an important role in many restructured wholesale power markets, the detailed derivation of LMPs as actually used in industry practice is not readily available. This lack of transparency greatly hinders the efforts of researchers to evaluate the...

This study investigates the complicated nonlinear effects of demand-bid price sensitivity and supply-offer price caps on Locational Marginal Prices (LMPs) for bulk electric power when profit-seeking generators can learn over time how to strategize their supply offers. Systematic computational...

This study reports on the model development and open-source implementation (in Java) of an agent-based computational wholesale power market organized in accordance with core FERC-recommended design features and operating over a realistically rendered transmission grid subject to congestion...

This paper reports on computational experiments for an agent-based computational economics (ACE) model of a labor market with choice and refusal of contractual partners and endogenously evolving work-site behavior. Three types of labor market structures are examined: two-sided markets comprising...

This study uses an agent-based test bed ("AMES") to investigate separation and volatility of locational marginal prices (LMPs) in an ISO-managed restructured wholesale power market operating over an AC transmission grid. Particular attention is focused on the dynamic and cross-sectional response...

High-speed market connections and information processing improve the ability to seize trading opportunities, raising gains from trade. They also enable fast traders to process information before slow traders, generating adverse selection, and thus negative externalities. When investing in fast...

High-speed market connections improve investors' ability to search for attractive quotes in fragmented markets, raising gains from trade. They also enable fast traders to observe market information before slow traders, generating adverse selection, and thus negative externalities. When investing...

The debate over privatizing Medicare stems from a fundamental disagreement about whether privatization would primarily generate consumer surplus for individuals or producer surplus for insurance companies and health care providers. This paper investigates this question by studying an existing...